804 lines
38 KiB
JSON
804 lines
38 KiB
JSON
{
|
|
"id": "08b953e1",
|
|
"capability_gap": "need a technology that improves Space Domain Awareness for objects beyond the diffraction limit",
|
|
"timestamp": "2026-01-13T12:10:11.647889",
|
|
"decomposition": {
|
|
"original_query": "need a technology that improves Space Domain Awareness for objects beyond the diffraction limit",
|
|
"understanding": "The capability gap requires a technology that improves Space Domain Awareness (SDA) for objects beyond the diffraction limit, likely involving advanced imaging or sensing techniques to detect and track small or distant targets. This may involve novel optical or non-optical methods, such as super-resolution microscopy, compressive sensing, or machine learning-based image processing.",
|
|
"technical_domains": [
|
|
"Optics",
|
|
"Imaging",
|
|
"Sensing",
|
|
"Machine Learning",
|
|
"Signal Processing",
|
|
"Compressive Sensing"
|
|
],
|
|
"search_queries": [
|
|
"super resolution imaging for space domain awareness",
|
|
"compressive sensing algorithms for object detection beyond diffraction limit",
|
|
"machine learning-based image processing for small target tracking",
|
|
"novel optical techniques for improving space domain awareness",
|
|
"signal processing approaches for enhancing object detection in space"
|
|
],
|
|
"sbir_queries": [
|
|
"R&D on super-resolution microscopy for detecting small objects in space",
|
|
"Development of compressive sensing algorithms for real-time object tracking beyond diffraction limit",
|
|
"Machine learning-based image processing for improving SDA in space domain awareness applications"
|
|
],
|
|
"patent_queries": [
|
|
"Patent search: 'super resolution imaging' AND 'space domain awareness'",
|
|
"Patent search: 'compressive sensing' AND 'object detection' AND 'optics'"
|
|
],
|
|
"news_queries": [
|
|
"Recent advancements in super-resolution microscopy for space exploration",
|
|
"Machine learning-based image processing improves object tracking in space"
|
|
],
|
|
"keywords": [
|
|
"super resolution",
|
|
"compressive sensing",
|
|
"machine learning",
|
|
"image processing",
|
|
"signal processing"
|
|
],
|
|
"exclusions": [
|
|
"diffraction limit",
|
|
"optical telescopes",
|
|
"traditional imaging techniques"
|
|
],
|
|
"target_trl_range": [
|
|
4,
|
|
7
|
|
],
|
|
"success": true,
|
|
"error": null
|
|
},
|
|
"candidates": [
|
|
{
|
|
"id": "08b953e1-0",
|
|
"title": "Real-Time Target Detection Method Based on Lightweight Convolutional Neural Network - PMC",
|
|
"organization": "Unknown",
|
|
"description": "The traditional target detection process is as follows: first, multiple image regions with possible target objects are selected by sliding windows of different sizes; then, feature extraction methods such as SIFT (scale-invariant feature transform) and HOG (histogram of oriented gradient) are used to transform the information contained in the region into feature vectors and then classify them, commonly using the support vector machine (SVM) classifier.",
|
|
"source_type": "government",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC9426345/",
|
|
"score": 0.6575,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-1",
|
|
"title": "AFOSR - Physical Sciences > WIN THE FUTURE > Display",
|
|
"organization": "Unknown",
|
|
"description": "... Space Force operations, from the perspective of sensing, characterizing, and managing the operational environment as well as developing advanced ...",
|
|
"source_type": "government",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.afrl.af.mil/About-Us/Fact-Sheets/Fact-Sheet-Display/Article/2282129/afosr-physical-sciences/",
|
|
"score": 0.6575,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-2",
|
|
"title": "Adaptive quantum accelerated imaging for space domain awareness",
|
|
"organization": "Unknown",
|
|
"description": "February 12, 2024 - Especially, as the scene gets more complex, QAI shows consistent performance whereas DI tends to show performance degradation. Lastly, we present an initial successful result of QAI estimation of the scene with turbulence. Overall, our findings highlight the significant potential and superiority of QAI for high-precision astronomical imaging in space domain awareness.",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://arxiv.org/html/2402.08047v1",
|
|
"score": 0.6425,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-3",
|
|
"title": "[2402.08047] Adaptive quantum accelerated imaging for space domain awareness",
|
|
"organization": "Unknown",
|
|
"description": "February 12, 2024 - From: Hyunsoo Choi [view email] [v1] Mon, 12 Feb 2024 20:27:36 UTC (3,157 KB) ... View a PDF of the paper titled Adaptive quantum accelerated imaging for space domain awareness , by Hyunsoo Choi and 2 other authors",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://arxiv.org/abs/2402.08047",
|
|
"score": 0.6425,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-4",
|
|
"title": "[PDF] Photoacoustic imaging beyond the acoustic diffraction-limit with dynamic speckle illumination and sparse joint support recovery - arXiv",
|
|
"organization": "Unknown",
|
|
