Abbreviated Journal Title
Remote Sens.
Keywords
Vegetation Identification; Building Detection; Color Invariants; Nadir; Aerial Image; Remote Sensing
Abstract
A novel, automatic tertiary classifier is proposed for identifying vegetation, building and non-building objects from a single nadir aerial image. The method is unsupervised, that is, no parameter adjustment is done during the algorithm's execution. The only assumption the algorithm makes about the building structures is that they have convex rooftop sections. Results are provided for two different actual data sets.
Journal Title
Remote Sensing
Volume
1
Issue/Number
4
Publication Date
1-1-2009
Document Type
Article
DOI Link
Language
English
First Page
731
Last Page
757
WOS Identifier
ISSN
2072-4292
Recommended Citation
Shorter, Nicholas and Kasparis, Takis, "Automatic Vegetation Identification and Building Detection from a Single Nadir Aerial Image" (2009). Faculty Bibliography 2000s. 2138.
https://stars.library.ucf.edu/facultybib2000/2138
Comments
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