Cloud automatic detection in high-resolution satellite images based on morphological features

Xiang Liu; Jun Ping Shen; Yajun Huang

doi:10.1117/12.2557221

3 January 2020 Cloud automatic detection in high-resolution satellite images based on morphological features

Xiang Liu, Jun Ping Shen, Yajun Huang

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113730M (2020) https://doi.org/10.1117/12.2557221
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

Cloud cover is one of the main factors affecting the quality of remote sensing images, and cloud detection is the first problem to be solved in remote sensing data production. Therefore, cloud judgment becomes one of the primary tasks and key technologies of remote sensing image processing. The main detection objects include thin cloud, thick cloud and cloud shadow. The main interference factors include snow, Gobi, desert, reflective buildings and other highlights. Firstly, the high reflectance characteristics of clouds are used to analyze the distribution of near-infrared and red bands in multispectral remote sensing images to realize preliminary cloud detection. And then using the detected suspected cloud region, different morphological features to distinguish the cloud from other highlight features, and the higher cloud detection accuracy in high-resolution satellite images is achieved.

Citation Download Citation

Xiang Liu, Jun Ping Shen, and Yajun Huang "Cloud automatic detection in high-resolution satellite images based on morphological features", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113730M (3 January 2020); https://doi.org/10.1117/12.2557221

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