"description": "Here, we show that by adapting an advanced computational reconstruction algorithm based on a compressed-sensing framework it is possible to obtain an ...",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://arxiv.org/pdf/1612.08278",
|
|
"score": 0.6425,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-5",
|
|
"title": "Deep learning-based lightweight radar target detection method | Journal of Real-Time Image Processing",
|
|
"organization": "Unknown",
|
|
"description": "May 27, 2023 - For target detection tasks in complicated backgrounds, a deep learning-based radar target detection method is suggested to address the problems of a high false alarm rate and the difficulties of achieving high-performance detection by conventional methods. Considering the issues of large parameter count and memory occupation of the deep learning-based target detection models, a lightweight target detection method based on improved YOLOv4-tiny is proposed.",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://link.springer.com/article/10.1007/s11554-023-01316-5",
|
|
"score": 0.6425,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-6",
|
|
"title": "\"Techniques for Improved Space Object Detection Performance",
|
|
"organization": "Unknown",
|
|
"description": "Becker, David J., \" Techniques for Improved Space Object Detection Performance from Ground-Based Telescope Systems Using Long and Short Exposure ...",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://scholar.afit.edu/etd/1915/",
|
|
"score": 0.6425,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-7",
|
|
"title": "Diffraqtion Secures $4.2 Million to Deploy Quantum Camera Constellations for SDA \u2013 SatNews",
|
|
"organization": "Unknown",
|
|
"description": "The capital will accelerate the development of the company\u2019s novel \u201c quantum camera \u201d technology, designed to provide high-resolution imaging and Space Domain Awareness (SDA) capabilities that bypass traditional optical limits.",
|
|
"source_type": "news",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://news.satnews.com/2026/01/13/diffraqtion-secures-4-2-million-to-deploy-quantum-camera-constellations-for-sda/",
|
|
"score": 0.62,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-8",
|
|
"title": "(PDF) Adaptive quantum accelerated imaging for space domain awareness",
|
|
"organization": "Unknown",
|
|
"description": "August 1, 2024 - Our SSRI algorithm allows existing telescope-based optical/infrared imaging systems to overcome the extreme limit of sub-Rayleigh, low SNR source distributions , potentially impacting a wide range of fields, including passive thermal imaging, ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.researchgate.net/publication/382490635_Adaptive_quantum_accelerated_imaging_for_space_domain_awareness",
|
|
"score": 0.605,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-9",
|
|
"title": "BlackSky secures HEO contract for Space Domain Awareness and Non-Earth Imaging",
|
|
"organization": "Unknown",
|
|
"description": "As part of the collaboration, BlackSky will provide high-resolution imagery from its mid-inclination orbit satellites to HEO . These capabilities will enhance NEI data collection, particularly over the middle latitudes of Earth.",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.spacewar.com/reports/BlackSky_Secures_Contract_with_HEO_to_Enhance_Space_Domain_Awareness_and_Non_Earth_Imaging_999.html",
|
|
"score": 0.605,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-10",
|
|
"title": "Compressive imaging beyond the sensor's physical resolution via coded exposure combined with time-delay integration - ScienceDirect",
|
|
"organization": "Unknown",
|
|
"description": "We propose a high-resolution compressive imaging framework that implements spatial encoding by combining coded exposure with time-delay integration.",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.sciencedirect.com/science/article/abs/pii/S0143816623000209",
|
|
"score": 0.605,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-11",
|
|
"title": "Domain Ship Detection on Spaceborne Optical Image",
|
|
"organization": "Unknown",
|
|
"description": "However, most of the popular techniques for ship detection from optical spaceborne imageshave two shortcomings: 1) Compared with infrared and ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://matlabprojects.org/domain-ship-detection-on-spaceborne-optical-image/",
|
|
"score": 0.605,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-12",
|
|
"title": "A Novel Technique for Realistic Uncertainty Characterization In",
|
|
"organization": "Unknown",
|
|
"description": "... applies established propagation methods without invoking extra computation resources, the technique is appropriate for application in realistic space ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://amostech.space/year/2025/a-novel-technique-for-realistic-uncertainty-characterization-in-dynamic-leo-environment/",
|
|
"score": 0.605,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-13",
|
|
"title": "2024 Technical Papers - AMOS Conference",
|
|
"organization": "Unknown",
|
|
