A fast multi-temporal optical data cloud removal method based on isophote constraint

Abstract. The problem of cloud cover significantly affects the quality and utility of optical satellite imagery, posing challenges for image analysis and interpretation. In response, this research presents a fast and efficient image reconstruction method by exploiting the strength of isophote in linear structure propagation of ground features, providing users with a practical option for cloud removal task. In addition, this research solves the inapplicability problem when the cloud-contaminated regions overlap between different temporal images, and then extends the application to the field of multi-temporal data cloud removal. Through several experiments, the proposed method outperforms other comparative methods for both dual-temporal data reconstruction and multi-temporal data reconstruction task. Furthermore, the method proves to be efficient and robust even with limited auxiliary information. The proposed multi-temporal image reconstruction framework is available at: https://github.com/YuXiaoyu221/ICMIR.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2024-11-07
DOI
https://doi.org/10.5194/isprs-archives-xlviii-3-2024-601-2024
Citations
1
Primary Topic
Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.21

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article

A fast multi-temporal optical data cloud removal method based on isophote constraint

Jiangong Xu, Xiaoyu Yu, Junli Li, Jun Pan
1 citations
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Optical Network Technologies
0.21
article

A fast multi-temporal optical data cloud removal method based on isophote constraint

Jiangong Xu, Xiaoyu Yu, Junli Li, Jun Pan
article en
1 citations

Abstract

Abstract. The problem of cloud cover significantly affects the quality and utility of optical satellite imagery, posing challenges for image analysis and interpretation. In response, this research presents a fast and efficient image reconstruction method by exploiting the strength of isophote in linear structure propagation of ground features, providing users with a practical option for cloud removal task. In addition, this research solves the inapplicability problem when the cloud-contaminated regions overlap between different temporal images, and then extends the application to the field of multi-temporal data cloud removal. Through several experiments, the proposed method outperforms other comparative methods for both dual-temporal data reconstruction and multi-temporal data reconstruction task. Furthermore, the method proves to be efficient and robust even with limited auxiliary information. The proposed multi-temporal image reconstruction framework is available at: https://github.com/YuXiaoyu221/ICMIR.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-3-2024
Chinese Academy of Sciences (CN), Wuhan University (CN), Xinjiang Institute of Ecology and Geography (CN), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 46%
Optical Network Technologies
0.21
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