A Novel Forest Dynamic Growth Visualization Method by Incorporating Spatial Structural Parameters Based on Convolutional Neural Network

Current visual methods of forest dynamic growth mostly focus on the plot or stand level, which cannot express the morphological and structural characteristics of individual trees, as well as their statistical linkages, and causes each tree in the stand to grow at the same rate. In addition, these vi...

Whakaahuatanga katoa

Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Linlong Wang, Huaiqing Zhang, Kexin Lei, Tingdong Yang, Jing Zhang, Zeyu Cui, Rurao Fu, Hongyan Yu, Baowei Zhao, Xianyin Wang
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	IEEE 2024-01-01
Rangatū:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ngā marau:	Convolutional neural network (CNN) forest growth model (FGM) spatial structure three-dimensional (3-D) visualization
Urunga tuihono:	https://ieeexplore.ieee.org/document/10356626/
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!