Cloud Removal
2개 벤치마크 · 논문 71편 · 이 태스크의 논문 보기 →
Benchmarks
SEN12MS-CR
SEN12MS-CR-TS
Most implemented
Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks
PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery
Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network
A Remote Sensing Image Dataset for Cloud Removal
Image Restoration via Multi-domain Learning
Papers
Interpretation-Oriented Cloud Removal via Observation-Anchored Residual Flow with Geo-Contextual Alignment
Cloud removal (CR) is essential for optical remote sensing, serving as a prerequisite for reliable downstream interpretation, such as semantic segmentation and change detection. However, existing CR approaches often prio…
Semantic SegmentationChange DetectionCloud RemovalIB-HFN: Information Bottleneck-Driven SAR-Optical Fusion Network for High-Fidelity Cloud Removal
Synthetic aperture radar (SAR)-assisted optical cloud removal aims to recover surface information obscured by clouds in optical remote sensing images by exploiting complementary SAR observations. Existing multimodal fusi…
Cloud RemovalATT-CR: Adaptive Triangular Transformer for Cloud Removal
Cloud removal aims to accurately reconstruct the ground objects obscured by clouds in remote sensing images. Existing Transformer-based methods utilizing self-attention have shown impressive results by effectively modeli…
Cloud RemovalDeep Learning for Remote Sensing to Improve Flood Inundation Mapping
Flooding is the most pervasive natural disaster worldwide. Timely and accurate flood inundation mapping are essential for informing disaster risk management. Optical satellite missions provide high-resolution, multispect…
Flood Inundation MappingDecision MakingCloud RemovalAsynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction
Frequent cloud cover severely limits the usability of Sentinel-2 (S2) optical time series for Earth surface monitoring. Sentinel-1 (S1) SAR provides all-weather complementary observations, but practical S1/S2 fusion rema…
Cloud RemovalTask-Guided Prompting for Unified Remote Sensing Image Restoration
Remote sensing image restoration (RSIR) is essential for recovering high-fidelity imagery from degraded observations, enabling accurate downstream analysis. However, most existing methods focus on single degradation type…
Image RestorationShadow RemovalCloud Removal