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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 51–75 of 518 papers

TitleStatusHype
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language ModelsCode1
Attentive Contextual Attention for Cloud RemovalCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
COSMIC: Compress Satellite Images Efficiently via Diffusion CompensationCode1
SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised PretrainingCode1
HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space ModelCode1
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral DataCode1
A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of PovertyCode1
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation PretrainingCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image MatchingCode1
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial ImagesCode1
A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation ImageryCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image SegmentationCode1
ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation ModelsCode1
Globally Scalable Glacier Mapping by Deep Learning Matches Expert Delineation AccuracyCode1
Uncertainty quantification for probabilistic machine learning in earth observation using conformal predictionCode1
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkCode1
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping ParametersCode1
Q-Seg: Quantum Annealing-Based Unsupervised Image SegmentationCode1
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial LocalizationCode1
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing ImagesCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
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