陈雪, 马建文. 遥感影像边缘增强的L_2向量空间范数算法[J]. 武汉大学学报 ( 信息科学版), 2006, 31(6): 489-491.
引用本文: 陈雪, 马建文. 遥感影像边缘增强的L_2向量空间范数算法[J]. 武汉大学学报 ( 信息科学版), 2006, 31(6): 489-491.
shu
CHEN Xue, MA Jianwen. Remote Sensing Image Edge Enhancement Using Norm Algorithm in L_2 Vector Space[J]. Geomatics and Information Science of Wuhan University, 2006, 31(6): 489-491.
Citation: CHEN Xue, MA Jianwen. Remote Sensing Image Edge Enhancement Using Norm Algorithm in L_2 Vector Space[J]. Geomatics and Information Science of Wuhan University, 2006, 31(6): 489-491.
shu

遥感影像边缘增强的L_2向量空间范数算法

Remote Sensing Image Edge Enhancement Using Norm Algorithm in L_2 Vector Space

    摘要
  • 摘要: 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。

     

    Abstract: The Householder transformation-norm structure function in L_2 vector space of linear algebra is introduced,and the edge enhancement for remote sensing images is realized.The experiment result was compared with traditional Laplacian and Sobel edge enhancements and showed that the effect of this new method is better than the traditional algorithms.The new algorithm provides a new approach for remote sensing images.

     

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