A cloud detection and removal method based on feature judgment in downward-looking infrared images

Zhijun Li; Songlin Liu; Weihua Wang; Zengping Chen

doi:10.1117/12.901996

8 December 2011 A cloud detection and removal method based on feature judgment in downward-looking infrared images

Zhijun Li, Songlin Liu, Weihua Wang, Zengping Chen

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030Y (2011) https://doi.org/10.1117/12.901996
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Focusing on downward-looking infrared cloud images, we propose a cloud detection and thin clouds removal algorithm based on the feature judgement. This algorithm determines whether infrared image contains clouds or not by texture feature extraction, segments the suspected cloud regions and determines the cloud region using a voting system based on multi-feature quantitative analysis. Finally, we enhance image and remove the cloud interference using the combination of space and frequency domain. Test results show this algorithm has good practicability and accuracy, which improves the automation and intelligence of remote sensing information processing and application.

Citation Download Citation

Zhijun Li, Songlin Liu, Weihua Wang, and Zengping Chen "A cloud detection and removal method based on feature judgment in downward-looking infrared images", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030Y (8 December 2011); https://doi.org/10.1117/12.901996

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