We extend the concept of monostatic aspect diversity for improved automatic target recognition (ATR) to a bistatic synthetic aperture radar (SAR) platform. We derive the probability of error with respect to the number of aspects used for a simple two-target template-matching classification system. The validity of the error prediction is confirmed using simulated bistatic SAR images. Our results demonstrate the ATR benefits of supplementing monostatic SAR images with one or more bistatic SAR images.
Decreased Probability of Error in Template-Matching Classification Using Aspect-Diverse Bistatic SAR
IEEE Transactions on Aerospace and Electronic Systems ; 54 , 4 ; 1862-1870
01.08.2018
1209323 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Optimal Baseline Design and Error Compensation for Bistatic Spaceborne InSAR
British Library Conference Proceedings | 2006
|Fast template matching using bounded partial correlation
British Library Online Contents | 2003
|