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

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 18 >Page 1810014 > Article

Laser & Optoelectronics Progress
Vol. 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、*

Author Affiliations

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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DOI: 10.3788/LOP202259.1810014 Cite this Article Set citation alerts

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 Copy Citation Text

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