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 451–500 of 518 papers

TitleStatusHype
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite ImageryCode0
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
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
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
Edge Preserving CNN SAR Despeckling Algorithm—0
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks—0
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging—0
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping NetworkCode1
Cloud Removal in Satellite Images Using Spatiotemporal Generative NetworksCode1
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
Generative Adversarial Training for Weakly Supervised Cloud Matting—0
End-to-end learning of energy-based representations for irregularly-sampled signals and imagesCode0
Object Detection in Optical Remote Sensing Images: A Survey and A New BenchmarkCode1
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics—0
Optimal Dynamic Multi-Resource Management in Earth Observation Oriented Space Information Networks—0
Satellite-Net: Automatic Extraction of Land Cover Indicators from Satellite Imagery by Deep Learning—0
AI-based evaluation of the SDGs: The case of crop detection with earth observation data—0
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks—0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images—0
Providentia -- A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation—0
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++Code0
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones—0
Robust Semantic Segmentation By Dense Fusion Network On Blurred VHR Remote Sensing Images—0
First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems—0
Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing ImageryCode0
Multitask Learning for Large-scale Semantic Change Detection—0
Fully Convolutional Siamese Networks for Change DetectionCode0
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural NetworksCode0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
Proximity Forest: An effective and scalable distance-based classifier for time seriesCode1
MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping—0
Modeling Dengue Vector Population Using Remotely Sensed Data and Machine Learning—0
Automatic image annotation : the case of deforestation—0
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery—0
M3Fusion: A Deep Learning Architecture for Multi-Scale/Modal/Temporal satellite data fusionCode0
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders—0
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring—0
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationCode1
Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation—0
Show:102550
← PrevPage 10 of 11Next →

No leaderboard results yet.