Target recognition based on directional filter banks and higher-order neural networks

Digital Signal Processing: A Review Journal

Volumn 10, Issue 4, 2000, Pages 297-308

  Park, Sang Il ^a   Smith, Mark J T ^b   Mersereau, Russell M ^b  

^a MOTOROLA INC   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL FILTERS; DIGITAL SIGNAL PROCESSING; NEURAL NETWORKS; RADAR IMAGING; SYNTHETIC APERTURE RADAR;

DIRECTIONAL FILTER BANKS; HIGHER-ORDER NEURAL NETWORKS (HONN);

RADAR TARGET RECOGNITION;

EID: 0034301492     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1006/dspr.2000.0376     Document Type: Article

References (17)

1. Bamberger R. H. New results on two and three dimensional directional filter banks. Twenty-Seventh Asilomar Conference on Signals, Systems and Computers. 1993;. p. 1286-1290.
2. Bamberger R. H., Smith M. J.T. A filter bank for the directional decomposition of images: Theory and design. IEEE Trans. Signal Process. 40:1992;882-893.
3. Wright Laboratory's Algorithm Integration Branch, Public MSTAR targets: T-72, BMP-2, BTR-70, SLICY SAR image database. Available at, http://www.mbvlab.wpafb.af.mil/public/MBVDATA .
4. Freeman W. T., Adelson E. H. The design and use of steerable filters. IEEE Trans. Pattern Anal. Mach. Intell. 13:1991;891-906.
5. Gile G., Maxwell T. Learning, invariances, and generalization in high-order neural networks. Appl. Optics. 26:1987;4972-4978.
6. Park S. i., Smith M. J.T., Mersereau R. M. A new directional filter bank for image analysis and classfication. IEEE International Conference on Acoustics, Speech, and Signal Processing. 1999;. p. 1417-1420.
7. Jain A. K. Fundamentals of Digital Image Processing. 1989;Prentice-Hall, Englewood Cliffs.
8. Kottke D. P., Fwu J. K., Brown K. A design for HMM-based SAR ATR. Proc. of the SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery V. April 1998;. p. 541-551.
9. Kottke, D. P. and, Fwu, J.-K, Multi-class SAR image segmentation for target recognition, Advanced Sensers Consortium Quarterly Report of FED LABS, June 1997.
10. Mujica F., Park S., Smith M. J.T., Murenzi R. Efficient 3-D filter banks for motion estimation. The 3rd International Conference on Dynamic Systems and Applications. 1999.
11. Nilubol C., Mersereau R. M., Smith M. J.T. An improved hidden Markov model classifier for SAR images. Proc. of the the SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition VIII. April 1999.
12. Park S., Smith M. J.T., Mersereau R. M. Automatic recognition of sar targets using directional filter banks and higher-order neural networks. Proc. of the SPIE Conference on Automatic Target Recognition IX. April 1999;. p. 118-125.
13. Pham Q. H., Brosnan T. M., Smith M. J.T., Mersereau R. M. Efficient end-to-end feature-based system for SAR ATR. Proc. of the Conference on Algorithms for Synthetic Aperture Radar Imagery V. April 1998;. p. 519-529.
14. Smith M. J.T., Eddins S. L. Analysis/synthesis techniques for subband image coding. IEEE Trans. on Acoustics, Speech and Signal Processing. 38:August 1990;1446-1456.
15. Spirkovska L., Reid M. B. Coarse-coded higher-order neural networks for PSRI object recognition. IEEE Trans. Neural Networks. 4:1993;276-283.
16. Theera-Umpon N., Khabou M. A., Gader P. D., Keller J. M., Shi H., Li H. Detection and classification of MSTAR objects via morphological shared-weight neural networks. Proc. of the SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery V. April 1998;. p. 530-540.
17. Vaidyanathan P. P. Multirate Systems and Filter Banks. 1993;Prentice-Hall, Englewood Cliffs.