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Proceedings Paper

The enhancement of image based on modulus maxima for GPR targets detection
Author(s): Xiaoli Chen; Mao Tian; Ming Yan; Lu Gan
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Paper Abstract

The WTMM-based descriptors, unlike global contour descriptors such as the Fourier descriptors, provide precise local sharp information. This paper introduces an algorithm of image enhancement based on modulus maxima for ground-penetrating radar (GPR) targets detection. By tracking the wavelet transform local maxima at fine scales, singularities can be detected, and the important information of image is also selected. According to the singularities of GPR A-scan signal and the characteristic of GPR signal, GPR image can be commendably given prominence to the targets. Finally, the enhancement of image based on modulus maxima was successfully realized.

Paper Details

Date Published: 3 November 2005
PDF: 6 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604302 (3 November 2005); doi: 10.1117/12.652358
Show Author Affiliations
Xiaoli Chen, Wuhan Univ. (China)
Mao Tian, Wuhan Univ. (China)
Ming Yan, Wuhan Univ. (China)
Lu Gan, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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