| Technology and Methodology |
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Algorithm for Removing Thick Clouds in TM Image Based on Spectral and Geometric Information |
| QIN Yan1, DENG Ru-ru1, HE Ying-qing1, CHEN Lei1,2, CHEN Qi-dong1, XIONG Shou-ping1 |
1. School of Geographic Science and Planning, Sun Yat-sen University, Guangzhou 510275, China;
2. South China Sea Marine Engineering and Environment Institute, SOA, Guangzhou 510300, China |
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Abstract A new cloud removal algorithm based on spectral and geometric information is proposed for generating cloud free and cloud-shadow free mosaic image from multi-temporal TM images. At first,single image and multi-temporal images of thick cloud and cloud-shadow multi-spectral detection models are built based on TM spectral characteristics analysis. Secondly, cloud is detected according to spectral characteristics,and then a technique is applied based on coupled geometrical relationship between the cloud and its shadow by using sun azimuth angle, sun elevation angle and statistical distance between cloud and its shadow so as to automatically predict the approximate location of cloud-shadow. After that, erosion filtering and dilation filtering are used sequentially in the cloud and cloud-shadow fraction image to eliminate the small bits and generate the exact zones contaminated by cloud and cloud-shadow. At last, the cloud and cloud-shadow zones of the target image are replaced by the same-location cloud-free zones on reference images whose spectral information is matched with the target image by the linear regression method. The results show that this algorithm is capable of eliminating the cloud influence from TM image significantly. Moreover, it can effectively eliminate the influence of water body and hill shadow on cloud-shadow. This method can therefore support producing cloud removal images in a quick, simple and applicable way.
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| Keywords
urban spatial expansion
CA model
Logistic regression
transition probability matrix
Jinhu coastal area
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Issue Date: 13 November 2012
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2012,
Vol. 24
