| 基于改进独立分量分析的湿地变化检测方法 |
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| 引用本文： | 李芳芳,肖本林,张谦. 基于改进独立分量分析的湿地变化检测方法[J]. 计算机应用, 2010, 30(5): 1347-1350 |
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| 作者姓名： | 李芳芳 肖本林 张谦 |
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| 作者单位： | 1. 国防科技大学C4ISR技术国防科技重点实验室2. 中南大学 信息物理工程学院;湖北工业大学 土木工程与建筑学院3. 武汉大学 遥感信息工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(60903225);;湖北省自然科学基金资助项目(2008CDB388) |
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| 摘 要： | 以湖北省洪湖湿地为研究区，采用2000年7月27日和2002年7月9日ETM+多光谱影像作为遥感信息源，提出了一种基于改进独立分量分析（ICA）的湿地变化检测方法。首先对传统ICA从初始值选取和迭代过程两方面加以了改进。然后对原始多波段影像进行缨帽变换，提取前后时相的湿度分量作为输入的混合影像，进行改进ICA变换。最后在变换得到的独立分量基础上，对代表变化区域的独立分量进行自适应阈值分割，得到湿地变化检测结果。实验表明，改进ICA法检测精度较传统ICA法及分类后比较法有所提高。
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| 关 键 词： | 湿地 缨帽变换 独立分量分析 变化检测 |
| 收稿时间： | 2009-11-18 |
| 修稿时间： | 2010-01-08 |
New wetland change detection method based on improved independent component analysis |
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| LI Fang-fang,XIAO Ben-lin,ZHANG Qian. New wetland change detection method based on improved independent component analysis[J]. Journal of Computer Applications, 2010, 30(5): 1347-1350 |
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| Authors: | LI Fang-fang XIAO Ben-lin ZHANG Qian |
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| Affiliation: | 1.C4ISR Technology National Defense Science and Technology Key Laboratory/a>;National University of Defense Technology/a>;Changsha Hunan 410073/a>;China/a>;2.School of Info-physics and Geomatics Engineering/a>;Central South University/a>;Changsha Hunan 410083/a>;3.School of Civil Engineering and Architecture/a>;Hubei University of Technology/a>;Wuhan Hubei 430068/a>;4.School of Remote Sensing and Information Engineering/a>;Wuhan University/a>;Wuhan Hubei 430079/a>;China |
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| Abstract: | Taking Honghu wetland in Hubei province as the study area,and using two ETM+ images acquired on July 27,2002 and July 9,2005 respectively,a new wetland change detection method based on improved Independent Component Analysis (ICA) was poposed.Firstly,the traditional ICA algorithm was improved in two aspects:the initial value determination and iterative process.Secondly,Tasseled cap transformation was taken on original images and their wetland components were extracted for ICA transformation.Finally,based on... |
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| Keywords: | wetland tasseled cap transformation Independent Component Analysis (ICA) change detection |
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