| ICA变化检测的新方法 |
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| 引用本文： | 曹乐松,班守峰,林克正.ICA变化检测的新方法[J].黑龙江科技学院学报,2007,17(4):302-304. |
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| 作者姓名： | 曹乐松 班守峰 林克正 |
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| 作者单位： | 1. 哈尔滨理工大学,招生就业处
2. 哈尔滨理工大学,计算机科学与技术学院,哈尔滨,150080 |
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| 摘 要： | 基于ICA变化检测方法的原理,利用小波变换实现图像块分割的优化,发挥小波变换的正交性和很好的方向性特征,提出了一种基于独立成分分析的变化检测方法.利用这种方法与ICA方法测得的图像扭曲度、平均梯度、图像质量因数方面相比都要好,实验结果证明了文中算法的可行性和优势.
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| 关 键 词： | 独立成分分析 变化检测 小波变换 遥感图像 变化检测 检测方法 independent component analysis based 优势 算法 结果 实验 因数 图像质量 平均梯度 扭曲度 独立成分分析 特征 方向 正交性 优化 图像块分割 小波变换 利用 |
| 文章编号： | 1671-0118（2007）04-0302-03 |
| 修稿时间： | 2007-06-02 |
Change detection based on independent component analysis |
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| CAO Lesong,BAN Shoufeng,LIN Kezheng.Change detection based on independent component analysis[J].Journal of Heilongjiang Institute of Science and Technology,2007,17(4):302-304. |
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| Authors: | CAO Lesong BAN Shoufeng LIN Kezheng |
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| Abstract: | Change detection is one of pivotal technologies for the application of remote sensing image, there are many methods to research change detection technology, have advantages and disadvantages. On the basis of analysis for ICA principle and change detection principle in this paper, a method is presented to ICA change detection based on the wavelet transform, and we carry on the precise analysis and evaluation by the correlation material, the resuhs proved that this method can detect effectively change areas and the advantages of this method significantly. |
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| Keywords: | independent component analysis change detection wavelet transform remote sensing image |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
