A cloud detection and removal method based on feature judgment in downward-looking infrared images
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.
Infrared remote sensing Cloud detection Feature extraction Image segmentation
Zhijun LI Songlin LIU Weihua WANG Zengping CHEN
ATR Key Lab, National Univ. of Defense Technology, Changsha, China 410073
国际会议
桂林
英文
1-8
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）