基于ICA的遥感图像的色彩分类方法 |
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引用本文: | 赵蔷,刘淑英,李红.基于ICA的遥感图像的色彩分类方法[J].航空计算技术,2013(6):5-8. |
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作者姓名: | 赵蔷 刘淑英 李红 |
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作者单位: | 咸阳师范学院信息工程学院,陕西咸阳712000 |
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基金项目: | 陕西省教育厅专项科研计划项目(09JK811),咸阳师范学院专项科研基金资助项目(11XSYK329) |
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摘 要: | 根据独立成分分析(ICA)方法和多频谱卫星遥感图像的特点,提出了一种基于ICA的遥感图像色彩分类法。方法使用FastICA算法提取遥感图像的色彩独立成分,是RGB反转的结合,具有互补的分布,不受照明的影响。使用最大相似度分类算法对像素进行色彩分类,实验结果表明,方法的色彩分类效果较好,对多频谱遥感图像进行色彩分类十分有效。
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关 键 词: | 独立成分分析 遥感图像 分类 |
Classification of Remote Sensing Image Based on Independent Components Analysis |
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Institution: | ZHAO Qiang, LIU Shu-ying, LI I-Iong ( College of Information Engineering, Xianyang Normal University,Xianyang 712000, China) |
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Abstract: | This article propose a classification algorithm for satellite remote sensing images based on Inde- pendent Components Analysis(ICA). The algorithm combines the advantage of ICA and muhispectral re- motely sensed images. The algorithm extracts the spectral independent components of multispectral re- , motely sensed images by Fast ICA algorithm. It is the combine of reversion about R, G and B, has comple- mentary distribution and is unacted on illumination. Maximum Likelihood is used to classify the pixels. Experimental results demonstrate that the algorithm is an effective improve method to classify the multi- spectral remotely sensed images. |
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Keywords: | independent components analysis sensing image classification |
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