[HTML][HTML] Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests
Monitoring biodiversity in forests is crucial for their management and preservation,
especially in light of increasing climatic disturbances. However, traditional methods of …
especially in light of increasing climatic disturbances. However, traditional methods of …
Tree species identification from bark images using convolutional neural networks
M Carpentier, P Giguere… - 2018 IEEE/RSJ …, 2018 - ieeexplore.ieee.org
Tree species identification using bark images is a challenging problem that could prove
useful for many forestry related tasks. However, while the recent progress in deep learning …
useful for many forestry related tasks. However, while the recent progress in deep learning …
Terrestrial laser scanning: An operational tool for fuel hazard mapping?
Fuel hazard estimates are vital for the prediction of fire behaviour and planning fuel
treatment activities. Previous literature has highlighted the potential of Terrestrial Laser …
treatment activities. Previous literature has highlighted the potential of Terrestrial Laser …
Identifying tree-related microhabitats in TLS point clouds using machine learning
Tree-related microhabitats (TreMs) play an important role in maintaining forest biodiversity
and have recently received more attention in ecosystem conservation, forest management …
and have recently received more attention in ecosystem conservation, forest management …
[PDF][PDF] Identifying species of trees through bark images by convolutional neural networks with transfer learning method
B Elmas - Journal of the Faculty of Engineering and Architecture …, 2021 - researchgate.net
Purpose: The aim of this paper is to demonstrate that it is possible to identify tree species
from images of barks by using transfer learning method with convolutional neural networks …
from images of barks by using transfer learning method with convolutional neural networks …
Enhancing Tree Species Identification in Forestry and Urban Forests through Light Detection and Ranging Point Cloud Structural Features and Machine Learning
S Rust, B Stoinski - Forests, 2024 - mdpi.com
As remote sensing transforms forest and urban tree management, automating tree species
classification is now a major challenge to harness these advances for forestry and urban …
classification is now a major challenge to harness these advances for forestry and urban …
Special issue on computer vision and image analysis in plant phenotyping
Plant phenotyping is the identification of effects on the phenotype (ie, the plant appearance
and behavior) as a result of genotype differences (ie, differences in the genetic code) and …
and behavior) as a result of genotype differences (ie, differences in the genetic code) and …
基于深度学习的树种图像自动识别
刘嘉政， 王雪峰， 王甜 - 南京林业大学学报(自然科学版), 2020 - nldxb.njfu.edu.cn
[目的] 为了探究深度学习方法用于林业树种图像智能识别的可行性, 提出一种基于深度学习方法
的自动识别树种新方法. 在TensorFlow 框架下, 对卷积神经网络(CNN) 模型进行改进, 对7 …
的自动识别树种新方法. 在TensorFlow 框架下, 对卷积神经网络(CNN) 模型进行改进, 对7 …
Application of terrestrial laser scanning to tree trunk bark structure characteristics evaluation and analysis of their effect on the flow resistance coefficient
The paper presents an original method for the evaluation of bark structure characteristics of
tree trunks on the basis of terrestrial laser scanning data. Measurements testing the method …
tree trunks on the basis of terrestrial laser scanning data. Measurements testing the method …
Evrişimli sinir ağları ile ağaç kabuğu görüntülerinden ağaç türlerinin transfer öğrenme yöntemiyle tanımlanması
B Elmas - Gazi Üniversitesi Mühendislik Mimarlık Fakültesi …, 2021 - dergipark.org.tr
Derin Öğrenme yöntemiyle ağaç kabuğu görüntülerinden ağaçların tanımlanması, ağaçların
geleceğe taşınmasında, yaşamsal açısından önemli ağaçların koruma altına alınmasında …
geleceğe taşınmasında, yaşamsal açısından önemli ağaçların koruma altına alınmasında …