Acta Optica Sinica, Volume. 43, Issue 12, 1228001(2023)

Synthetic Aperture Radar Image Change Detection Based on Difference Image Construction of Log-Hyperbolic Cosine Ratio and Multi-Region Feature Convolution Extreme Learning Machine

Zhikang Lin1, Wei Liu1、*, Chaoyang Niu1, Gui Gao2, and Wanjie Lu1
Author Affiliations
  • 1School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University,Zhengzhou 450000, Henan, China
  • 2Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, Sichuan, China
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    Zhikang Lin, Wei Liu, Chaoyang Niu, Gui Gao, Wanjie Lu. Synthetic Aperture Radar Image Change Detection Based on Difference Image Construction of Log-Hyperbolic Cosine Ratio and Multi-Region Feature Convolution Extreme Learning Machine[J]. Acta Optica Sinica, 2023, 43(12): 1228001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 18, 2022

    Accepted: Sep. 22, 2022

    Published Online: Jun. 20, 2023

    The Author Email: Liu Wei (greatliuliu@163.com)

    DOI:10.3788/AOS221491

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