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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 201–225 of 518 papers

TitleStatusHype
Assimilation of SWOT Altimetry and Sentinel-1 Flood Extent Observations for Flood Reanalysis -- A Proof-of-Concept—0
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging—0
Assimilation of SWOT Altimetry Data for Riverine Flood Reanalysis: From Synthetic to Real Data—0
Feature Spectrum Learning for Remote Sensing Change Detection—0
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones—0
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection—0
Adaptive and Robust Image Processing on CubeSats—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation—0
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks—0
AI-based evaluation of the SDGs: The case of crop detection with earth observation data—0
A clustering approach to heterogeneous change detection—0
Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets—0
Generative Adversarial Training for Weakly Supervised Cloud Matting—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping—0
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward—0
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots—0
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities—0
Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images—0
Cloud Removal in Remote Sensing Using Sequential-Based Diffusion Models—0
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset—0
Geospatial Foundation Models to Enable Progress on Sustainable Development Goals—0
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
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