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Edge Enhancement for Remote Sensing Image Using Norm Algorithm in L_2 Vector Space 被引量:1

Edge Enhancement for Remote Sensing Image Using Norm Algorithm in L_2 Vector Space
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摘要 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. 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.
出处 《Geo-Spatial Information Science》 2007年第2期121-123,共3页 地球空间信息科学学报(英文)
基金 Funded by the National Natural Science Foundation of China(No.40571100).
关键词 image edge enhancement Householder-norm transformation L2 vector space 遥感图象 图象边缘增强 范数算法 L2向量空间
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