mlsanityData to 14 Oct 2026

GLF-CR: SAR-Enhanced Cloud Removal with Global-Local Fusion

arXiv 2206.02850 ↗First posted 6 Jun 2022cs.CV eess.IVcited by 24

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Abstract (arXiv)

The challenge of the cloud removal task can be alleviated with the aid of Synthetic Aperture Radar (SAR) images that can penetrate cloud cover. However, the large domain gap between optical and SAR images as well as the severe speckle noise of SAR images may cause significant interference in SAR-based cloud removal, resulting in performance degeneration. In this paper, we propose a novel global-local fusion based cloud removal (GLF-CR) algorithm to leverage the complementary information embedded in SAR images. Exploiting the power of SAR information to promote cloud removal entails two aspects. The first, global fusion, guides the relationship among all local optical windows to maintain the structure of the recovered region consistent with the remaining cloud-free regions. The second, local fusion, transfers complementary information embedded in the SAR image that corresponds to cloudy areas to generate reliable texture details of the missing regions, and uses dynamic filtering to alleviate the performance degradation caused by speckle noise. Extensive evaluation demonstrates that the proposed algorithm can yield high quality cloud-free images and outperform state-of-the-art cloud removal algorithms with a gain about 1.7dB in terms of PSNR on SEN12MS-CR dataset.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). Builds on 24 of its 53 references that are in the map. First posted on arXiv 6 Jun 2022.

Builds on

24 of 53 references.

References · 24

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  12. 2019Spatio-Temporal Filter Adaptive Network for Video Deblurringcited by 106
12 more
  1. 2020JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detectioncited by 79
  2. 2020Learning A Single Network for Scale-Arbitrary Super-Resolutioncited by 66
  3. 2017Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networkscited by 64
  4. 2020Deep Learning Meets SARcited by 60
  5. 2020Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Countingcited by 52
  6. 2021Motion Deblurring with Real Eventscited by 52
  7. 2020Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagerycited by 36
  8. 2021EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction taskcited by 34
  9. 2022SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removalcited by 32
  10. 2020Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Networkcited by 29
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 4; 2024: 4; 2025: 5; 2026: 10.

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  1. 2024Bridging Remote Sensors with Multisensor Geospatial Foundation Modelscited by 46
  2. 2023UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Seriescited by 28
  3. 2023DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Imagescited by 27
  4. 2024IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Imagescited by 13
  5. 2025Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Spacecited by 12
  6. 2023U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Seriescited by 8
  7. 2023Multi-Modal and Multi-Resolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmarkcited by 7
  8. 2024Attentive Contextual Attention for Cloud Removalcited by 5
  9. 2024A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensingcited by 3
  10. 2026Task-Driven Prompt Learning: A Joint Framework for Multi-modal Cloud Removal and Segmentationcited by 3
  11. 2026SOMA-1M: A Large-Scale SAR-Optical Multi-resolution Alignment Dataset for Multi-Task Remote Sensingcited by 3
  12. 2025Multimodal Diffusion Bridge with Attention-Based SAR Fusion for Satellite Image Cloud Removalcited by 2
12 more
  1. 2025Cloud-Aware SAR Fusion for Enhanced Optical Sensing in Space Missionscited by 1
  2. 2025CloudBreaker: Breaking the Cloud Covers of Sentinel-2 Images using Multi-Stage Trained Conditional Flow Matching on Sentinel-1cited by 1
  3. 2026Remote Sensing Image Dehazing: A Systematic Review of Progress, Challenges, and Prospectscited by 1
  4. 2026ATT-CR: Adaptive Triangular Transformer for Cloud Removalcited by 1
  5. 2022MM811 Project Report: Cloud Detection and Removal in Satellite Imagescited by 0
  6. 2025High-Quality Cloud-Free Optical Image Synthesis Using Multi-Temporal SAR and Contaminated Optical Datacited by 0
  7. 2026Lean Learning Beyond Clouds: Efficient Discrepancy-Conditioned Optical-SAR Fusion for Semantic Segmentationcited by 0
  8. 2026Densification and forecasting of Sentinel-2 time series from multimodal SAR and Optical satellite data using deep generative modelscited by 0
  9. 2026Synthetic Aperture Radar Image Change Detection Based on Global Dynamic Context-Aware Networkcited by 0
  10. 2026IB-HFN: Information Bottleneck-Driven SAR-Optical Fusion Network for High-Fidelity Cloud Removalcited by 0
  11. 2026HLS-GPT: A Generative Pretrained Transformer (GPT) for Continental-Scale NASA Harmonized Landsat and Sentinel-2 (HLS) Reflectance Reconstruction Across All Bands on Arbitrary Datescited by 0
  12. 2026To Remove or Not to Remove Clouds: A Comparative Analysis and Fusion of Raw SAR and Synthetic NDWI for Overcast Water Segmentationcited by 0