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Open AccessArticle

Automatic Vegetation Identification and Building Detection from a Single Nadir Aerial Image

School of Electrical Engineering and Computer Science (EECS), University of Central Florida (UCF), 4000 Central Florida Blvd., Orlando, FL 32816-2362, USA
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Remote Sens. 2009, 1(4), 731-757; https://doi.org/10.3390/rs1040731
Received: 18 September 2009 / Revised: 30 September 2009 / Accepted: 13 October 2009 / Published: 16 October 2009
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. View Full-Text
Keywords: vegetation identification; building detection; color invariants; nadir aerial image vegetation identification; building detection; color invariants; nadir aerial image
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Shorter, N.; Kasparis, T. Automatic Vegetation Identification and Building Detection from a Single Nadir Aerial Image. Remote Sens. 2009, 1, 731-757.

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