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.
陈婷, 汪爱华, 王智勇. 基于过渡区特征的全色遥感图像冰雪识别[J]. 国土资源遥感, 2013, 25(2): 27-32.
CHEN Ting, WANG Aihua, WANG Zhiyong. Recognition of ice or snow for panchromatic remote sensing image based on transition region feature. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 27-32.
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2013, Vol. 25 
