Improved salient feature based approach for automatically separating photosynthetic and nonphotosynthetic components

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Improved salient feature based approach for automatically separating photosynthetic and nonphotosynthetic components +91-9994232214,7806844441, ieeeprojectchennai@gmail.com, www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2016-2017 ----------------------------------- Contact:+91-9994232214,+91-7806844441 Email: ieeeprojectchennai@gmail.com

Engineering

Improved Salient Feature-Based Approach for Automatically Separating
Photosynthetic and Nonphotosynthetic Components
Abstract:
Accurate separation of photosynthetic and nonphotosynthetic components in a
forest canopy from 3-D terrestrial laser scanning (TLS) data is a challenging but of
key importance to understand the spatial distribution of the radiation regime,
photosynthetic processes, and carbon and water exchanges of the forest canopy.
The objective of this paper was to improve current methods for separating
photosynthetic and nonphotosynthetic components in TLS data of forest canopies
by adding two additional filters only based on its geometric information. By
comparing the proposed approach with the eigenvalues plus color information-
based method, we found that the proposed approach could effectively improve
the overall producer's accuracy from 62.12% to 95.45%, and the overall
classification producer's accuracy would increase from 84.28% to 97.80% as the
forest leaf area index (LAI) decreases from 4.15 to 3.13. In addition, variations in
tree species had negligible effects on the final classification accuracy, as shown by
the overall producer's accuracy for coniferous (93.09%) and broadleaf (94.96%)
trees. To remove quantitatively the effects of the woody materials in a forest
canopy for improving TLS-based LAI estimates, we also computed the “woody-to-
total area ratio” based on the classified linear class points from an individual tree.
Automatic classification of the forest point clouddata set will facilitate the
application of TLS on retrieving 3-D forest canopy structural parameters, including
LAI and leaf and woody area ratios.

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Improved salient feature based approach for automatically separating photosynthetic and nonphotosynthetic components