| 基于光谱变换与融合的IKONOS多光谱影像分类 |
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| 引用本文： | 黄昕,张良培.基于光谱变换与融合的IKONOS多光谱影像分类[J].武汉大学学报(信息科学版),2007,32(6):502-505. |
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| 作者姓名： | 黄昕 张良培 |
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| 作者单位： | 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 |
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| 基金项目： | 国家自然科学基金;国家重点基础研究发展计划(973计划);国家重点实验室基金 |
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| 摘 要： | 利用多种光谱线性变换及其融合的方法,减少波段间的信息冗余,提高光谱特征的可分性,并用实验证明了算法的有效性。
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| 关 键 词： | 光谱变换 高分辨率 独立成分分析 分类 |
| 文章编号： | 1671-8860（2007）06-0502-04 |
| 修稿时间： | 2007-03-12 |
Classification of IKONOS Multispectral Imagery Based on Spectral Transform and Fusion |
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| HUANG Xin,ZHANG Liangpei.Classification of IKONOS Multispectral Imagery Based on Spectral Transform and Fusion[J].Geomatics and Information Science of Wuhan University,2007,32(6):502-505. |
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| Authors: | HUANG Xin ZHANG Liangpei |
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| Institution: | State Key Laboratory of information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China |
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| Abstract: | Multiple linear speitral components extracted by PCA, Fast-ICA and IM-ICA are selected and fused, in order to reduce the information redundancy and improve the spectral feature space. The proposed algorithm is implemented on the IKONOS images and the experimental results show obvious accuracy improvements. |
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| Keywords: | spectral transform high spatial resolution ICA classification |
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