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Earth Observation

Earth Observation (EO) refers to the use of remote sensing technologies to monitor land, marine (seas, rivers, lakes) and atmosphere. Satellite-based EO relies on the use of satellite-mounted payloads to gather imaging data about the Earth’s characteristics. The images are then processed and analyzed in order to extract different types of information that can serve a very wide range of applications and industries.

Papers

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Showing 51–100 of 518 papers

TitleStatusHype
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature WildCode1
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity PredictionCode1
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation PretrainingCode1
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing ImagesCode1
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image MatchingCode1
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral DataCode1
Learning a Cross-modality Anomaly Detector for Remote Sensing ImageryCode1
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery ClassificationCode1
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image SegmentationCode1
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention NetworksCode1
Generating Physically-Consistent Satellite Imagery for Climate VisualizationsCode1
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based ApproachCode1
Lightweight Temporal Self-Attention for Classifying Satellite Image Time SeriesCode1
Proximity Forest: An effective and scalable distance-based classifier for time seriesCode1
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing ApplicationsCode1
HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space ModelCode1
Integrating Earth Observation Data into Causal Inference: Challenges and OpportunitiesCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Geo-Tiles for Semantic Segmentation of Earth Observation ImageryCode1
Hephaestus: A large scale multitask dataset towards InSAR understandingCode1
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
Generate Your Own Scotland: Satellite Image Generation Conditioned on MapsCode1
A Remote Sensing Image Change Detection Method Integrating Layer Exchange and Channel-Spatial DifferencesCode1
GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation ModelsCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science ImagesCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
Fusing VHR Post-disaster Aerial Imagery and LiDAR Data for Roof Classification in the CaribbeanCode1
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K ResolutionCode1
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial ImagesCode1
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
Fuzzy clustering for the within-season estimation of cotton phenologyCode1
AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target DetectionCode1
ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation ModelsCode1
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial LocalizationCode1
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
Cloud Removal in Satellite Images Using Spatiotemporal Generative NetworksCode1
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusionCode1
High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation DataCode1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
EarthPT: a time series foundation model for Earth ObservationCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
Local Window Attention Transformer for Polarimetric SAR Image ClassificationCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
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