• Spacecraft Recovery & Remote Sensing
  • Vol. 45, Issue 1, 99 (2024)
Bo LI1,2, Hongyan HE1,2, Yu WANG1,2, Yufei DING1,2..., Dou SUN3 and Shixiang CAO1,2|Show fewer author(s)
Author Affiliations
  • 1Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China
  • 2Key Laboratory for Advanced Optical Remote Sensing Technology of Beijing, Beijing 100094, China
  • 3Unit 63768 of the Chinese People’s Liberation Army, Xi’an 710000, Shaanxi, China
  • show less
    DOI: 10.3969/j.issn.1009-8518.2024.00.009 Cite this Article
    Bo LI, Hongyan HE, Yu WANG, Yufei DING, Dou SUN, Shixiang CAO. Feature Point Matching Method for Weakly Textured Spatial Objects[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(1): 99 Copy Citation Text show less
    References

    [2] SHAO F, AN J, LIU Z X. Feature Point Matching Algithm Based on Local Relative Velocity Consensus[C]2021 6th International Conference on Intelligent Computing Signal Processing (ICSP). Piscataway: IEEE, 2021, 1817: 1214.

    [3] R WU, K WANG, J Q MA. Feature Points Matching Algorithm Based on Homography Constraint and Gray Scale Truncation Number. Journal of Physics: Conference Series, 1229, 012049(2019).

    [5] Y F XIA, J JIANG, Y F LU et al. Robust Feature Matching via Progressive Smoothness Consensus. ISPRS Journal of Photogrammetry and Remote Sensing, 196, 502-513(2023).

    [6] D C GONG, X HUANG, J D ZHANG et al. Efficient and Robust Feature Matching for High-Resolution Satellite Stereos. Remote Sensing, 14, 5617(2022).

    [9] LI W X, CHEN Q, GU G H, et al. Feature Point Matching of Infrared Visible Image[J]. Applications of Digital Image Processing XLIII, 2020: 1151029.

    [11] SARLIN P E, DETONE D, MALISIEWICZ T, et al. SuperGlue: Learning Feature Matching with Graph Neural wks[C]2020 IEEECVF Conference on Computer Vision Pattern Recognition (CVPR). [S. l. ]: IEEE, 2020, 49374946.

    [12] Y LIU, K HUANG, J Y LI et al. AdaSG: A Lightweight Feature Point Matching Method Using Adaptive Descriptor with GNN for VSLAM. Sensors, 22, 5992(2022).

    [14] KNIAZ V V. GANcoder: Robust Feature Point Matching Using Conditional Adversarial Autoencoder[C]Optics, Photonics Digital Technologies f Imaging Applications VI. Bellingham: Society of PhotoOptical Instrumentation Engineers, 2020.

    [15] B WU, H ZENG, H HU. Illumination Invariant Feature Point Matching for High-resolution Planetary Remote Sensing Images. Planetary and Space Science, 152, 45-54(2018).

    [16] J Y SHEN, X C GUO, W Z ZHOU et al. Feature Point Matching Method for Aerial Image Based on Recursive Diffusion Algorithm. Symmetry, 13, 407(2021).

    [18] ARTHUR D, VASSILVITSKII S. kmeans++: The Advantages of Careful Seeding[C]Proceedings of The Eighteenth Annual ACMSIAM Symposium on Discrete Algithms. Philadelphia: SIAM, 2007: 10271035.

    [19] BAGHAIE A , YU Z . Structure Tens Based Image Interpolation Method[J]. AEUE International Journal of Electronics Communications, 2015, 69(2): 515522.

    [21] D G LOWE. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 60, 91-110(2004).

    Bo LI, Hongyan HE, Yu WANG, Yufei DING, Dou SUN, Shixiang CAO. Feature Point Matching Method for Weakly Textured Spatial Objects[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(1): 99
    Download Citation