Title
Determening the optimum compromise between SAR data compression and radiometric performance -An approach based on the analysis of TerraSAR -X data-
Abstract
Data compression is crucial for modern synthetic aperture radar systems where high resolution or large coverage may result in huge amounts of raw data. Modern satellite systems, such as TerraSAR-X, give complete flexibility in choosing between various compression levels. This, however, results in additional effort to decide on the suitable compression level used, which may depend on the operation mode, polarization, scene backscatter, etc. The paper describes the approach used in the case of TerraSAR-X and shows the result of analyzing the data acquired during the commissioning phase. The methology is considered novel in the sense that it combines SAR measured data analysis with theoretical, i.e. model based simulations, results and later combines theory and measured data to extract optimum compression levels.
Year
DOI
Venue
2008
10.1109/IGARSS.2008.4779294
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Keywords
Field
DocType
analogue-digital conversion,backscatter,data acquisition,data compression,geophysics computing,remote sensing by radar,synthetic aperture radar,SAR data,TerraSAR-X analysis,commissioning phase,data acquisition,data compression,operation mode,optimum compromise determination,polarization,satellite systems,scene backscatter,synthetic aperture radar systems
Data modeling,Computer vision,Computer science,Synthetic aperture radar,Data acquisition,Remote sensing,Signal-to-noise ratio,Backscatter,Raw data,Artificial intelligence,Quantization (signal processing),Data compression
Conference
Volume
ISBN
Citations 
3
978-1-4244-2808-3
1
PageRank 
References 
Authors
0.47
3
7
Name
Order
Citations
PageRank
Marwan Younis134761.72
Johannes Böer2203.26
Carlos Ortega-Miguez341.25
Daniel Schulze4446.38
Sigurd Huber512.16
Josef Mittermayer6624112.00
Ortega, C.781.19