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 276–300 of 518 papers

TitleStatusHype
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
Three multi-objective memtic algorithms for observation scheduling problem of active-imaging AEOS—0
Time Gated Convolutional Neural Networks for Crop Classification—0
Multi-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis—0
Multi-Sensor Deep Learning for Glacier Mapping—0
Multi-spectral Image Panchromatic Sharpening, Outcome and Process Quality Assessment Protocol—0
Multi-strip observation scheduling problem for ac-tive-imaging agile earth observation satellites—0
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders—0
A Latent Space Metric for Enhancing Prediction Confidence in Earth Observation Data—0
Tomographic SAR Reconstruction for Forest Height Estimation—0
Noise-Adaptive Intelligent Programmable Meta-Imager—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
Toward Autonomous Cooperation in Heterogeneous Nanosatellite Constellations Using Dynamic Graph Neural Networks—0
A clustering approach to heterogeneous change detection—0
Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation—0
AI-based evaluation of the SDGs: The case of crop detection with earth observation data—0
On-board Change Detection for Resource-efficient Earth Observation with LEO Satellites—0
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