"description": "Passive Radio Frequency Techniques & Demonstration for Space Domain Awareness Zachary Leffke, Virginia Tech National Security Institute; Kevin ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://amostech.com/2024-technical-papers/",
|
|
"score": 0.605,
|
|
"relevance_score": 0.8,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-14",
|
|
"title": "How we track near-Earth asteroids",
|
|
"organization": "Unknown",
|
|
"description": "Early this year, a surprise space rock made headlines around the globe when the International Asteroid Warning Network sounded its highest alarm since...",
|
|
"source_type": "news",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.yahoo.com/news/articles/track-near-earth-asteroids-162011503.html",
|
|
"score": 0.5260165798384056,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": "2025-12-14T18:06:28+00:00",
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-15",
|
|
"title": "Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey",
|
|
"organization": "Unknown",
|
|
"description": "May 29, 2025 - The MRSISR method [224] proposes a multi-frame super-resolution framework that uses temporal information to optimize video satellite image reconstruction. Some other examples are the Enlighten-GAN method [225] and recent work [226] which both integrate spatial image modality and frequency domain modality information, and optimize the RSISR algorithm by combining perceptual loss with pixel reconstruction loss.",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://arxiv.org/html/2505.23248v1",
|
|
"score": 0.5025,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-16",
|
|
"title": "SUPER-RESOLUTION OF MULTISPECTRAL SATELLITE IMAGES USING",
|
|
"organization": "Unknown",
|
|
"description": "VDSR to Pl\u00e9iades as well as SPOT images. Here again only \u00b7 three bands with an 8-bit depth are used, therefore discarding \u00b7 spectral information available from the near infrared band as \u00b7 well as the higher spatial resolution that the panchromatic band \u00b7 would be able to offer. In Lanaras et al. (2018) Sentinel-2 bands \u00b7 of resolution 20 m and 60 m are super-resolved to 10 m using",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://arxiv.org/pdf/2002.00580",
|
|
"score": 0.5025,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-17",
|
|
"title": "Telescope imaging beyond the Rayleigh limit in extremely low SNR",
|
|
"organization": "Unknown",
|
|
"description": "January 17, 2024 - Our SSRI algorithm allows existing telescope-based optical/infrared imaging systems to overcome the extreme limit of sub-Rayleigh, low SNR source distributions, potentially impacting a wide range of fields, including passive thermal imaging, remote sensing, and space domain awareness. ... Traditional super-resolution techniques were developed for the field of microscopy where the sample/object to be imaged is accessible [1]. Thus, imaging resolution can be enhanced by labeling with unique light emitters [2, 3, 4], using patterned illumination sources, or engineering nano-scatterers in proximity to the object of interest [5] (e.g., metamaterials near the object [6, 7]).",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://arxiv.org/html/2310.10633v2",
|
|
"score": 0.5025,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-18",
|
|
"title": "Object tracking in infrared images using a deep learning model and a target-attention mechanism | Complex & Intelligent Systems",
|
|
"organization": "Unknown",
|
|
"description": "September 17, 2022 - Then, a module that efficiently initializes the target model is integrated. Zhang et al. [16] suggested an RGB-infrared fusion tracking strategy using visible and infrared images. To this end, a fully convolutional network based on the Siamese Networks (SiamFT) was suggested. In the first step, infrared and visible images are processed by an infrared network and a visible network.",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://link.springer.com/article/10.1007/s40747-022-00872-w",
|
|
"score": 0.5025,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-19",
|
|
"title": "Ultimate resolution limits of speckle-based compressive imaging - Optica Publishing Group",
|
|
"organization": "Unknown",
|
|
"description": "Jan 25, 2021 \u00b7 Here we present fundamental resolution limits of noiseless compressive imaging via sparsity constraints, speckle illumination and single-pixel detection.",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://opg.optica.org/abstract.cfm?uri=oe-29-3-3943",
|
|
"score": 0.465,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-20",
|
|
"title": "Small Object Detection and Tracking: A Comprehensive Review | MDPI",
|
|
"organization": "Unknown",
|
|
"description": "August 3, 2023 - A convolutional long short-term memory network learns informative appearance change in the detection process, enabling correlation-based tracking over its output. Another approach was proposed by Marvasti-Zadeh et al. [60], which used a two-stream multitask network and an offline proposal approach to track aerial small objects. The network, aided by the proposed proposal generation strategy, leverages context information to learn a generalized target model and handle viewpoint changes and occlusions.",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.mdpi.com/1424-8220/23/15/6887",
