Journal of Terahertz Science and Electronic Information Technology , Volume. 18, Issue 5, 802(2020)

SAR image matching based on SIFT algorithm and triangle constraint

XUE Guochao1、*, LIU Longlong2, and GAO Chao3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(5)

    [7] [7] WANG S,YOU H,FU K. BFSIFT:a novel method to find feature matches for SAR image registration[J]. IEEE Geoscience and Remote Sensing Letters, 2012,9(4):649-653.

    [8] [8] LOWE D G. Object recognition from local scale-invariant features[C]// IEEE International Conference on Computer Vision. Corfu,Greece:IEEE, 1999:1150-1157.

    [9] [9] LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2):91-110.

    [10] [10] LOWE D G. Local feature view clustering for 3D object recognition[C]// IEEE Computer Society Conference on Computer Vision & Pattern Recognition. Kauai,Hawaii:IEEE, 2001:682-688.

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    XUE Guochao, LIU Longlong, GAO Chao. SAR image matching based on SIFT algorithm and triangle constraint[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(5): 802

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    Paper Information

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    Received: Mar. 20, 2019

    Accepted: --

    Published Online: Jan. 22, 2021

    The Author Email: XUE Guochao (xgc7177@163.com)

    DOI:10.11805/tkyda2019073

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