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遥感影像边缘增强的L_2向量空间范数算法
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作者 陈雪 马建文 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2006年第6期489-491,共3页
采用线性代数L2向量空间Householder变换-Norm(范数)构造函数,实现了遥感影像的边缘增强。影像实验结果与传统的Laplacian和Sobel边缘增强进行比较表明,本算法的边缘增强效果要优于Laplacian和Sobel边缘增强,为遥感影像的边缘增强提供... 采用线性代数L2向量空间Householder变换-Norm(范数)构造函数,实现了遥感影像的边缘增强。影像实验结果与传统的Laplacian和Sobel边缘增强进行比较表明,本算法的边缘增强效果要优于Laplacian和Sobel边缘增强,为遥感影像的边缘增强提供了一种新的手段。 展开更多
关键词 影像边缘增强 Householder-Norm变换 l2向量空间
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Edge Enhancement for Remote Sensing Image Using Norm Algorithm in L_2 Vector Space 被引量:1
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作者 CHEN Xue MAJianwen 《Geo-Spatial Information Science》 2007年第2期121-123,共3页
The Householder transformation-norm structure function in L2 vector space of linear algebra is introduced, and the edge enhancement for remote sensing images is realized. The experiment result is compared with traditi... The Householder transformation-norm structure function in L2 vector space of linear algebra is introduced, and the edge enhancement for remote sensing images is realized. The experiment result is compared with traditional Laplacian and Sobel edge enhancements and it shows that the effect of the new method is better than that of the traditional algorithms. 展开更多
关键词 image edge enhancement Householder-norm transformation l2 vector space
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