利用改进三分量分解与Wishart分类的极化SAR图像建筑提取

doi:10.11947/j.AGCS.2015.20130535

测绘学报 ›› 2015, Vol. 44 ›› Issue (2): 206-213.doi: 10.11947/j.AGCS.2015.20130535

利用改进三分量分解与Wishart分类的极化SAR图像建筑提取

刘修国, 姜萍, 陈启浩, 陈奇

中国地质大学(武汉)信息工程学院, 湖北武汉 430074

收稿日期:2013-12-09 修回日期:2014-06-18 出版日期:2015-02-20 发布日期:2015-02-14
通讯作者: 陈启浩E-mail:cugcqh@163.com E-mail:cugcqh@163.com
作者简介:刘修国(1969—),男,博士,教授,研究方向为遥感图像信息提取与3S集成。E-mail:liuxg318@163.com
基金资助:
国家自然科学基金(41301477; 41471355);中国博士后科学基金(2012M521497);武汉市学科带头人计划项目(201271130443)

Buildings Extraction from Polarimetric SAR Image Using Improved Three-component Decomposition and Wishart Classification

LIU Xiuguo, JIANG Ping, CHEN Qihao, CHEN Qi

College of Information Engineering, China University of Geosciences, Wuhan 430074, China

Received:2013-12-09 Revised:2014-06-18 Online:2015-02-20 Published:2015-02-14
Supported by:
The National Natural Science Foundation of China (Nos. 41301477;41471355);China Postdoctoral Science Foundation(No. 2012M521497);Wuhan Academic Leaders Plan Funded Projects (No. 201271130443)

摘要/Abstract

摘要：

本文针对基于Freeman分解的建筑提取方法存在的问题, 提出采用圆极化相关系数实现选择性去取向, 同时引入广义体散射模型, 构建面向建筑提取的改进三分量分解模型, 以准确分析地物的散射特性。在此基础上, 发展了一种综合利用改进三分量分解与Wishart迭代分类算法的极化SAR图像建筑提取方法。使用E-SAR全极化数据的试验结果表明, 本文方法能够有效减少建筑与植被的误分, 并提高建筑信息提取的准确性。

关键词: 极化SAR, 建筑提取, 三分量分解, 选择性去取向, 体散射模型

Abstract:

To address the misclassification issue on buildings extraction based on Freeman decomposition method, a novel improved three-component decomposition model is proposed in this paper. By combining the selective de-orientation derived from the circular polarization correlation coefficient method with the generalized volume scattering model, it can accurately characterize the scattering characteristics of surface features. On this basis, the complex Wishart iterative classification is introduced to develop a new method of buildings extraction. An E-SAR L band polarimetric SAR image was used to verify the effectiveness of this modified algorithm. The experiment result shows it could perform better in distinguishing between oblique buildings and forest, and consequently improve the accuracy of buildings extraction.

Key words: polarimetric SAR, buildings extraction, three-component decomposition, selective de-orientation, volume scattering model

中图分类号:

P234

刘修国, 姜萍, 陈启浩, 陈奇. 利用改进三分量分解与Wishart分类的极化SAR图像建筑提取[J]. 测绘学报, 2015, 44(2): 206-213.

LIU Xiuguo, JIANG Ping, CHEN Qihao, CHEN Qi. Buildings Extraction from Polarimetric SAR Image Using Improved Three-component Decomposition and Wishart Classification[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(2): 206-213.

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利用改进三分量分解与Wishart分类的极化SAR图像建筑提取

Buildings Extraction from Polarimetric SAR Image Using Improved Three-component Decomposition and Wishart Classification

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