| UFCLS线性光谱混合分析法在遥感图像分类识别中的效果分析 |
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| 引用本文： | 罗红霞, 龚健雅. UFCLS线性光谱混合分析法在遥感图像分类识别中的效果分析[J]. 武汉大学学报 ( 信息科学版), 2004, 29(7): 615-618. |
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| 作者姓名： | 罗红霞 龚健雅 |
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| 作者单位： | 1 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;;2 西南师范大学资源与环境科学学院, 重庆市天生路2号, 400715 |
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| 基金项目： | 国家 973计划资助项目 ( 2 0 0 3CB415 2 0 5 ) |
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| 摘 要： | 用非监督全约束最小二乘法对线性光谱混合模型进行了反演,通过获得各像元组分的面积比图像来达到对各像元分类的目的。将非监督全约束最小二乘法的分类结果与有限光谱混合分析法的分类结果进行对比,结果表明,无论从分类效果还是计算时间上看,前者都优于后者。
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| 关 键 词： | 遥感图像分类 线性光谱混合模型 最小二乘 |
| 文章编号： | 1671-8860(2004)07-0615-04 |
| 收稿时间： | 2004-04-08 |
| 修稿时间： | 2004-04-08 |
Effect Analysis of UFCLS Linear Spectral Mixture Analysis Method on Classification of Remote Sensing Images |
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| LUO Hongxia, GONG Jianya. Effect Analysis of UFCLS Linear Spectral Mixture Analysis Method on Classification of Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2004, 29(7): 615-618. |
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| Authors: | LUO Hongxia GONG Jianya |
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| Affiliation: | 1 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China;;2 School of Resource and Environment, Southwest Normal University, 2 Tiansheng Road, Chongqing 400715, China |
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| Abstract: | The abundance fractions of endmembers in an image pixel are estimated by unsupervised fully constrained least squares (UFCLS) based on the inversion of linear spectral mixture method. The results of the experiment show that the effects are good. Compared to CSMA method, UFCLS method is better in both the effects of classification and the consumption of computation time. |
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| Keywords: | classification of remote sensing image linear spectral mixture model least square |
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