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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 151–200 of 518 papers

TitleStatusHype
Advances in Fine Line-Of-Sight Control for Large Space Flexible Structures—0
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production—0
Better, Not Just More: Data-Centric Machine Learning for Earth Observation—0
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features—0
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images—0
Data Augmentation in Earth Observation: A Diffusion Model Approach—0
A metrological framework for uncertainty evaluation in machine learning classification models—0
Cross-sensor self-supervised training and alignment for remote sensing—0
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions—0
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images—0
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems—0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning—0
Multitask Learning for Large-scale Semantic Change Detection—0
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation—0
A Latent Space Metric for Enhancing Prediction Confidence in Earth Observation Data—0
Covariance Symmetries Classification in Multitemporal/Multipass PolSAR Images—0
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars—0
Advancements in Image Resolution: Super-Resolution Algorithm for Enhanced EOS-06 OCM-3 Data—0
Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space—0
Assimilation of SWOT Altimetry Data for Riverine Flood Reanalysis: From Synthetic to Real Data—0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision—0
Assimilation of SWOT Altimetry and Sentinel-1 Flood Extent Observations for Flood Reanalysis -- A Proof-of-Concept—0
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models—0
Confidence Estimation in Unsupervised Deep Change Vector Analysis—0
Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning—0
Supervised domain adaptation for building extraction from off-nadir aerial images—0
FlexiMo: A Flexible Remote Sensing Foundation Model—0
Compressive Hyperspectral Imaging Using Progressive Total Variation—0
FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping—0
Advancements in Data Processing and Calibration for the Hyperspectral Imaging Satellite (HySIS)—0
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning—0
First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems—0
Fewshot learning on global multimodal embeddings for earth observation tasks—0
A Self-Supervised Framework for Space Object Behaviour Characterisation—0
Feature Spectrum Learning for Remote Sensing Change Detection—0
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection—0
Adaptive and Robust Image Processing on CubeSats—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation—0
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks—0
AI-based evaluation of the SDGs: The case of crop detection with earth observation data—0
A clustering approach to heterogeneous change detection—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Context-Aware Change Detection With Semi-Supervised Learning—0
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization—0
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping—0
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward—0
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