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
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