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Volume 28 Issue 1
Sep.  2010
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Sun Ming, Li Chun-sheng. An Adaptively Weighted Method Based Approach for Data Compression of Complex-Valued SAR Images in Frequency Domain[J]. Journal of Electronics & Information Technology, 2006, 28(1): 12-15.
Citation: Sun Ming, Li Chun-sheng. An Adaptively Weighted Method Based Approach for Data Compression of Complex-Valued SAR Images in Frequency Domain[J]. Journal of Electronics & Information Technology, 2006, 28(1): 12-15.

An Adaptively Weighted Method Based Approach for Data Compression of Complex-Valued SAR Images in Frequency Domain

  • Received Date: 2004-07-21
  • Rev Recd Date: 2005-03-16
  • Publish Date: 2006-01-19
  • In this paper, an adaptively weighed method based approach is proposed for data compression of complex-valued SAR images in frequency domain. Based on the conventional compression algorithm in frequency domain, the improved approach adopts an adaptively weighed method and preserves the characteristic of the raw SAR images well at low compression ratio (20:1). It proves the efficiency of the improved approach for data compression of complex-valued SAR images through evaluating complex spatial correlation coefficient, comparing the amplitude images of raw data and decompressed data, and displaying the correlation map visually.
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  • Ives R W, Magotra N, Kiser C. Wavelet compression of complex SAR imagery using complex- and real-valued wavelets: a comparative study[J].Thirty-Second Asilomar Conference. Signals, Systems Computers.1998, 2 (11):12941298-[4]Eichel P, Ives R W. Compression of complex-valued SAR images[J].IEEE Trans. Image Processing.1999, 8 (10):1483-[5]Jakowatz C V, Thompson P A. A new look at spotlight mode synthetic aperture radar as tomography: Image three-dimensional targets[J].IEEE Trans. on Image Processing.1995, 4(5):699-
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