SOTAVerified

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 451–475 of 518 papers

TitleStatusHype
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
Object Detection performance variation on compressed satellite image datasets with iquaflowCode0
Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community ChallengeCode0
CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image SegmentationCode0
M3Fusion: A Deep Learning Architecture for Multi-Scale/Modal/Temporal satellite data fusionCode0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++Code0
End-to-end learning of energy-based representations for irregularly-sampled signals and imagesCode0
Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering AlgorithmCode0
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic SegmentationCode0
Compressed learning based onboard semantic compression for remote sensing platformsCode0
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
Neural Embedding Compression For Efficient Multi-Task Earth Observation ModellingCode0
On the Generalizability of Foundation Models for Crop Type MappingCode0
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer LearningCode0
Measuring economic activity from space: a case study using flying airplanes and COVID-19Code0
Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildingsCode0
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding ApproachCode0
SpecSAR-Former: A Lightweight Transformer-based Network for Global LULC Mapping Using Integrated Sentinel-1 and Sentinel-2Code0
SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space ModelsCode0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning ApproachesCode0
Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentationCode0
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