Electronics Optics & Control, Volume. 24, Issue 1, 41(2017)

A Feature Point Extraction Approach of SAR Image Based on Facet Model

HUANG Peng-jie1... WANG Hong-li1, ZHAO Ai-gang1,2, LU Jing-hui1 and JIANG Wei1 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    For the feature point matching of SAR images used in navigation system, a feature point extraction approach is proposed based on Facet model.Firstly, the image intensity surface is well fitted through the Facet model.Then the second-order directional derivative of the center point of the fitting surface is calculated out, and the point whose second-order directional derivative is less than zero is taken as the potential feature point.Through normalization of absolute values for maximum values of the potential feature points and local non-maxima suppression, the feature points are obtained.Experimental results show that the proposed algorithm can successfully detect the feature point, and the real-time performance of the algorithm is better than that of the traditional SIFT algorithm.

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    HUANG Peng-jie, WANG Hong-li, ZHAO Ai-gang, LU Jing-hui, JIANG Wei. A Feature Point Extraction Approach of SAR Image Based on Facet Model[J]. Electronics Optics & Control, 2017, 24(1): 41

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    Paper Information

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    Received: Jan. 12, 2016

    Accepted: --

    Published Online: Feb. 9, 2017

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2017.01.010

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