DocumentCode :
1690864
Title :
Target aspect estimation from single and multi-pass SAR images
Author :
Meth, R. ; Chellappa, R. ; Kuttikkad, S.
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Volume :
5
fYear :
1998
Firstpage :
2745
Abstract :
A technique is presented for estimating the aspect of targets in SAR imagery for use in indexing, feature extraction and recognition. Aspect estimation is enhanced by combining multiple images of the same target. In order to properly combine the estimation of multiple passes, it is necessary to accurately register the images to a common coordinate frame. An algorithm for registering multiple high resolution SAR images, is presented. A global affine transformation derived from the sensor acquisition parameters is used to automatically register the images, followed by a refinement to correct for translational errors. The registered SAR images are used for improving the estimates of target orientation angles, detecting the presence of occlusion and indicating poor target segmentation
Keywords :
airborne radar; feature extraction; image registration; image resolution; image segmentation; parameter estimation; radar imaging; radar target recognition; synthetic aperture radar; transforms; SAR imagery; airborne radar; algorithm; coordinate frame; feature extraction; global affine transformation; high resolution SAR images; image registration; indexing; multi-pass SAR image; multiple images; occlusion detection; recognition; sensor acquisition parameters; single pass SAR image; target aspect estimation; target orientation angles; target segmentation; translational error correction; Contracts; Educational institutions; Image edge detection; Image segmentation; Indexing; Monitoring; Radar imaging; Scattering; Speckle; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.678091
Filename :
678091
Link To Document :
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