Tree Recognition and Crown Width Extraction Based on Novel Faster-RCNN in a Dense Loblolly Pine Environment

Chongyuan Cai; Hao Xu; Sheng Chen; Laibang Yang; Yuhui Weng; Siqi Huang; Chen Dong; Xiongwei Lou

doi:10.3390/f14050863

Tree Recognition and Crown Width Extraction Based on Novel Faster-RCNN in a Dense Loblolly Pine Environment

Chongyuan Cai, Hao Xu, Sheng Chen, Laibang Yang, Yuhui Weng, Siqi Huang, Chen Dong, Xiongwei Lou

Forestry

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	863
Journal	Forests
Volume	14
Issue number	5
DOIs	https://doi.org/10.3390/f14050863
State	Published - May 2023

ASJC Scopus Subject Areas

Forestry

Keywords

FPN
ResNet101
UAV
deep learning
loblolly pine

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10.3390/f14050863

Cite this

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title = "Tree Recognition and Crown Width Extraction Based on Novel Faster-RCNN in a Dense Loblolly Pine Environment",

keywords = "FPN, ResNet101, UAV, deep learning, loblolly pine",

author = "Chongyuan Cai and Hao Xu and Sheng Chen and Laibang Yang and Yuhui Weng and Siqi Huang and Chen Dong and Xiongwei Lou",

note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",

year = "2023",

month = may,

doi = "10.3390/f14050863",

language = "English",

volume = "14",

number = "5",

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TY - JOUR

T1 - Tree Recognition and Crown Width Extraction Based on Novel Faster-RCNN in a Dense Loblolly Pine Environment

AU - Cai, Chongyuan

AU - Xu, Hao

AU - Chen, Sheng

AU - Yang, Laibang

AU - Weng, Yuhui

AU - Huang, Siqi

AU - Dong, Chen

AU - Lou, Xiongwei

PY - 2023/5

Y1 - 2023/5

KW - FPN

KW - ResNet101

KW - UAV

KW - deep learning

KW - loblolly pine

UR - https://www.scopus.com/pages/publications/85160601858

UR - https://www.scopus.com/inward/citedby.url?scp=85160601858&partnerID=8YFLogxK

U2 - 10.3390/f14050863

DO - 10.3390/f14050863

M3 - Article

AN - SCOPUS:85160601858

VL - 14

JO - Forests

JF - Forests

IS - 5

M1 - 863

ER -

Tree Recognition and Crown Width Extraction Based on Novel Faster-RCNN in a Dense Loblolly Pine Environment

ASJC Scopus Subject Areas

Keywords

Access to Document

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