Research Article
Framework for Tree Crown Delineation from Panchromatic Images
@ARTICLE{10.4108/eai.29-4-2021.169428, author={Yuva Krishna Aluri and Naveen V S S Kanuri and Marlapalli Krishna and Rambabu Busi and S Mohanbabu Chowdary and Bandlamudi S B P Rani}, title={Framework for Tree Crown Delineation from Panchromatic Images}, journal={EAI Endorsed Transactions on Energy Web}, volume={9}, number={37}, publisher={EAI}, journal_a={EW}, year={2021}, month={4}, keywords={Intelligent Systems, Training Systems, Panchromatic images, Green ICT, Delineation, Histogram equalization.xture Feature}, doi={10.4108/eai.29-4-2021.169428} }
- Yuva Krishna Aluri
Naveen V S S Kanuri
Marlapalli Krishna
Rambabu Busi
S Mohanbabu Chowdary
Bandlamudi S B P Rani
Year: 2021
Framework for Tree Crown Delineation from Panchromatic Images
EW
EAI
DOI: 10.4108/eai.29-4-2021.169428
Abstract
In this paper we developed a Framework for Delineation of Trees to discover the tree of urban areas. Individual tree crown extraction is important for urban forest inventory. Earlier some research studies were done which primarily deal with particular tree crown or tree species detection. These methods not found the solution for distinguishing trees from their shadows. In our framework we used methods which extract texture-based features from panchromatic images. In the proposed methodology first the input image will undergo with pre-processing where unnecessary distortions like shadows and dark spots etc. were suppressed and then image quality is used by applying enhancement techniques. Output image is segmented to detect boundaries and objects from the image. Finally a framework is developed for delineation of trees. The proposed framework process with shadows of trees and identify the tree effectively from a satellite image.
Copyright © 2021 Yuva Krishna Aluri et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.