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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 251–275 of 518 papers

TitleStatusHype
Learning a Cross-modality Anomaly Detector for Remote Sensing ImageryCode1
Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type MonitoringCode2
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science ImagesCode1
Fewshot learning on global multimodal embeddings for earth observation tasks—0
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion ModelsCode0
EarthPT: a time series foundation model for Earth ObservationCode1
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection—0
SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite ImagesCode1
Generate Your Own Scotland: Satellite Image Generation Conditioned on MapsCode1
MS-Net: A Multi-modal Self-supervised Network for Fine-Grained Classification of Aircraft in SAR Images—0
SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images—0
An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 SatelliteCode0
Multi-Task Hypergraphs for Semi-supervised Learning using Earth ObservationsCode0
A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery—0
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images—0
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion ModelsCode1
Fusing VHR Post-disaster Aerial Imagery and LiDAR Data for Roof Classification in the CaribbeanCode1
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing—0
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric SpaceCode0
Poverty rate prediction using multi-modal survey and earth observation data—0
PreDiff: Precipitation Nowcasting with Latent Diffusion ModelsCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
Understanding the impacts of crop diversification in the context of climate change: a machine learning approach—0
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
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