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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 351–360 of 518 papers

TitleStatusHype
MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping—0
MS-Net: A Multi-modal Self-supervised Network for Fine-Grained Classification of Aircraft in SAR Images—0
Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study—0
MultiEarth 2022 -- The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation—0
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery—0
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation—0
Unsupervised Flood Detection on SAR Time Series—0
Multi-layer Space Information Networks: Access Design and Softwarization—0
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution—0
Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data—0
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