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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 301–325 of 518 papers

TitleStatusHype
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
Practical IMT and EESS Spectrum Sharing in the 7 to 8 GHz Band—0
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