Title :
On-board encoding of the ENVISAT wave mode data
Author :
McLeod, I.H. ; Cumming, I.G.
Author_Institution :
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
Abstract :
The synthetic aperture radar sensor on the ENVISAT remote sensing satellite will utilize a data reduction system called Flexible Block Adaptive Quantization (FBAQ). This technology will allow the 8 bits/sample SAR signal data to be reduced to 4, 3, or 2 bits/sample, as specified by the mission controller. For wave mode operation, in which small SAR “vignettes” are acquired over oceanic regions, the 8 to 2 bits/sample mode of FBAQ must be employed due to on-board storage limitations. The authors quantitatively evaluate the effect of the FBAQ data reduction on the power spectra of the vignettes, obtained using ESA wave mode processing methods. Using ERS-1 SAR signal data modified to reflect the properties of ENVISAT SAR data, the authors show that the use of the 2-bit FBAQ algorithm will yield power spectra results better than those currently available from ERS-1, with the degree of improvement dependent on the distribution shape of the SAR signal data and the radiometric variation within the vignette
Keywords :
adaptive codes; adaptive signal processing; geophysical signal processing; image coding; ocean waves; oceanographic techniques; quantisation (signal); radar imaging; radar signal processing; remote sensing by radar; spaceborne radar; synthetic aperture radar; ENVISAT; ENVISAT wave mode data; FBAQ; Flexible Block Adaptive Quantization; SAR image processing; adaptive signal processing; algorithm; data compression; data reduction; geophysical measurement technique; image coding; ocean wave; onboard encoding; radar imaging; radar remote sensing; remote sensing satellite; sea surface; spaceborne radar; synthetic aperture radar; vignette; Encoding; Image reconstruction; Marine technology; Oceans; Quantization; Remote sensing; Satellite broadcasting; Sea measurements; Sensor systems; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.523995