Speckle Reduction via Wavelet Shrinkage with Application 
		     to SAR based ATD/R

         H. Guo, J. E. Odegard, M. Lang, R. A. Gopinath, 
	        I. W. Selesnick, C. S. Burrus
  Department of Electrical and Computer Engineering - MS366
           Rice University, Houston, TX-77251


			ABSTRACT

We propose a  novel speckle reduction method based on shrinking the
wavelet coefficients of the logarithmically transformed image. The
method is computational efficient and can significantly reduce the
speckle while preserving the resolution  of the original image. 
Wavelet processed imagery is shown to provide better detection
performance for synthetic-aperture radar(SAR) based automatic target
detection/recognition(ATD/R) problem.