Poster + Paper
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 +
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.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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KEYWORDS
Remote sensing

Clouds

Computer programming

Image processing

Machine learning

Satellite communications

Satellite imaging

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