JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI ›› 2016, Vol. 33 ›› Issue (11): 28-31.DOI: 10.11988/ckyyb.20160820
• REMOTE SENSING TECHNOLOGY AND ITS APPLICATION • Previous Articles Next Articles
WEI Si-qi, ZHANG Yu, YE Song
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Abstract:
Image segmentation by spectral clustering is a clustering method based on points. It is characterized by the use of similarity measure matrixes. We usually need to calculate the similarity matrixes between every two cells, which consumes huge computation task and a lot of time when processing large images. To solve this problem, we propose an improved method. First, we use mean shift algorithm for polarimetric SAR image, and then select center pixel to construct similarity measure matrix. At last, we use the normalized segmentation rule for image segmentation. Computation experiment proves that the algorithm could improve the efficiency with high accuracy and satisfactory result, hence is of practical significance.
Key words: spectral clustering, mean shift, Polarimentric SAR, image segmentation, edge detection
CLC Number:
TP317.4
WEI Si-qi, ZHANG Yu, YE Song. Polarimetric SAR Image Segmentation Algorithmby Spectral Clustering[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2016, 33(11): 28-31.
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URL: http://ckyyb.crsri.cn/EN/10.11988/ckyyb.20160820
http://ckyyb.crsri.cn/EN/Y2016/V33/I11/28