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Remote Sens. 2009, 1(4), 731-757; doi:10.3390/rs1040731

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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Received: 18 September 2009 / Revised: 30 September 2009 / Accepted: 13 October 2009 / Published: 16 October 2009

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. 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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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

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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