Recognition of roads and bridges in SAR images

Author

Wang, Ying ; Zheng, Qinfen

Author_Institution

Center for Autom. Res., Maryland Univ., College Park, MD, USA

fYear

1995

fDate

8-11 May 1995

Firstpage

399

Lastpage

404

Abstract

A region-based method is presented for the recognition of roads and bridges in fully polarimetric synthetic aperture radar (SAR) images. For the recognition of bridges, a CFAR detector is first used to extract strong backscatterers from bridge fences; the backscatterers are then grouped using a Hough transform to find potential bridge fences; finally, bridges are delineated according to the polarimetric features of the regions between the potential fences. After the delineation of bridges, another Hough transform is used to recognize roads. Morphological filtering is used to suppress speckle in SAR images. Results on high resolution SAR images obtained from Lincoln Laboratory are given

Keywords

Hough transforms; backscatter; filtering theory; image resolution; mathematical morphology; radar cross-sections; radar detection; radar imaging; radar polarimetry; radar target recognition; speckle; synthetic aperture radar; CFAR detector; Hough transform; Lincoln Laboratory; backscatterers; bridge fences; bridges; high resolution SAR images; morphological filtering; polarimetric features; polarimetric synthetic aperture radar; radar recognition; region-based method; roads; speckle suppression; Bridges; Detectors; Filtering; Image recognition; Image resolution; Polarimetric synthetic aperture radar; Radar detection; Roads; Speckle; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 1995., Record of the IEEE 1995 International

Conference_Location

Alexandria, VA

Print_ISBN

0-7803-2121-9

Type

conf

DOI

10.1109/RADAR.1995.522580

Filename

522580