Title

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

Authors

Authors

N. Shorter;T. Kasparis

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Remote Sens.

Keywords

vegetation identification; building detection; color invariants; nadir; aerial image; Remote Sensing

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.

Journal Title

Remote Sensing

Volume

1

Issue/Number

4

Publication Date

1-1-2009

Document Type

Article

Language

English

First Page

731

Last Page

757

WOS Identifier

WOS:000208401000005

ISSN

2072-4292

Share

COinS