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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 126–150 of 518 papers

TitleStatusHype
Deep learning for satellite image forecasting of vegetation greennessCode1
Ben-ge: Extending BigEarthNet with Geographical and Environmental DataCode1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation ImageryCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial LocalizationCode1
Geo-Tiles for Semantic Segmentation of Earth Observation ImageryCode1
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
Proximity Forest: An effective and scalable distance-based classifier for time seriesCode1
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing ImageryCode1
Disentangling Derivatives, Uncertainty and Error in Gaussian Process ModelsCode1
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
Object Detection performance variation on compressed satellite image datasets with iquaflowCode0
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremesCode0
On the Generalizability of Foundation Models for Crop Type MappingCode0
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric SpaceCode0
MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation TasksCode0
Multi-Task Hypergraphs for Semi-supervised Learning using Earth ObservationsCode0
A Late-Stage Bitemporal Feature Fusion Network for Semantic Change DetectionCode0
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning ApproachCode0
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning ApproachesCode0
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