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Recognition of ice or snow for panchromatic remote sensing image based on transition region feature |
| CHEN Ting1, WANG Aihua1, WANG Zhiyong1,2 |
1. Beijing Landview Mapping Information Technology Co. Ltd., Beijing 100096, China;
2. Twenty First Century Aerospace Technology Co. Ltd., Beijing 100096, China |
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Abstract In order to accurately identify ice or snow and obtain the range, this paper presents a new recognition method based on transition region feature for high spatial resolution panchromatic remote sensing imagery. Firstly, the high reflection region including snow or ice and cloud was extracted by K-means cluster analysis. Secondly, the transition region was segmented by SUSAN edge detection. Then, the average, variance and thickness were chosen as the transition region feature vectors to differentiate ice or snow pixels as the target boundary. Finally, the snow or ice area was obtained by edge growing and region filling. The "Beijing-1" high spatial resolution panchromatic remote sensing image was selected to identify the ice or snow area by transition region feature, and the recognition precision reached 97.39%. A comparison of the experimental results with those of other methods shows that the accuracy of the transition region feature analysis is obviously improved. The application analysis indicates that the method of ice and snow recognition based on transition region feature can obtain higher precision of results and more details of edges, and can also provide the references for separating the cloud and snow and extracting the snow line.
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| Keywords
vegetation visual characteristics
normalized difference vegetation index(NDVI)
closing operation
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Issue Date: 28 April 2013
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2013,
Vol. 25
