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Edge enhancement for remote sensing image using norm algorithm in L 2 vector space

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Geo-spatial Information Science

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 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.

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Authors and Affiliations

  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

    Chen Xue

Authors
  1. Chen Xue
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  2. Ma Jianwen
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Additional information

Funded by the National Natural Science Foundation of China(No.40571100).

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Chen, X., Ma, J. Edge enhancement for remote sensing image using norm algorithm in L 2 vector space. Geo-spat. Inf. Sc. 10, 121–123 (2007). https://doi.org/10.1007/s11806-007-0031-2

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  • DOI: https://doi.org/10.1007/s11806-007-0031-2

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