| 一种基于目标散射鉴别的POLSAR图像地物无监督分类新方法 |
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| 引用本文： | 陈强,蒋咏梅,陆军,匡纲要. 一种基于目标散射鉴别的POLSAR图像地物无监督分类新方法[J]. 电子学报, 2011, 39(3): 613-618 |
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| 作者姓名： | 陈强 蒋咏梅 陆军 匡纲要 |
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| 作者单位： | 国防科技大学电子科学与工程学院; |
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| 摘 要： | 提出了一种基于目标散射鉴别的POLSAR图像地物无监督分类新方法.该方法首先利用极化散射熵将POLSAR图像地物粗分为高散射随机性、中散射随机性和低散射随机性三种情形;然后提取球面散射、偶次散射和体散射相似性参数将上述三种情形细分为十种;在上述散射分类的基础上,采用新定义的两类目标极化差异度量对地物进行类别迭代调整.由...
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| 关 键 词： | 散射相似性 无监督地物分类 差异度量 |
| 收稿时间： | 2009-12-05 |
A New Scattering-Identification Based Unsupervised Terrain Classification for POLSAR Image |
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| CHEN Qiang,JIANG Yong-mei,LU Jun,KUANG Gang-yao. A New Scattering-Identification Based Unsupervised Terrain Classification for POLSAR Image[J]. Acta Electronica Sinica, 2011, 39(3): 613-618 |
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| Authors: | CHEN Qiang JIANG Yong-mei LU Jun KUANG Gang-yao |
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| Affiliation: | CHEN Qiang,JIANG Yong-mei,LU Jun,KUANG Gang-yao (School of Electronic Science and Engineering,National University of Defense Technology,Changsha,Hunan 410073,China) |
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| Abstract: | a method for unsupervised terrain classification of POLSAR imagery is proposed.At first,the polarimetric entropy is utilized to divide terrain scattering into three cases,i.e.high entropy,medium entropy and low entropy.Then surface scattering,double scattering and volume scattering similarities are computed for initially classifying POLSAR image into ten classes.Finally,the initial classification map defined training sets for reclassification based on a new defined parameter to measure the deference degree ... |
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| Keywords: | scattering similarity unsupervised terrain classification deference degree |
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