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Title: Experiments with wavelets for compression of SAR data

Journal Article · · IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States)
DOI:https://doi.org/10.1109/36.285202· OSTI ID:7226447
; ;  [1]
  1. Environmental Research Inst. of Michigan, Ann Arbor, MI (United States)

Synthetic aperture radar (SAR) is an active coherent all-weather imaging system that operates in the microwave region of the spectrum. This imagery has many possible uses, such as in surveillance, oceanography, glaciology, and agriculture. Wavelet transform coding is shown to be an effective method for compression of both detected and complex synthetic aperture radar (SAR) imagery. Three different orthogonal wavelet transform filters are examined for use in SAR data compression; the performances of the filters are correlated with mathematical properties such as regularity and number of vanishing moments. Excellent quality reconstructions are obtained at data rates as low as 0.25 bpp for detected data and as low as 0.5 bits per element (or 2 bpp) for complex data.

OSTI ID:
7226447
Journal Information:
IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States), Vol. 32:1; ISSN 0196-2892
Country of Publication:
United States
Language:
English