DocumentCode :
3701
Title :
Moving Target Tracking in Single- and Multichannel SAR
Author :
Henke, Daniel ; Mendez Dominguez, Elias ; Small, David ; Schaepman, Michael E. ; Meier, Erich
Author_Institution :
Dept. of Geogr., Univ. of Zurich, Zurich, Switzerland
Volume :
53
Issue :
6
fYear :
2015
fDate :
Jun-15
Firstpage :
3146
Lastpage :
3159
Abstract :
Methods for moving target tracking in single- and multichannel synthetic aperture radar (SAR) are presented and evaluated using data from the F-SAR system. An approach based on temporal and spatial overlapping SAR images, image statistics, and multitarget unscented Kalman filtering showed promising results for a single-channel linear SAR experiment. Here, we extend this approach to integrate along-track multichannel data, combine single- and multichannel extraction methods, and verify our results on nonlinear test data on all the different extraction methods. The results are validated and compared with ground-based measurements on a highway section, demonstrating the accuracy of the presented method.
Keywords :
feature extraction; geophysical image processing; remote sensing by radar; synthetic aperture radar; F-SAR system; along-track multichannel data; ground-based measurements; image statistics; moving target tracking; multichannel SAR; multichannel extraction method; multitarget unscented Kalman filtering; single-channel SAR; single-channel extraction method; single-channel linear SAR experiment; synthetic aperture radar; temporal-spatial overlapping SAR images; Antennas; Data mining; Radar tracking; Sensors; Synthetic aperture radar; Target tracking; Trajectory; Ground moving target indication (GMTI); Kalman filtering; moving target tracking; radar signal analysis; radar velocity measurement; synthetic aperture radar (SAR); tracking filters;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2014.2369060
Filename :
7001607
Link To Document :
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