Title :
Effect of compression on physical parameters derived from polar ice radiances
Author :
Germain, K. M St ; Sayood, K.
Author_Institution :
Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
Abstract :
This study presents a comparison of the results of three different compression schemes when applied to remotely sensed Arctic radiance images. Images obtained via the Special Sensor Microwave/Imager (SSM/I) are compressed using three different compression schemes at varying levels of compression and are evaluated using the ice concentration and ice type derived from the radiance values as metrics. The results show that the DRIQ compression scheme consistently performed better than the MRVQ and DCAVQ algorithms
Keywords :
data compression; geophysical signal processing; image coding; microwave measurement; oceanographic techniques; radiometry; remote sensing; sea ice; submillimetre wave measurement; vector quantisation; DCAVQ; DRIQ; EHF; MRVQ; SHF; SSM/I; Special Sensor Microwave/Imager; algorithm; compression scheme; data compression; ice concentration; ice type; image compression; measurement technique; microwave radiometry; millimetre radiometry; mm wave; ocean; physical parameters; polar ice radiance; remote sensing; sea ice; sea surface; vector quantisation; vector quantization; Arctic; Compression algorithms; Image coding; Image sensors; Microwave sensors; Ocean temperature; Polarization; Remote monitoring; Remote sensing; Sea ice;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516555
