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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 251–300 of 518 papers

TitleStatusHype
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis—0
Learning Neural Optimal Interpolation Models and Solvers—0
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery—0
Learning Structures in Earth Observation Data with Gaussian Processes—0
Leveraging band diversity for feature selection in EO data—0
Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach—0
Supervised domain adaptation for building extraction from off-nadir aerial images—0
Living in the Physics and Machine Learning Interplay for Earth Observation—0
Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps—0
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf—0
Low-power Ship Detection in Satellite Images Using Neuromorphic Hardware—0
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing—0
Low-Thrust Under-Actuated Satellite Formation Guidance and Control Strategies—0
Machine Learning for Generalizable Prediction of Flood Susceptibility—0
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources—0
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing—0
The Mismeasure of Weather: Using Remotely Sensed Earth Observation Data in Economic Context—0
Mapping Housing Stock Characteristics from Drone Images for Climate Resilience in the Caribbean—0
MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images—0
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping—0
Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review—0
Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning—0
A metrological framework for uncertainty evaluation in machine learning classification models—0
Modeling Dengue Vector Population Using Remotely Sensed Data and Machine Learning—0
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
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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