Title :
Companding of spectra from spectral images for reducing noise from coarse quantization
Author_Institution :
Dept. of Inf. Technol., Lappeenranta Univ. of Technol., Finland
Abstract :
Companding is normally used in communication systems to compensate fluctuating levels in the source power. In this study we apply companding to enhance the coarse quantization of spectra. The spectra are selected from AVIRIS spectral images. Our experiments indicate that the signal-to-noise ratio (SNR) in coarser quantization of spectra may be enhanced from 5 to 9 dB using the μ-law quantization companding.
Keywords :
compandors; infrared spectrometers; remote sensing; satellite communication; signal processing; visible spectrometers; μ-law quantization companding; AVIRIS spectral image; Airborne Visible Infrared Imaging Spectrometer; SNR; communication system; noise reduction; signal-to-noise ratio; source power fluctuating level compensation; spectra coarse quantization; Communication channels; Decoding; Image coding; Image reconstruction; Information technology; Noise reduction; Peak to average power ratio; Probability density function; Quantization; Transmitters;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369022