|
|
"score": 0.465,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-21",
|
|
"title": "Full article: Using deep learning in an embedded system for real-time target detection based on images from an unmanned aerial vehicle: vehicle detection as a case study",
|
|
"organization": "Unknown",
|
|
"description": "The received image is quickly processed by the YOLOv2 algorithm to identify the target . The response speed of the algorithm for real-time tracking needs to be faster than that of traditional methods such that it can track the target without ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.tandfonline.com/doi/full/10.1080/17538947.2023.2187465",
|
|
"score": 0.465,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-22",
|
|
"title": "Image Target Detection and Recognition Method Using Deep Learning - Sun - 2022 - Advances in Multimedia - Wiley Online Library",
|
|
"organization": "Unknown",
|
|
"description": "July 7, 2022 - Different from the traditional image detection methods, the target detection method based on R-CNN takes the simplest image as the target object . This method first needs to obtain candidate regions from the image to be detected and set all candidate ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://onlinelibrary.wiley.com/doi/10.1155/2022/4751196",
|
|
"score": 0.465,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-23",
|
|
"title": "Object Tracking based on Deep Learning | Virgilio",
|
|
"organization": "Unknown",
|
|
"description": "GOTURN involves a convolution network based on the input of a pair of images using the ALOV300+ video sequence set and the ImageNet sensing data set, and generates the position change from the previous frame in the detection area to obtain the target's position on the current frame.",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://virgili0.github.io/Virgilio/inferno/computer-vision/object-tracking.html",
|
|
"score": 0.465,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-24",
|
|
"title": "AI Detection, Target Tracking, and Computational Imaging on Embedded Processors | OEM.FLIR.com",
|
|
"organization": "Unknown",
|
|
"description": "Pelee incorporates a new feature fusion block (FFB) based on the Path Aggregation Feature Pyramid Network (PANet). Designed with small target detection in mind, the new FFB adopts a late fusion strategy, which aims to ensure that each feature map of the output retains the detailed information learned from the shallow layers and acquires high-level semantic features.",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://oem.flir.com/learn/discover/deploying-ai-object-detection--target-tracking-and-computational--imaging-algorithms-on-embedded-processors/",
|
|
"score": 0.465,
|
|
"relevance_score": 0.4,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-25",
|
|
"title": "Now You See Me Super-Resolution Microscopy",
|
|
"organization": "Unknown",
|
|
"description": "When single-molecule super-resolution microscopes were first commercialized some 15 years ago, they made headlines for their ability to resolve individual molecules and structures at the nanometer scale, well beyond the limits of traditional light microscopy.",
|
|
"source_type": "news",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.genengnews.com/topics/translational-medicine/now-you-see-me-super-resolution-microscopy/",
|
|
"score": 0.45601657983840554,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": "2025-12-04T00:00:00+00:00",
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-26",
|
|
"title": "Canada needs agency to manage public UFO sightings, says new federal report",
|
|
"organization": "Unknown",
|
|
"description": "Canada needs a transparent, public-facing agency in charge of managing reports of mystifying things...",
|
|
"source_type": "news",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.yahoo.com/news/canada-needs-agency-manage-public-122930138.html",
|
|
"score": 0.45601657983840554,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": "2025-07-17T18:06:28+00:00",
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-27",
|
|
"title": "US8452176B2 - Reachability matrices spanning multiple domains",
|
|
"organization": "Unknown",
|
|
"description": "... optical networks, and more specifically relates to a method and apparatus for generating reachability matrices to aid in routing across multiple ...",
|
|
"source_type": "patent",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://patents.google.com/patent/US8452176B2/en",
|
|
"score": 0.4475,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-28",
|
|
"title": "Super-resolution imaging via aperture modulation and intensity extrapolation | Scientific Reports",
|
|
"organization": "Unknown",
|
|
