遥感影像边缘增强的L_2向量空间范数算法

¹ 中国科学院遥感应用研究所遥感科学国家重点实验室,北京市大屯路9718信箱,100101;² 北京师范大学地理学与遥感科学学院遥感与GIS研究中心,北京市新街口外大街19号,100875

基金项目: 国家自然科学基金资助项目(40571100)

详细信息

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

¹ State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy of Sciences,P.O.Box 9718,Datun Road,Beijing;100101,China ² School of Geography and Remote Sensing,Beijing Normal University,19 Xinjiekou Road,Beijing 100875,China

Funds: 国家自然科学基金资助项目(40571100)

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。
- 影像边缘增强 /
- Householder-Norm变换 /
- L2向量空间
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.
- image edge enhancement /
- Householder-Norm transformation /
- L_2 vector space