A variable bit rate coding scheme designed for new generation SAR satellites is presented. This coding is based on previous schemes of Block Adaptive Quantizer (BAQ) [1] and is intended as a possible improvement over Sentinel-1 FDBAQ [3,4]. In this project, the number of quantizers is considered a design choice and the optimization is carried out looking for a set of reflectivity classes in which partition all the imaged areas on the Earth. Superior performances to those envisaged for Sentinel-1 FDBAQ are obtained in terms of SNR vs. average rate. Results come from simulations based on a 16-bit mosaic of C band reflectivity obtained by ESRIN from ENVISAT GM data [6] and Wien University database of ENVISAT WSM radar reflectivity [10].
Optimal Block Quantization for SAR data / Guccione, Pietro; Cafforio, Ciro; Guarnieri, Am. - (2010), pp. 348-353. (Intervento presentato al convegno IEEE International Radar Conference 2010, RADAR 2010 tenutosi a Washington DC, USA nel May 10-14, 2010) [10.1109/RADAR.2010.5494597].
Optimal Block Quantization for SAR data
GUCCIONE, Pietro;CAFFORIO, Ciro;
2010-01-01
Abstract
A variable bit rate coding scheme designed for new generation SAR satellites is presented. This coding is based on previous schemes of Block Adaptive Quantizer (BAQ) [1] and is intended as a possible improvement over Sentinel-1 FDBAQ [3,4]. In this project, the number of quantizers is considered a design choice and the optimization is carried out looking for a set of reflectivity classes in which partition all the imaged areas on the Earth. Superior performances to those envisaged for Sentinel-1 FDBAQ are obtained in terms of SNR vs. average rate. Results come from simulations based on a 16-bit mosaic of C band reflectivity obtained by ESRIN from ENVISAT GM data [6] and Wien University database of ENVISAT WSM radar reflectivity [10].I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
