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

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 24 >Page 242804 > Article

Laser & Optoelectronics Progress
Vol. 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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DOI: 10.3788/LOP57.242804 Cite this Article Set citation alerts

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 Copy Citation Text

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