Classification of spectropolarimetric imagery based on fuzzy cluster and evidence theory

Dao Rong Wang, Yong Qiang Zhao, Quan Pan

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

An unsupervised classifying algorithm is proposed using spectropolarimetric information. The algorithm can be described as follow: first, three parameters are clustered by fuzzy C-mean clustering (FCM), which include the intensity of radiation, the degree of linear polarization and the phrase of linear polarization. Second, basic belief assignment functions are constructed based on the cluster result and polarize characters of object's surface. Finally, a fusion algorithm is implemented using weighted distribution method. The results of experiment verify the effectiveness of the algorithm.

源语言英语
页(从-至)2365-2370
页数6
期刊Guangzi Xuebao/Acta Photonica Sinica
36
12
出版状态已出版 - 12月 2007

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