DSM generation over large urban areas from VHR satellite sensors

Author

Poli, Daniela ; Caravaggi, Ivano

Author_Institution

Joint Res. Center, Eur. Comm., Ispra, Italy

fYear

2012

fDate

22-27 July 2012

Firstpage

6940

Lastpage

6943

Abstract

This paper addresses the modeling of large urban areas using Very High Resoluton (VHR) satellite optical sensors. Stereo images acquired by GeoEye-1 on Dakar and Guatemala City and by WorldView-2on Panama City, Constitucion (Chile), Kabul, Teheran, Kathmandu and San Salvador were processed following a rigorous photogrammetric approach and the Digital Surface Models generated. The quality of the DSMs was evaluated in relation to the image and terrain characteristics. The size of the datasets, the variety of case studies and the complexity of the scenarios allow to critically analyze the potentials of VHR stereo imagery for 3D urban modelling.

Keywords

digital elevation models; geophysical image processing; photogrammetry; terrain mapping; 3D urban modelling; Chile; Constitucion; DSM generation; Dakar City; GeoEye-1; Guatemala City; Kabul; Kathmandu; Panama City; San Salvador; Teheran; VHR satellite sensors; VHR stereo imagery; WorldView-2; digital surface models; large urban areas; rigorous photogrammetric approach; terrain characteristics; very high resoluton satellite optical sensors; Buildings; Cities and towns; Image resolution; Optical sensors; Satellites; Urban areas; Very high resolution; building height extraction; digital surface modeling; optical sensors; satellite; stereo imagery;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6352566

Filename

6352566