Title :
Compression of synthetic aperture radar video phase history data using trellis-coded quantization techniques
Author :
Owens, James W. ; Marcellin, Michael W. ; Hunt, Bobby R. ; Kleine, Marvin
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fDate :
3/1/1999 12:00:00 AM
Abstract :
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
Keywords :
data compression; geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; trellis codes; vector quantisation; SAR; data compression; downlink data rate; geophysical measurement technique; land surface; low bit-error sensitivity; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; trellis-coded quantization; trellis-coded vector quantization; video phase history; Aperture antennas; History; Image coding; Quantization; Radar antennas; Radar imaging; Radar remote sensing; Synthetic aperture radar; Transmitting antennas; Video compression;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
