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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–475 of 518 papers

TitleStatusHype
Living in the Physics and Machine Learning Interplay for Earth Observation—0
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection—0
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study—0
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping—0
Deep Neural Networks for automatic extraction of features in time series satellite images—0
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources—0
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing—0
A Perspective on Gaussian Processes for Earth Observation—0
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite ImageryCode0
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation—0
A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification—0
SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework—0
Simulated annealing based heuristic for multiple agile satellites scheduling under cloud coverage uncertainty—0
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions—0
Edge Preserving CNN SAR Despeckling Algorithm—0
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks—0
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging—0
Improving land cover segmentation across satellites using domain adaptationCode0
Schedule Earth Observation satellites with Deep Reinforcement Learning—0
Self-attention for raw optical Satellite Time Series ClassificationCode0
Machine Learning for Generalizable Prediction of Flood Susceptibility—0
Spacecraft design optimisation for demise and survivability—0
End-to-end learning of energy-based representations for irregularly-sampled signals and imagesCode0
Show:102550
← PrevPage 19 of 21Next →

No leaderboard results yet.