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Edge Enhancement for Remote Sensing Image Using Norm Algorithm in L2 Vector Space |
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| Authors: | Chen Xue Ma Jianwen |
| Affiliation: | (1) State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, and Beijing Normal University, P.O.Box 9718, Datun Road, Beijing, 100101, China |
| Abstract: | 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. |
| Keywords: | image edge enhancement Householder-norm transformation L2 vector space |
| 本文献已被 CNKI 维普 SpringerLink 等数据库收录！ | |