A block-based method for the remote sensing images cloud detection and removal

V. Voronin; N. Gapon; E. Semenishchev; A. Zelensky; S. Agaian

doi:10.1117/12.2588691

12 April 2021 A block-based method for the remote sensing images cloud detection and removal

V. Voronin, N. Gapon, E. Semenishchev, A. Zelensky, S. Agaian

Author Affiliations +

Proceedings Volume 11734, Multimodal Image Exploitation and Learning 2021; 117340K (2021) https://doi.org/10.1117/12.2588691
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Conference Poster

Abstract

This paper aims to effectively detect and remove clouds on remote sensing (RS) images. The proposed algorithm has a two-stage procedure: (a) an efficient cloud detection algorithm and (b) an efficient inpainting algorithm for image reconstruction. We introduce an inpainting method to recover the images with cloud occlusion from the remote sensing image's surfaces using block-matching. The proposed approach has been evaluated on the remote sensing RGB image dataset with various aerial sceneries. Compared with traditional inpainting methods, both qualitative and quantitative results show that our approach has advantages over state-of-the-art methods.

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V. Voronin, N. Gapon, E. Semenishchev, A. Zelensky, and S. Agaian "A block-based method for the remote sensing images cloud detection and removal", Proc. SPIE 11734, Multimodal Image Exploitation and Learning 2021, 117340K (12 April 2021); https://doi.org/10.1117/12.2588691

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