| 基于权重与混合模型的遥感图像分类方法研究 |
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| 引用本文： | 何海清,李发斌,李何超,王勇.基于权重与混合模型的遥感图像分类方法研究[J].国土资源遥感,2008(2):18-21. |
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| 作者姓名： | 何海清 李发斌 李何超 王勇 |
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| 作者单位： | 1. 中国科学院研究生院,北京,100049;中国科学院成都山地灾害与环境研究所,成都,610041
2. 四川省国土勘测规划研究院,成都,610031 |
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| 摘 要： | 提出了一种基于权重与混合像元模型的遥感图像分类方法。该方法在现有光谱混合模型的基础上,根据实际应用需要确定地类权重,通过地类丰度与权重因子加权平均确定像元的隶属类型,从而实现遥感图像分类。以SPOT-5土地覆盖遥感分类为例,对权重与混合像元模型结合的图像分类方法进行了验证,结果表明,该方法提高了遥感图像分类精度,在一定条件下更具实际意义。
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| 关 键 词： | 混合像元 权重 遥感图像分类 丰度 |
| 文章编号： | 1001-070X(2008)02-0018-04 |
| 修稿时间： | 2007年11月1日 |
A METHOD FOR REMOTE SENSING IMAGE CLASSIFICATION BASED ON WEIGHT AND MIXED-PIXEL MODELS |
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| HE Hai-qing,LI Fa-bin,LI He-chao,WANG Yong.A METHOD FOR REMOTE SENSING IMAGE CLASSIFICATION BASED ON WEIGHT AND MIXED-PIXEL MODELS[J].Remote Sensing for Land & Resources,2008(2):18-21. |
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| Authors: | HE Hai-qing LI Fa-bin LI He-chao WANG Yong |
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| Abstract: | A method for remote sensing image classification based on weight and mixed-pixel models is proposed in this paper.Combined with the available spectral mixed-pixel models,this method classifies the pixels by weighting and averaging with the abundances and weight factors of the categories according to practical application.To verify its feasibility,the authors carried out the classification of land cover with SPOT-5 data.The results show that the method can improve the accuracy of remote sensing image classification and even has higher application value under certain conditions. |
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| Keywords: | Mixed-pixel Weight Remote sensing image classification Abundance |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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