Tree-Species Identification of Multisource Remote-Sensing Data using Improved 3D-CNN

Xusheng Li; Donghua Chen; Saisai Liu; Naiming Zhang; Hu Li

doi:10.3788/LOP57.242804

Laser & Optoelectronics Progress, Volume. 57, Issue 24, 242804(2020)

Tree-Species Identification of Multisource Remote-Sensing Data using Improved 3D-CNN

Xusheng Li¹, Donghua Chen^2,3、*, Saisai Liu³, Naiming Zhang⁴, and Hu Li^2、*

Author Affiliations

¹College of Grassland and Environment Sciences, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China

²School of Geography and Tourism, Anhui Normal University, Wuhu, Anhui 241000, China

³College of Computer and Information Engineering, Chuzhou University, Chuzhou, Anhui 239000, China

⁴College of Geography and Tourism, Xinjiang Normal University, Urumqi, Xinjiang 830001, China

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Xusheng Li, Donghua Chen, Saisai Liu, Naiming Zhang, Hu Li. Tree-Species Identification of Multisource Remote-Sensing Data using Improved 3D-CNN[J]. Laser & Optoelectronics Progress, 2020, 57(24): 242804

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Paper Information

Category: Remote Sensing and Sensors

Received: Apr. 23, 2020

Accepted: May. 29, 2020

Published Online: Nov. 25, 2020

The Author Email: Donghua Chen (lihu2881@aliyun.com), Hu Li (lihu2881@aliyun.com)

DOI:10.3788/LOP57.242804

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology