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 151–175 of 518 papers

TitleStatusHype
CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image SegmentationCode0
On the Generalizability of Foundation Models for Crop Type MappingCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite ImageryCode0
Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing ImageryCode0
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar dataCode0
Object Detection performance variation on compressed satellite image datasets with iquaflowCode0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
Neural Embedding Compression For Efficient Multi-Task Earth Observation ModellingCode0
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning PerspectivesCode0
Compressed learning based onboard semantic compression for remote sensing platformsCode0
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural NetworksCode0
Multi-Task Hypergraphs for Semi-supervised Learning using Earth ObservationsCode0
MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation TasksCode0
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer LearningCode0
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerCode0
Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative StudyCode0
M3Fusion: A Deep Learning Architecture for Multi-Scale/Modal/Temporal satellite data fusionCode0
Measuring economic activity from space: a case study using flying airplanes and COVID-19Code0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
Interactive Visualization and Representation Analysis Applied to Glacier SegmentationCode0
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic SegmentationCode0
End-to-end learning of energy-based representations for irregularly-sampled signals and imagesCode0
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++Code0
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