Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed data - Part II: Implementation and performance issues

IEEE Transactions on Geoscience and Remote Sensing

Volumn 42, Issue 5, 2004, Pages 932-940

  Shkvarko, Yuriy V ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

Bayesian estimation; Maximum entropy; Radar imaging; Regularization; Remote sensing; Spatial spectrum pattern; Sufficient statistics; Window operator

Indexed keywords

COMPUTER OPERATING SYSTEMS; DATA REDUCTION; IMAGING TECHNIQUES; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PATTERN RECOGNITION; RADAR IMAGING; SPECTRUM ANALYSIS;

BAYESIAN ESTIMATION; MAXIMUM ENTROPY; REGULARIZATION; SPATIAL SPECTRUM PATTERN; SUFFICIENT STATISTICS; WINDOW OPERATORS;

REMOTE SENSING;

EID: 2642537614     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2003.823279     Document Type: Article

References (15)

1. Y. V. Shkvarko, "Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed data. Part I Theory," IEEE Trans. Geosci. Remote Sensing, vol. 42, pp. 923-931, May 2004.
2. L. E. Franks, Signal Theory. Englewood Cliffs, NJ: Prentice-Hall, 1969.
3. E. Dadgeon and R. M. Merserau, Multidimensional Digital Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1984.
4. S. A. Hovanessian, Introduction to Sensor Systems. Norwood, MA: Artech House, 1988.
5. S. E. Falkovich, V. I. Ponomaryov, and Y. V. Shkvarko, Optimal Reception of Space-Time Signals in Channels with Scattering. Moscow, Russia: Radio i Sviaz, 1989. In Russian.
6. L. G. Cutrona, "Synthetic aperture radar," in Radar Handbook, 2nd ed, M. I. Skolnik, Ed, MA: McGraw-Hill, 1990.
7. D. R. Wehner, High-Resolution Radar, 2nd ed. Norwood, MA: Artech House, 1994.
8. M. G. Kang and A. K. Katsaggelos, "General choice of the regularization functional in regularized image reconstruction," IEEE Trans. Image Processing, vol. 4, pp. 594-602, Feb. 1995.
9. A. Mesarovic, N. P. Galatsanos, and A. K. Katsaggelos, "Regularized constrained total least squares image restoration," IEEE Trans. Image Processing, vol. 4, pp. 1096-1108, Feb. 1995.
10. F. M. Henderson and A. V. Lewis, Eds., Principles and Applications of Imaging Radar, Manual of Remote Sensing, 3rd ed. New York: Wiley, 1998, vol. 3.
11. G. Franceschetti and R. Lanari, Synthetic Aperture Radar Processing. Boca Raton, FL: CRC, 1999.
12. B. R. Mahafza, Radar Systems Analysis and Design Using MATLAB. Boca Raton, FL: CRC, 2000.
13. Y. V. Shkvarko, Y. S. Shmaliy, R. Jaime-Rivas, and M. Torres-Cisneros, "System fusion in passive sensing using a modified Hopfield network," J. Franklin Inst., vol. 338, pp. 405-427, June 2001.
14. Y. V. Shkvarko, "Estimation of wavefield power distribution in the remotely sensed environment: Bayesian maximum entropy approach," IEEE Trans. Signal Processing, vol. 50, pp. 2333-2346, Sept. 2002.
15. Yu. V. Shkvarko, J. L. Leyva-Montiel, and J. Acosta-Salas, "Modeling and simulation of the fused Bayesian-regularization method for remote sensing imagery with synthetic aperture arrays," in Proc. IEEE Ukraine Section Int. Conf. Antenna Theory Techniques Conf., vol. 1, Sevastopol, Ukraine, Sept. 2003, pp. 97-100.