"description": "October 12, 2018 - SR technologies based on image reconstruction usually use a single or a sequence of low-resolution images to produce a high-resolution image. This kind of SR techniques attempt to retrieve the lost image details caused by insufficient sampling of imaging sensor, camera movement, ambient light, imperfect position of CCD camera, and so on13. Typically, this kind of SR methods can be divided into three groups: frequency domain methods, spatial domain methods and wavelet domain methods.",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.nature.com/articles/s41598-018-33416-9",
|
|
"score": 0.4325,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-29",
|
|
"title": "Endo-microscopy beyond the Abbe and Nyquist limits | Light: Science & Applications",
|
|
"organization": "Unknown",
|
|
"description": "May 7, 2020 \u00b7 Compressive sensing enables signal acquisition with a large reduction in sampling for signals that have a sparse representation, vastly reducing ...",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.nature.com/articles/s41377-020-0308-x",
|
|
"score": 0.4325,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-30",
|
|
"title": "[PDF] CS-Video: Algorithms, Architectures, and Applications for Compressive Video Sensing - Computer Systems Laboratory",
|
|
"organization": "Unknown",
|
|
"description": "Part-based models have had remarkable success over the past decade in object detection and classification problems. The key enabler of part-based inference ... Missing: diffraction | Show results with: diffraction",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.csl.cornell.edu/~studer/papers/17SPMAG_videocs.pdf",
|
|
"score": 0.4325,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-31",
|
|
"title": "Deep learning for compressive sensing: a ubiquitous systems perspective | Artificial Intelligence Review - Springer Link",
|
|
"organization": "Unknown",
|
|
"description": "Sep 7, 2022 \u00b7 Compressive sensing (CS) is a mathematically elegant tool for reducing the sensor sampling rate, potentially bringing context-awareness to a ... Missing: diffraction | Show results with: diffraction",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://link.springer.com/article/10.1007/s10462-022-10259-5",
|
|
"score": 0.4325,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-32",
|
|
"title": "[PDF] Pitfalls and possibilities of radar compressive sensing",
|
|
"organization": "Unknown",
|
|
"description": "In this paper, we consider the application of compressive sensing (CS) to radar remote sensing applications. We survey a suite of practical system-level ...",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://arrc.ou.edu/~goodman/pubs/AO_15_Pitfalls_possibilities_radar_CS.pdf",
|
|
"score": 0.4325,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-33",
|
|
"title": "[PDF] Compressive Image Super-resolution",
|
|
"organization": "Unknown",
|
|
"description": "Abstract\u2014 This paper proposes a new algorithm to generate a super-resolution image from a single, low-resolution input without the use of a training data ... Missing: detection diffraction",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://web.ece.ucsb.edu/~psen/Papers/Asilomar09_CompressiveSuperRes.pdf",
|
|
"score": 0.4325,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-34",
|
|
"title": "Multi-target detection and tracking based on CRF network and spatio-temporal attention for sports videos | Scientific Reports",
|
|
"organization": "Unknown",
|
|
"description": "February 25, 2025 - This enhances the robustness of object detection, especially in cases of varying illumination or high levels of image noise. We introduce a spatiotemporal attention mechanism within this framework, allowing the network to focus on time steps and spatial locations relevant to the current target. This reduces interference between objects, effectively handling occlusions and drift caused by interactions among objects. The rest of this article includes the following. \u201cRelated work\u201d presents target detection and machine learning methods, and \u201cProposed method\u201d presents the proposed method.",
|
|
"source_type": "academic",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.nature.com/articles/s41598-025-89929-7",
|
|
"score": 0.4325,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-35",
|
|
"title": "AI in Pro AV: Here and Now",
|
|
"organization": "Unknown",
|
|
"description": "AI Scientists. It might be the hottest buzzword in Pro AV right now, but manufacturers have been incorporating AI in products and services for some time....",
|
|
"source_type": "news",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.yahoo.com/tech/ai-pro-av-now-070316035.html",
|
|
"score": 0.4205554811831748,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": "2024-01-14T18:06:28+00:00",
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-36",
|
|
"title": "Super-resolution imaging - Wikipedia",
|
|
"organization": "Unknown",
|
|
"description": "1 month ago - These methods use other parts of the low resolution images, or other unrelated images, to guess what the high-resolution image should look like. Algorithms can also be divided by their domain: frequency or space domain. Originally, super-resolution methods worked well only on grayscale images, but researchers have found methods to adapt them to color camera images.",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://en.wikipedia.org/wiki/Super-resolution_imaging",
