Title :
Data volume reduction for single-look polarimetric imaging radar data
Author :
Van Zyl, Jakob J. ; Burnette, Charles F.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fDate :
9/1/1991 12:00:00 AM
Abstract :
An 8-b quantization scheme to reduce the data volume for single-look complex scattering matrix data measured by polarimetric imaging radar systems is described. The scattering matrices are not symmetrized before compression, thereby retaining information about background noise and system effects. The data volume is reduced by a factor of 3.2. It is shown, with measured data, that the signal to quantization noise ratio for the compression scheme is more than 35 dB for the cross-polarized channels, and more than 45 dB for the copolarized channels
Keywords :
data compression; radar theory; remote sensing by radar; 8 bit; background noise; copolarized channels; cross-polarized channels; data compression scheme; quantization scheme; signal to quantization noise ratio; single-look complex scattering matrix data; single-look polarimetric imaging radar data; system effects; Background noise; Compression algorithms; Data compression; Noise measurement; Propulsion; Quantization; Radar imaging; Radar measurements; Radar polarimetry; Radar scattering; Signal to noise ratio; Symmetric matrices; Volume measurement;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
