| 高分辨率遥感影像阴影检测与补偿的主成分分析方法 |
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| 引用本文： | 王玥,王树根.高分辨率遥感影像阴影检测与补偿的主成分分析方法[J].应用科学学报,2010,28(2):136-141. |
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| 作者姓名： | 王玥 王树根 |
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| 作者单位： | 武汉大学遥感信息工程学院，武汉430079 |
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| 摘 要： | 根据高分辨率遥感影像中阴影区的性质，提出一种基于主成分分析的阴影检测和补偿方法. 首先对第1主分量与原始的蓝色分量进行比值运算，采用直方图阈值法分割阴影区和非阴影区，并进行形态学处理，得到较完整的阴影区. 采用膨胀方法确定各独立阴影区中的同质区域，根据阴影同质区特性对阴影区进行线性相关拉伸，并对补偿后的阴影区进行平滑处理和主成分逆变换. 实验结果表明该方法简单有效.
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| 关 键 词： | 遥感 主成分分析 阴影检测 阴影补偿 |
| 收稿时间： | 2010-01-29 |
| 修稿时间： | 2010-03-01 |
Detection and Compensation of Shadows in High Resolution Remote Sensing Images Using PCA |
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| WANG Yue,WANG Shu-gen.Detection and Compensation of Shadows in High Resolution Remote Sensing Images Using PCA[J].Journal of Applied Sciences,2010,28(2):136-141. |
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| Authors: | WANG Yue WANG Shu-gen |
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| Institution: | School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China |
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| Abstract: | From the shadow region properties,a new algorithm of shadow detection and compensation based on principal component analysis(PCA) is proposed for high resolution remote sensing images.The ratio between the original blue band and the first principal component is computed.Shadow and non-shadow regions are segmented using the histogram-thresholding method.A morphological algorithm is used to produce an accurate shadow mask,and a dilation operation is performed to find the surrounding homogeneous region of a sh... |
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| Keywords: | remote sensing principal component analysis shadow detection shadow compensation |
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