A new matching algorithm is proposed by fusing the histogram of oriented gradients’ and the Zernike moments’ descriptors extracted from the real-time synthetic aperture radar (SAR) images and the real-time elevation maps (REMs), respectively. Both the SAR images and the REMs are acquired by an on-board interferometric SAR simultaneously. The two reciprocal descriptors are fused by weighting their Canberra distances. The numerical experiments demonstrate the advantage of the proposed matching algorithm preliminarily.


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    Title :

    Terrain Matching by Fusing HOG With Zernike Moments


    Contributors:
    Wang, Kedong (author) / Wang, Han (author) / Wang, Jinling (author)


    Publication date :

    2020-04-01


    Size :

    4525256 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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