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

Rongping Zou; Bin Zhu; Chenyang Wang; Yaoxuan Zhu; Yangdi Hu

doi:10.3788/LOP202259.1228002

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 Zou^1,2, Bin Zhu^1,2、*, Chenyang Wang¹, Yaoxuan Zhu^1,2, 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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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: Bin Zhu (zhubin@nudt.edu.cn)

DOI:10.3788/LOP202259.1228002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology