DocumentCode :
384360
Title :
Grouping salient scatterers in InSAR data for recognition of industrial buildings
Author :
Michaelsen, Eckart ; Soergel, Uwe ; Stilla, Uwe
Author_Institution :
FGAN-FOM, Ettlingen, Germany
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
613
Abstract :
InSAR data are used to recognise large industrial building complexes. Such buildings often show salient regular patterns of strong scatterers on their roofs. A previous segmentation which uses the intensity, height and coherence information extracts building cues. Strong scatterers are filtered by a spot detector and localised by a cluster formation. Strong scatterers are grouped in rows by a process that uses the contours of the building cues as context. Stich buildings are labelled as industrial buildings and serve as seeds to assemble adjacent buildings into complex structured building aggregates. The structure of the grouping process is depicted by a production net.
Keywords :
building; feature extraction; image segmentation; object recognition; pattern clustering; radar imaging; synthetic aperture radar; InSAR data; building cues; cluster formation; clustering; coherence information; complex structured building aggregates; feature extraction; height information; industrial building recognition; intensity information; large industrial building complexes; production net; salient scatterer grouping; segmentation; spot detector; strong scatterers; Aggregates; Airports; Buildings; Detectors; Filtering; Image segmentation; Industrial relations; Light scattering; Production; Synthetic aperture radar interferometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048377
Filename :
1048377
Link To Document :
بازگشت