Morphological attributes and snag classification of four North American boreal tree species: Relationships with time since death and wood density

2012 ◽  
Vol 263 ◽  
pp. 138-147 ◽  
Author(s):  
Virginie A. Angers ◽  
Y. Bergeron ◽  
P. Drapeau
Keyword(s):  
Wood Density ◽  
North American ◽  
Tree Species ◽  
Time Since Death ◽  
Species Relationships ◽  
Morphological Attributes

scholarly journals Classification of Remote Sensing Data With Morphological Attributes Profiles: A decade of advances

2021 ◽  
pp. 0-0
Author(s):  
Deise Santana Maia ◽  
Minh-Tan Pham ◽  
Erchan Aptoula ◽  
Florent Guiotte ◽  
Sebastien Lefevre
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Morphological Attributes ◽  
Sensing Data

The importance of wood density in determining the phenology of tree species in a coastal rain forest

Biotropica ◽  
2021 ◽  
Author(s):  
Fernanda Gomes Galvão ◽  
André Luiz Alves de Lima ◽  
Clemir Candeia de Oliveira ◽  
Valdemir Fernando Silva ◽  
Maria Jesus Nogueira Rodal
Keyword(s):  
Wood Density ◽  
Tree Species ◽  
Rain Forest

scholarly journals Geometric and Topological Bases of a New Classification of Wood Vascular Tissues Part 1: Shape and Arrangement Classifications of Vessels

2021 ◽  
Vol 13 (14) ◽  
pp. 7545
Author(s):  
Nikolai Bardarov ◽  
Vladislav Todorov ◽  
Nicole Christoff
Keyword(s):  
Computer Vision ◽  
Detailed Analysis ◽  
Tree Species ◽  
Complete Solution ◽  
New Classification ◽  
Topological Characteristics ◽  
Definition Of ◽  
Wood Science ◽  
Quantitative Indicators

The need to identify wood by its anatomical features requires a detailed analysis of all the elements that make it up. This is a significant problem of structural wood science, the most general and complete solution of which is yet to be sought. In recent years, increasing attention has been paid to the use of computer vision methods to automate processes such as the detection, identification, and classification of different tissues and different tree species. The more successful use of these methods in wood anatomy requires a more precise and comprehensive definition of the anatomical elements, according to their geometric and topological characteristics. In this article, we conduct a detailed analysis of the limits of variation of the location and grouping of vessels in the observed microscopic samples. The present development offers criteria and quantitative indicators for defining the terms shape, location, and group of wood tissues. It is proposed to differentiate the quantitative indicators of the vessels depending on their geometric and topological characteristics. Thus, with the help of computer vision technics, it will be possible to establish topological characteristics of wood vessels, the extraction of which would be used to develop an algorithm for the automatic classification of tree species.

Impact of atmospheric correction and image filtering on hyperspectral classification of tree species using support vector machine

2015 ◽  
Vol 9 (1) ◽  
pp. 095990 ◽  
Author(s):  
Morteza Shahriari Nia ◽  
Daisy Zhe Wang ◽  
Stephanie Ann Bohlman ◽  
Paul Gader ◽  
Sarah J. Graves ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Tree Species ◽  
Atmospheric Correction ◽  
Image Filtering ◽  
Support Vector ◽  
Hyperspectral Classification

The Aesthetic Earlobe: Classification of Lobule Ptosis on the Basis of a Survey of North American Caucasians

2003 ◽  
Vol 112 (1) ◽  
pp. 266-272 ◽  
Author(s):  
Arian Mowlavi ◽  
D. Garth Meldrum ◽  
Bradon J. Wilhelmi ◽  
Ashkan Ghavami ◽  
Elvin G. Zook
Keyword(s):  
North American ◽  
The Aesthetic
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