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

Laser & Optoelectronics Progress, Volume. 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

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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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

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Paper Information

Category: Remote Sensing and Sensors

Received: Jun. 12, 2020

Accepted: Jul. 3, 2020

Published Online: Jan. 11, 2021

The Author Email: Jing Linhai (jinglh@radi.ac.cn)

DOI:10.3788/LOP202158.0228002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology