Hyperspectral Remote Sensing Image Classification Based on Three-Dimensional Convolution Neural Network Combined with Conditional Random Field Optimization

Zhuqiang Li; Ruifei Zhu; Fang Gao; Xiangyu Meng; Yuan An; Xing Zhong

doi:10.3788/AOS201838.0828001

Acta Optica Sinica, Volume. 38, Issue 8, 0828001(2018)

Hyperspectral Remote Sensing Image Classification Based on Three-Dimensional Convolution Neural Network Combined with Conditional Random Field Optimization

Zhuqiang Li^1、*, Ruifei Zhu^1,2, Fang Gao¹, Xiangyu Meng³, Yuan An¹, and Xing Zhong¹

Author Affiliations

¹ Chang Guang Satellite Technology Co.Ltd., Key Laboratory of Satellite Remote Sensing Application Technology of Jilin Province, Changchun, Jilin 130000, China

² Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China

³ Jilin Provincial Land Survey & Planning Institute, Changchun, Jilin 130061, China;

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Zhuqiang Li, Ruifei Zhu, Fang Gao, Xiangyu Meng, Yuan An, Xing Zhong. Hyperspectral Remote Sensing Image Classification Based on Three-Dimensional Convolution Neural Network Combined with Conditional Random Field Optimization[J]. Acta Optica Sinica, 2018, 38(8): 0828001

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Paper Information

Category: Remote Sensing and Sensors

Received: Jan. 29, 2018

Accepted: Apr. 2, 2018

Published Online: Sep. 6, 2018

The Author Email:

DOI:10.3788/AOS201838.0828001

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