Classification of Individual Tree Species in High-Resolution Remote Sensing Imagery Based on Convolution Neural Network

Guang Ouyang; Linhai Jing; Shijie Yan; Hui Li; Yunwei Tang; Bingxiang Tan

doi:10.3788/LOP202158.0228002

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 2 >Page 0228002 > Article

Laser & Optoelectronics Progress
Vol. 58, Issue 2, 0228002 (2021)

Classification of Individual Tree Species in High-Resolution Remote Sensing Imagery Based on Convolution Neural Network

Guang Ouyang^1、2, Linhai Jing^1、*, Shijie Yan¹, Hui Li¹, Yunwei Tang¹, and Bingxiang Tan³

Author Affiliations

¹Key Laboratory of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

²School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing 100049, China

³Institute of Forest Resource Information Techniques CAF, Beijing 100091, China

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DOI: 10.3788/LOP202158.0228002 Cite this Article Set citation alerts

Guang Ouyang, Linhai Jing, Shijie Yan, Hui Li, Yunwei Tang, Bingxiang Tan. Classification of Individual Tree Species in High-Resolution Remote Sensing Imagery Based on Convolution Neural Network[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0228002 Copy Citation Text

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