Title :
Wavelet based speckle reduction with application to SAR based ATD/R
Author :
Guo, H. ; Odegard, J.E. ; Lang, M. ; Gopinath, R.A. ; Selesnick, I.W. ; Burrus, C.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Abstract :
The paper introduces a novel speckle reduction method based on thresholding 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. Both soft and hard thresholding schemes are studied and the results are compared. When fully polarimetric SAR images are available, the authors propose several approaches to combine the data from different polarizations to achieve even better performance. Wavelet processed imagery is shown to provide better detection performance for the synthetic-aperture radar (SAR) based automatic target detection/recognition (ATD/R) problem
Keywords :
image recognition; image resolution; interference suppression; polarimetry; radar detection; radar imaging; radar interference; radar polarimetry; radiofrequency interference; speckle; synthetic aperture radar; wavelet transforms; ATR; SAR based ATD/R; automatic target detection; automatic target recognition; detection performance; logarithmically transformed image; polarimetric SAR images; resolution; synthetic-aperture radar; thresholding; wavelet based speckle reduction; wavelet processed imagery; Computational efficiency; Image resolution; Object detection; Polarization; Radar detection; Radar imaging; Radar polarimetry; Speckle; Synthetic aperture radar; Wavelet coefficients;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413278