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 376–400 of 518 papers

TitleStatusHype
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars—0
TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo—0
Uncertainties of Satellite-based Essential Climate Variables from Deep Learning—0
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation—0
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems—0
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions—0
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites—0
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images—0
Automated National Urban Map Extraction—0
Automatic Census of Mussel Platforms Using Sentinel 2 Images—0
Automatic image annotation : the case of deforestation—0
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+—0
Benchmarking Agility and Reconfigurability in Satellite Systems for Tropical Cyclone Monitoring—0
Uncertainty and Generalizability in Foundation Models for Earth Observation—0
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation—0
Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images—0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation—0
Big Plastic Masses Detection using Sentinel 2 Images—0
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources—0
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation—0
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks—0
CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities—0
On Advances, Challenges and Potentials of Remote Sensing Image Analysis in Marine Debris and Suspected Plastics Monitoring—0
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models—0
CD-GAN: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors—0
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