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Journals >
Acta Optica Sinica >
Volume 38 >
Issue 8 >
Page 0828001 > Article
Acta Optica Sinica
Vol. 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 Gao
1
, Xiangyu Meng
3
, Yuan An
1
, and Xing Zhong
1
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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DOI:
10.3788/AOS201838.0828001
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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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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: Aug. 13, 2018
The Author Email:
DOI:
10.3788/AOS201838.0828001
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