Lidar-based individual tree species classification using convolutional neural network
T Mizoguchi, A Ishii, H Nakamura… - … range imaging, and …, 2017 - spiedigitallibrary.org
Terrestrial lidar is commonly used for detailed documentation in the field of forest inventory
investigation. Recent improvements of point cloud processing techniques enabled efficient …
investigation. Recent improvements of point cloud processing techniques enabled efficient …
A novel computer-aided tree species identification method based on burst wind segmentation of 3d bark textures
Abstract Terrestrial Laser Scanning (TLS) systems have gained increasing popularity in the
forestry domain and are today widely used for the automatic measurement of forest inventory …
forestry domain and are today widely used for the automatic measurement of forest inventory …
YOLO-based tree trunk types multispectral perception: A two-genus study at stand-level for forestry inventory management purposes
Stand-level forest tree species perception and identification are needed for monitoring-
related operations, being crucial for better biodiversity and inventory management in …
related operations, being crucial for better biodiversity and inventory management in …
Detection and isolation of switches in point clouds of the German railway network
JJ Ponciano, C Prudhomme, B Tietz… - … Conference on Signal …, 2015 - ieeexplore.ieee.org
In order to obtain an automated system of railway management, it is necessary to
automatically detect, isolate and identify all switches in a point cloud which represents the …
automatically detect, isolate and identify all switches in a point cloud which represents the …
Study on incipient fault diagnosis for rolling bearings based on wavelet and neural networks
Y Li - 2008 Fourth International Conference on Natural …, 2008 - ieeexplore.ieee.org
The incipient fault diagnosis of rolling bearings is the technical prerequisite for safe
production and avoiding heavy accidents. In this paper, an intelligent incipient fault …
production and avoiding heavy accidents. In this paper, an intelligent incipient fault …
[PDF][PDF] Accurate and Robust Skin Feature Extraction Scheme for Aging Estimation
H Kim, J Park, E Hwang, W Kim - personales.upv.es
In this paper, we revise our method for skin feature extraction based on cell segmentation to
improve its accuracy, efficiency and robustness that are very critical in the realistic skin …
improve its accuracy, efficiency and robustness that are very critical in the realistic skin …
[PDF][PDF] Improving Feature Extraction Accuracy for Skin Analysis
W Kim, E Hwang - MMEDIA 2017, 2017 - academia.edu
In this paper, we revise our skin feature extraction method based on cell segmentation to
improve the accuracy and efficiency of skin feature analysis. Accurate skin feature extraction …
improve the accuracy and efficiency of skin feature analysis. Accurate skin feature extraction …
An Overview of Tree Species Identification from T-LiDAR Data
AA Othmani - Computer Vision and Pattern Recognition in …, 2016 - igi-global.com
Due to the increasing use of the Terrestrial LiDAR Scanning (TLS also called T-LiDAR)
technology in the forestry domain, many researchers and forest management organizations …
technology in the forestry domain, many researchers and forest management organizations …
点群上の曲率計算と深層学習による樹種自動判別
溝口知広， 石井彰， 中村裕幸 - 精密工学会学術講演会講演論文集2018 …, 2018 - jstage.jst.go.jp
抄録 本研究では, 点群上の曲率計算と深層学習に基づく樹種判別手法を提案する. 提案手法では,
計算した最大/最小主曲率を値としたグレースケール画像を作成し, これを深層学習に利用することで …
計算した最大/最小主曲率を値としたグレースケール画像を作成し, これを深層学習に利用することで …