|
|
"score": 0.395,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-37",
|
|
"title": "Low-resolution compressed sensing and beyond for communications and sensing: Trends and opportunities - ScienceDirect",
|
|
"organization": "Unknown",
|
|
"description": "This survey paper examines recent advancements in low-resolution signal processing, emphasizing quantized compressed sensing. Missing: diffraction | Show results with: diffraction",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.sciencedirect.com/science/article/pii/S0165168425001343",
|
|
"score": 0.395,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-38",
|
|
"title": "High\u2010speed 4\u2010dimensional scanning transmission electron microscopy using compressive sensing techniques - Wiley Online Library",
|
|
"organization": "Unknown",
|
|
"description": "May 6, 2024 \u00b7 Here we show that compressive sensing allows 4-dimensional (4-D) STEM data to be obtained and accurately reconstructed with both high-speed ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://onlinelibrary.wiley.com/doi/10.1111/jmi.13315",
|
|
"score": 0.395,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-39",
|
|
"title": "Explore Advanced Object Tracking in Computer Vision",
|
|
"organization": "Unknown",
|
|
"description": "August 26, 2025 - The tracking-by-detection method involves an independent detector that is applied to all image frames to obtain likely detections, and then a tracker, which is run on the set of detections .",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://viso.ai/deep-learning/object-tracking/",
|
|
"score": 0.395,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-40",
|
|
"title": "(PDF) Multi-Scale Frequency-Aware Transformer for Pipeline Leak",
|
|
"organization": "Unknown",
|
|
"description": "... consists of four core components: a frequency-aware embedding layer that achieves joint representation learning of time-frequency dual- domain ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.researchgate.net/publication/396643311_Multi-Scale_Frequency-Aware_Transformer_for_Pipeline_Leak_Detection_Using_Acoustic_Signals",
|
|
"score": 0.395,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-41",
|
|
"title": "AFSPC A5CS SSA Activities \u2013 AMOS Technical Library",
|
|
"organization": "Unknown",
|
|
"description": "The ever- growing population of resident space objects necessitates improved Space Situational Awareness (SSA) to ensure safety of flight and enable ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://amostech.space/year/2011/afspc-a5cs-ssa-activities/",
|
|
"score": 0.395,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-42",
|
|
"title": "CVPR 2023 Schedule",
|
|
"organization": "Unknown",
|
|
"description": "OmniLabel: Infinite label spaces for semantic understanding via natural language ... and Challenge on Computer Vision in the Built Environment for ...",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://cvpr.thecvf.com/virtual/2023/calendar",
|
|
"score": 0.395,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-43",
|
|
"title": "Nebula Public Library | The knowledge bank of ESA\u2019s R&D",
|
|
"organization": "Unknown",
|
|
"description": "0- Space Situational Awareness ... 1- Space Situational Awareness ... 39- Space Situational Awareness",
|
|
"source_type": "web",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://nebula.esa.int/advanced-filtering",
|
|
"score": 0.395,
|
|
"relevance_score": 0.2,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": null,
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-44",
|
|
"title": "The 30 Best Work-From-Home Jobs in 2024",
|
|
"organization": "Unknown",
|
|
"description": "As more businesses continue to embrace a remote- work model, work-from-home job openings continue to increase. Plus, advances in generative AI technology...",
|
|
"source_type": "news",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.aol.com/30-best-home-jobs-2024-125700220.html",
|
|
"score": 0.3860165798384056,
|
|
"relevance_score": 0.0,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": "2025-01-13T18:06:28+00:00",
|
|
"award_id": null,
|
|
"patent_number": null
|
|
},
|
|
{
|
|
"id": "08b953e1-45",
|
|
"title": "6 interesting facts about how web designers are using AI",
|
|
"organization": "Unknown",
|
|
"description": "AI technology has made web design more accessible than ever. But how has it changed the lives of the...",
|
|
"source_type": "news",
|
|
"source": "DuckDuckGo",
|
|
"url": "https://www.yahoo.com/tech/6-interesting-facts-designers-using-144236867.html",
|
|
"score": 0.3860165798384056,
|
|
"relevance_score": 0.0,
|
|
"trl_estimate": null,
|
|
"award_amount": null,
|
|
"published_date": "2025-01-13T18:06:28+00:00",
|
|
"award_id": null,
|
|
"patent_number": null
|
|
}
|
|
],
|
|
"source_stats": {
|
|
"sbir": 0,
|
|
"patents": 0,
|
|
"contracts": 0,
|
|
"web": 20,
|
|
"news": 7
|
|
},
|
|
"total_results_found": 46,
|
|
"search_duration_seconds": 247.928989,
|
|
"success": true,
|
|
"error": null
|
|
} |