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 Lin; Wei Liu; Chaoyang Niu; Gui Gao; Wanjie Lu

doi:10.3788/AOS221491

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 Liu^1、*, 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

Topics

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