DocumentCode :
2284394
Title :
Fully 3D and joint 2D/3D segmentation of InSAR data over urban environments
Author :
Dell´Acqua, Fabio ; Gamba, Paolo ; Soergel, Uwe ; Thoennessen, Ulrich
Author_Institution :
Dipt. di Elettronica, Pavia Univ., Italy
fYear :
2001
fDate :
2001
Firstpage :
328
Lastpage :
331
Abstract :
Reliable extraction of buildings from InSAR images is made tricky by the many disturbance factors that affect the measurement process, especially in urban areas where the proximity of many different buildings aggravates the problem of multiple reflections. In this paper we propose and discuss two different approaches to segmentation for building extraction
Keywords :
feature extraction; image recognition; image segmentation; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; InSAR data; building extraction; buildings; fully 3D segmentation; joint 2D/3D segmentation; multiple reflections; proximity; reliable extraction; urban environments; Buildings; Coherence; Layout; Lighting; Scattering; Sensor phenomena and characterization; Signal resolution; Synthetic aperture radar interferometry; Testing; Urban areas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing and Data Fusion over Urban Areas, IEEE/ISPRS Joint Workshop 2001
Conference_Location :
Rome
Print_ISBN :
0-7803-7059-7
Type :
conf
DOI :
10.1109/DFUA.2001.985907
Filename :
985907
Link To Document :
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