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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 351–400 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
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
On-Board Federated Learning for Dense LEO Constellations—0
Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends—0
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model—0
On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation—0
On the semantics of big Earth observation data for land classification—0
On the usability of deep networks for object-based image analysis—0
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?—0
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing—0
Optimal Dynamic Multi-Resource Management in Earth Observation Oriented Space Information Networks—0
ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring—0
Over-the-Air Federated Learning in Satellite systems—0
Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal—0
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning—0
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection—0
Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks—0
Pest presence prediction using interpretable machine learning—0
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions—0
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction—0
Towards LLM Agents for Earth Observation—0
Physics-Aware Gaussian Processes in Remote Sensing—0
Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation—0
Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach—0
Portraying the Need for Temporal Data in Flood Detection via Sentinel-1—0
Poverty rate prediction using multi-modal survey and earth observation data—0
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