Decreased Probability of Error in Template-Matching Classification Using Aspect-Diverse Bistatic SAR

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.

[1]  William C. Snyder,et al.  Performance models for hypothesis-level fusion of multilook SAR ATR , 2003, SPIE Defense + Commercial Sensing.

[2]  M. Vespe,et al.  Multi-perspective target classification , 2005, IEEE International Radar Conference, 2005..

[3]  Brian D. Rigling,et al.  Raider tracer: a MATLAB-based electromagnetic scattering simulator , 2007, SPIE Defense + Commercial Sensing.

[4]  Bir Bhanu,et al.  Automatic Target Recognition: State of the Art Survey , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Brian D. Rigling,et al.  Recent improvements to the Raider Tracer scattering prediction tool , 2014, Defense + Security Symposium.

[6]  Bir Bhanu,et al.  Exploiting azimuthal variance of scatterers for multiple-look SAR recognition , 2002, SPIE Defense + Commercial Sensing.

[7]  Yang Ruliang,et al.  Pixel level fusion for multiple SAR images using PCA and wavelet transform , 2006, 2006 CIE International Conference on Radar.

[8]  Myron Z. Brown.  Analysis of multiple-view Bayesian classification for SAR ATR , 2003, SPIE Defense + Commercial Sensing.

[9]  M. Vespe,et al.  Aspect dependent drivers for multi-perspective target classification , 2006, 2006 IEEE Conference on Radar.

[10]  Brian D. Rigling.  Spotlight Synthetic Aperture Radar , 2007 .

[11]  Yu Jiming,et al.  SAR Target Recognition with Data Fusion , 2010, 2010 WASE International Conference on Information Engineering.

[12]  William C. Snyder,et al.  Model-based fusion of multi-look SAR for ATR , 2002, SPIE Defense + Commercial Sensing.

[13]  Larry L. Horowitz,et al.  Benefits of aspect diversity for SAR ATR: fundamental and experimental results , 2000, SPIE Defense + Commercial Sensing.