Automatic Vegetation Identification and Building Detection from a Single Nadir Aerial Image PDF Print E-mail
Written by Nicholas Shorter   
Sunday, 25 October 2009 14:27

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.

 

Article Citation:

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

 

Journal Website Link to Article:

http://www.mdpi.com/2072-4292/1/4/731

 

PDF Version of the Article:

http://www.mdpi.com/2072-4292/1/4/731/pdf

 

Last Updated on Friday, 02 July 2010 20:46