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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
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
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