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    王博

    • 副教授 博士生导师
    • 招生学科专业:
      光学工程 -- 【招收硕士研究生】 -- 航天学院
      航空宇航科学与技术 -- 【招收博士、硕士研究生】 -- 航天学院
      电子信息 -- 【招收硕士研究生】 -- 航天学院
      机械 -- 【招收博士、硕士研究生】 -- 航天学院
    • 性别:男
    • 学历:武汉大学
    • 学位:工学博士学位
    • 所在单位:航天学院
    • 办公地点:将军路校区D011-A425
    • 电子邮箱:

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    Automatic Matching of Multi-Source Satellite Images: A Case Study on ZY-1-02C and ETM+

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    所属单位:航天学院

    发表刊物:APPLIED SCIENCES-BASEL

    关键字:image matching ZY-1-02C ETM positioning precision

    摘要:The ever-growing number of applications for satellites is being compromised by their poor direct positioning precision. Existing orthoimages, such as enhanced thematic mapper (ETM+) orthoimages, can provide georeferences or improve the geo-referencing accuracy of satellite images, such ZY-1-02C images that have unsatisfactory positioning precision, thus enhancing their processing efficiency and application. In this paper, a feasible image matching approach using multi-source satellite images is proposed on the basis of an experiment carried out with ZY-1-02C Level 1 images and ETM+ orthoimages. The proposed approach overcame differences in rotation angle, scale, and translation between images. The rotation and scale variances were evaluated on the basis of rational polynomial coefficients. The translation vectors were generated after blocking the overall phase correlation. Then, normalized cross-correlation and least-squares matching were applied for matching. Finally, the gross errors of the corresponding points were eliminated by local statistic vectors in a TIN structure. Experimental results showed a matching precision of less than two pixels (root-mean-square error), and comparison results indicated that the proposed method outperforms Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Affine-Scale Invariant Feature Transform (A-SIFT) in terms of reliability and efficiency.

    ISSN号:2076-3417

    是否译文:

    发表时间:2017-10-01

    合写作者:Peng, Jiefei,Wu, Xiaojie,Bao, Jianwei

    通讯作者:王博