Joint VHR - LIDAR classification framework in urban areas using a priori knowledge and post processing shape optimization

Author

Gamba, Paolo ; Lisini, Gianni ; Tomás, Lívia ; Almeida, Cláudia ; Fonseca, Leila

Author_Institution

Dept. of Electron., Univ. of Pavia, Pavia, Italy

fYear

2011

fDate

11-13 April 2011

Firstpage

93

Lastpage

96

Abstract

In this paper we describe a joint methodology for exploiting multispectral and LIDAR data for the characterization of an urban area. The test site is the town of Uberlandia (Brazil). We first discuss the overall framework for 2D and 3D data fusion, and then introduce the approach investigated in this work. We then provide and discuss the mapping results obtained in our investigation. Finally, in order to increase the overall accuracy and enhance the extraction of single building/composite block shapes, a post-classification procedure is applied to the obtained map.

Keywords

optical radar; optimisation; pattern classification; remote sensing by radar; sensor fusion; shape recognition; town and country planning; VHR-LIDAR classification framework; data fusion; multispectral data; post processing shape optimization; priori knowledge; urban areas; Buildings; Joints; Laser radar; Roads; Shape; Three dimensional displays; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event (JURSE), 2011 Joint

Conference_Location

Munich

Print_ISBN

978-1-4244-8658-8

Type

conf

DOI

10.1109/JURSE.2011.5764727

Filename

5764727