Title :
Improved automatic target recognition using singular value decomposition
Author :
Bhatnagar, Vijay ; Shaw, Arnab K. ; Williams, Rob W.
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
A new algorithm is presented for automatic target recognition (ATR) where the templates are obtained via singular value decomposition (SVD) of high range resolution (HRR) profiles. SVD analysis of a large class of HRR data reveals that the range-space eigenvectors corresponding to the largest singular value accounts for more than 90% of the target energy. Hence, it is proposed that the range-space eigenvectors be used as templates for classification. The effectiveness of data normalization and Gaussianization of profile data for improved classification performance is also studied. With extensive simulation studies it is shown that the proposed eigen-template based ATR approach provides consistent superior performance with the recognition rate reaching 99.5% for the four class XPATCH database
Keywords :
Gaussian processes; eigenvalues and eigenfunctions; image classification; image resolution; radar imaging; radar target recognition; singular value decomposition; synthetic aperture radar; Gaussian profile data; SAR; SVD; algorithm; automatic target recognition; classification performance; data normalization; four class XPATCH database; ground targets imaging; high range resolution profiles; moving target indicator; range-space eigenvectors; recognition rate; simulation studies; singular value decomposition; synthetic aperture radar; target energy; Energy resolution; Gaussian processes; Image databases; Laboratories; Object detection; Singular value decomposition; Surveillance; Synthetic aperture radar; Target recognition; Testing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.678084
