Title :
DSM generation over large urban areas from VHR satellite sensors
Author :
Poli, Daniela ; Caravaggi, Ivano
Author_Institution :
Joint Res. Center, Eur. Comm., Ispra, Italy
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352566
