An application for tree detection using satellite imagery and vegetation data

Issue title: Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2009

Article type: Research Article

Authors: Brown, David T.^{a; b; *} | Hoang, Roger V.^{a; b} | Sgambati, Matthew R.^{a; b} | Brown, Timothy J.^b | Dascalu, Sergiu M.^a | Harris, Jr., Frederick C.^{a; b}

Affiliations: [a] Department of Computer Science and Engineering, University of Nevada-Reno, Reno, NV, USA | [b] CAVCaM, Desert Research Institute, Reno, NV, USA

Correspondence: [*] Corresponding author. Tel.: +1 775 784 6974; Fax: +1 775 784 1877; E-mail: dtbrown@cse.unr.edu.

Abstract: Virtual reconstruction of large landscapes from satellite imagery can be a time-consuming task due to the number of objects that must be extracted. Poor image resolution and noise hinder automatic detection processes and thus must be corrected by the user. This paper describes an application that allows the user to guide the automatic detection of trees from satellite imagery and spatial vegetation data. The requirements of the system are specified and an architecture that satisfies these constraints is presented. The resulting application provides an intuitive computer-aided method for the selection and classification of trees.

Keywords: Virtual reality, image processing, forest fire

DOI: 10.3233/JCM-2010-0264

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 10, no. s1, pp. S13-S25, 2010