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arXiv · 1707.09959

Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"

Chengyue Zhang·Zhiwei Li·Qing Cheng·Xinghua Li·Huanfeng Shen
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Abstract

Remote sensing images often suffer from cloud cover. Cloud removal is required in many applications of remote sensing images. Multitemporal-based methods are popular and effective to cope with thick clouds. This paper contributes to a summarization and experimental comparation of the existing multitemporal-based methods. Furthermore, we propose a spatiotemporal-fusion with poisson-adjustment method to fuse multi-sensor and multi-temporal images for cloud removal. The experimental results show that the proposed method has potential to address the problem of accuracy reduction of cloud removal in multi-temporal images with significant changes.

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Chengyue Zhang, Zhiwei Li, Qing Cheng, Xinghua Li, Huanfeng Shen. 2017-07-25. Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images". https://doi.org/10.1109/igarss.2017.8127522

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