Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1228002(2022)

Heterogeneous Remote Sensing Image Matching Algorithm Based on Residual Pseudo-Siamese Convolution Cross-Correlation Network

Rongping Zou1,2, Bin Zhu1,2、*, Chenyang Wang1, Yaoxuan Zhu1,2, and Yangdi Hu3
Author Affiliations
  • 1College of Electronic Engineering, National University of Defense Technology, Hefei 230037, Anhui , China
  • 2Key Laboratory of Infrared and Low Temperature Plasma of Anhui Province, Hefei 230037, Anhui , China
  • 3Army 32256 of PLA, Guiling541000, Guangxi , China
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    References(18)

    [1] Li Y Y, Wu H, Chang X L et al. Multi-view stereo positioning error analysis based on spaceborne optics and SAR images[J]. Acta Optica Sinica, 38, 0528003(2018).

    [3] Han Z S, Wang C P, Fu Q et al. Remote sensing image mode translation by spatial disentangled representation based GAN[J]. Acta Optica Sinica, 41, 0728003(2021).

    [4] Xie Z H, Liu J H, Sun H et al. Fast registration of visible light and synthetic aperture radar images[J]. Laser & Optoelectronics Progress, 57, 062803(2020).

    [14] Ioffe S, Szegedy C. Batch normalization: accelerating deep network training by reducing internal covariate shift[C], 448-456(2015).

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    Rongping Zou, Bin Zhu, Chenyang Wang, Yaoxuan Zhu, Yangdi Hu. Heterogeneous Remote Sensing Image Matching Algorithm Based on Residual Pseudo-Siamese Convolution Cross-Correlation Network[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1228002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 28, 2021

    Accepted: Jun. 2, 2021

    Published Online: May. 23, 2022

    The Author Email: Zhu Bin (zhubin@nudt.edu.cn)

    DOI:10.3788/LOP202259.1228002

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