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

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
* Author to whom correspondence should be addressed.
Received: 18 September 2009; in revised form: 30 September 2009 / Accepted: 13 October 2009 / Published: 16 October 2009
PDF Full-text Download PDF Full-Text [1697 KB, uploaded 16 October 2009 13:21 CEST]
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.
Keywords: vegetation identification; building detection; color invariants; nadir aerial image

Correction

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

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.

AMA Style

Shorter N, Kasparis T. Automatic Vegetation Identification and Building Detection from a Single Nadir Aerial Image. Remote Sensing. 2009; 1(4):731-757.

Chicago/Turabian Style

Shorter, Nicholas; Kasparis, Takis. 2009. "Automatic Vegetation Identification and Building Detection from a Single Nadir Aerial Image." Remote Sens. 1, no. 4: 731-757.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert