Classification of High-Resolution Remote Sensing Image Based on Swin Transformer and Convolutional Neural Network

Xiaoying He; Weiming Xu; Kaixiang Pan; Juan Wang; Ziwei Li

doi:10.3788/LOP232003

Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1428002(2024)

Classification of High-Resolution Remote Sensing Image Based on Swin Transformer and Convolutional Neural Network

Xiaoying He^1,2,3, Weiming Xu^1,2,3、*, Kaixiang Pan^1,2,3, Juan Wang^1,2,3, and Ziwei Li^1,2,3

Author Affiliations

¹The Academy of Digital China, Fuzhou University, Fuzhou 350108, Fujian , China

²Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, Fuzhou University, Fuzhou 350002, Fujian , China

³National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou 350002, Fujian , China

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Xiaoying He, Weiming Xu, Kaixiang Pan, Juan Wang, Ziwei Li. Classification of High-Resolution Remote Sensing Image Based on Swin Transformer and Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1428002

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Paper Information

Category: Remote Sensing and Sensors

Received: Aug. 29, 2023

Accepted: Nov. 21, 2023

Published Online: Jul. 8, 2024

The Author Email: Weiming Xu (xwming2@126.com)

DOI:10.3788/LOP232003

CSTR:32186.14.LOP232003

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology