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Satellite-imagery

Published on
December 19, 2024
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery
aircraft-detection HRPlanesV2-dataset object-detection DETR deep-learning-algorithms Recall GDIT-dataset Intersection-over-Union RetinaNet Faster-RCNN remote-sensing satellite-imagery YOLO RTMDet algorithm-selection mean-average-precision CenterNet
• Machine Learning Research & Development, TOELT LLC AI lab, Winterthur, Switzerland• Machine Learning Research & Development, TOELT LLC AI lab, Winterthur, Switzerland; Institute of Applied Mathematics & Physics, ZHAW - Zurich University of Applied Sciences, Winterthur, Switzerland• Competence Center for AI and Simulation, armasuisse S+T, Thun, Switzerland• Machine Learning Research & Development, TOELT LLC AI lab, Winterthur, Switzerland; Computer Science Department, Lucerne University of Applied Science and Arts, Luzern, Switzerland
Published on
December 18, 2024
Predicting Internet Connectivity in Schools: A Feasibility Study Leveraging Multi-modal Data and Location Encoders in Low-Resource Settings
Earth-Observation-datasets satellite-imagery data-driven-infrastructure-development collaboration-between-UNICEF-and-European-Space-Agency Machine-Learning digital-literacy geographically-aware-location-encoders low-resource-settings internet-connectivity digital-infrastructure-development
• UNICEF, University of Oxford• European Space Agency -lab• UNICEF
Published on
December 18, 2024
A Pipeline and NIR-Enhanced Dataset for Parking Lot Segmentation
satellite-imagery deep-learning-models image-mask-pairs Near-Infrared-(NIR)-channels post-processing-techniques parking-lot-segmentation semantic-segmentation
Published on
December 17, 2024
Data-driven Precipitation Nowcasting Using Satellite Imagery
seasonal-patterns satellite-imagery temporal-patterns real-time-prediction disaster-early-warning geostationary-satellite precipitation-forecasting positional-encoders Neural-Precipitation-Model
Published on
December 17, 2024
Analysis of Object Detection Models for Tiny Object in Satellite Imagery: A Dataset-Centric Approach
Byte-Track-algorithm deep-learning satellite-imagery small-object-detection object-detection state-of-the-art-models tracking segmentation dataset
Published on
December 12, 2024
Improving Satellite Imagery Masking using Multi-task and Transfer Learning
water-quality-estimation remote-sensing cloud-and-cloud-shadow-estimation masking Harmonized-Landsat-and-Sentinel-imagery model-evaluation multi-task-learning deep-learning satellite-imagery transfer-learning
• College of Information and Computer Sciences, University of Massachusetts, Amherst, MA 01003, USA• Department of Geology and Environmental Science, University of Pittsburgh, Pittsburgh, PA 15260, USA• Department of Civil and Environmental Engineering, University of Massachusetts, Amherst, MA 01003, USA• Department of Earth, Marine and Environmental Science, University of North Carolina, Chapel Hill, NC 27599, USA
Published on
December 12, 2024
SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting
vision-language-models remote-sensing land-use-mapping CLIP Sentinel-2 classification-accuracy zero-shot-classification ground-level-prompting satellite-imagery
• Mediterranean Agronomic Institute of Montpellier - CIHEAM-IAMM• Inria
Published on
December 10, 2024
Space to Policy: Scalable Brick Kiln Detection and Automatic Compliance Monitoring with Geospatial Data
brick-kiln-sector government-policies air-quality-modeling satellite-imagery environmental-sustainability compliance-measures economic-development emission-inventories livelihoods-of-workers automated-compliance-analysis object-detection air-pollution source-apportionment machine-learning
• Indian Institute of Technology Gandhinagar
Published on
December 6, 2024
Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments
Gaussian-process spatial-data causal-reasoning high-dimensional-inputs linear-spatial-regression causal-effects satellite-imagery propensity-score partially-observed-outcomes neural-network spatial-interference decision-making unobserved-confounding
• Department of Civil and Environmental Engineering, Duke University• Department of Computational Biology and Bioinformatics, Duke University
Published on
December 4, 2024
From Pixels to Planes: Minimum Ground Sample Distance for Aircraft
camera-design aircraft-detection satellite-imagery YOLOv8s-model detection-performance ground-sample-distance
• Unknown
Published on
December 3, 2024
Spatial-variant causal Bayesian inference for rapid seismic ground failures and impacts estimation
spatial-relationships remote-sensing-technologies causal-graph-based-Bayesian-network building-damage satellite-imagery spatial-heterogeneity hazard-estimation seismic-activity post-earthquake-ground-failures bilateral-filter