Tree Species Classification and Mapping Based on Deep Transfer Learning with Unmanned Aerial Vehicle High Resolution Images

Wenxiu Teng; Xiaorong Wen; Ni Wang; Huihui Shi

doi:10.3788/LOP56.072801

Laser & Optoelectronics Progress, Volume. 56, Issue 7, 072801(2019)

Tree Species Classification and Mapping Based on Deep Transfer Learning with Unmanned Aerial Vehicle High Resolution Images

Wenxiu Teng^1,2, Xiaorong Wen^1,2、*, Ni Wang^3,4, and Huihui Shi³

Author Affiliations

¹ Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China

² College of Forest, Nanjing Forestry University, Nanjing, Jiangsu 210037, China

³ School of Geographic Information and Tourism, Chuzhou University, Chuzhou, Anhui 239000, China

⁴ Anhui Engineering Laboratory of Geographical Information Intelligent Sensor and Service, Chuzhou, Anhui 239000, China

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Wenxiu Teng, Xiaorong Wen, Ni Wang, Huihui Shi. Tree Species Classification and Mapping Based on Deep Transfer Learning with Unmanned Aerial Vehicle High Resolution Images[J]. Laser & Optoelectronics Progress, 2019, 56(7): 072801

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Paper Information

Category: Remote Sensing and Sensors

Received: Oct. 8, 2018

Accepted: Oct. 22, 2018

Published Online: Jul. 30, 2019

The Author Email: Xiaorong Wen (wenxiu_teng@163.com)

DOI:10.3788/LOP56.072801

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology