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Compression of synthetic aperture radar video phase history data using trellis-coded quantization techniques

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4 Author(s)
Owens, J.W. ; Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA ; Marcellin, M.W. ; Hunt, B.R. ; Kleine, M.

Synthetic aperture radar (SAR) is a remote-sensing technology that uses the motion of the radar transmitter to synthesize an antenna aperture much larger than the actual antenna aperture to yield high-spatial resolution radar images. In this paper, trellis-coded quantization (TCQ) techniques are shown to provide a high-performance, low bit-error sensitivity solution to the problem of downlink data rate reduction for SAR systems. Trellis-coded vector quantization (TCVQ) and universal TCQ coding systems are discussed, implemented, and compared with other data compression schemes [block adaptive quantization (BAQ) and VQ] that can be used to compress SAR phase history data

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:37 ,  Issue: 2 )