SAR image target extraction based on 2-D leapfrog filtering

This paper reveals that the classical R-D imaging algorithm can not remove the strong noise and extract the objects in R-D imaging image by their range and azimuth matching filters. Though 2-D DCT-DWT or 2-D DFT-DWT can be a 2-D filtering for the issue, while the algorithms need huge computation amount, they can not process SAR image real time. To solve the problem, this paper develops a new 2-D filtering algorithm based on 2-D leapfrog filter, which is good at extracting the SAR image target clearly. The 2-D recursive filter is of few multiplications for SAR image each pixel to realize fast and real-time image filtering. Practical experiments of SAR image processing have shown that the approach and algorithm are correct, effective and pragmatical.

[1]  Fawwaz T. Ulaby,et al.  SAR speckle reduction using wavelet denoising and Markov random field modeling , 2002, IEEE Trans. Geosci. Remote. Sens..

[2]  Yu Wen-zhen Study on the Jamming of SAR Point Target , 2006 .

[3]  Wu Yi-rong The Scatter-Wave Jamming to SAR , 2002 .

[4]  J. Vihonen,et al.  New detection algorithm for poor signal-to-noise conditions , 2003, Proceedings of the 2003 IEEE Radar Conference (Cat. No. 03CH37474).

[5]  Alin Achim,et al.  SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling , 2003, IEEE Trans. Geosci. Remote. Sens..

[6]  Richard Bamler,et al.  A comparison of range-Doppler and wavenumber domain SAR focusing algorithms , 1992, IEEE Trans. Geosci. Remote. Sens..

[7]  Haipeng Wang,et al.  Interlook cross-correlation function of speckle in SAR images of sea surface processed with partially overlapped subapertures , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Du Xiyu,et al.  Realization of 2-dimensional (2-D) leapfrog digital filters , 1991, China., 1991 International Conference on Circuits and Systems.