Hyperspectral Image Classification Based on Multi-Scale Feature Fusion Residual Network

Ziqing Deng; Yang Wang; Bing Zhang; Zhao Ding; Lifeng Bian; Chen Yang

doi:10.3788/LOP202259.1810014

Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1810014(2022)

Hyperspectral Image Classification Based on Multi-Scale Feature Fusion Residual Network

Ziqing Deng¹, Yang Wang¹, Bing Zhang¹, Zhao Ding¹, Lifeng Bian², and Chen Yang^1、*

¹Engineering Research Center of Semiconductor Power Device Reliability, Ministry of Education, College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, Guizhou , China

²Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, Jiangsu , China

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Ziqing Deng, Yang Wang, Bing Zhang, Zhao Ding, Lifeng Bian, Chen Yang. Hyperspectral Image Classification Based on Multi-Scale Feature Fusion Residual Network[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810014

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Paper Information

Category: Image Processing

Received: Jun. 15, 2021

Accepted: Aug. 10, 2021

Published Online: Aug. 29, 2022

The Author Email: Chen Yang (eliot.c.yang@163.com)

DOI:10.3788/LOP202259.1810014

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology