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