elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

Image Content Dependent Compression of SAR Data

Benz, U. and Fischer, J. and Jäger, G. (2000) Image Content Dependent Compression of SAR Data. In: SBOT 2000 Proceedings. SBOT 2000, Samos/Greece, 16.-18.10.2000.

Full text not available from this repository.

Abstract

Data rate and amount of SAR data exceed the capacity of usual data links and storage devices in most cases. SAR data compression is necessary to ensure efficient use of acquired data and processed images. Unfortunately, lossless compression is not possible for SAR data due to their high entropy. However, it is of major importance that no SAR applications suffer from data compression. There are several strategies: 1) nearly lossless data compression with a very high overall and local performance: Quantization errors do not exceed a certain (small) value for any objects in the image, the drawback is, of course, the only small compression ratio; 2) data compression adaptive to the image contents a) The coder uses more bits to quantize coefficients of regions with high activity compared to those of more homogeneous regions. For example, in SAR images point targets and edges are treated separately from the other image parts. This procedure allows a medium overall compression ratio and gives a homogeneous error distribution over the whole image. b) The coder uses more bits for regions of interest. Whereas methods 1 and 2a allow any application on the decompressed SAR data without loss in performance, method 2b gives the opportunity to adapt compression to a specific application and a very high compression ratio can be achieved. In this paper we propose the combination of these methods to take optimal advantage of the whole SAR system consisting of the SAR sensor itself, the network of ground stations with high computational archiving resources and clients with usually limited computational power and low capacity links.

Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=2000,
Title:Image Content Dependent Compression of SAR Data
Authors:
AuthorsInstitution or Email of Authors
Benz, U.UNSPECIFIED
Fischer, J.UNSPECIFIED
Jäger, G.UNSPECIFIED
Date:2000
Journal or Publication Title:SBOT 2000 Proceedings
Status:Published
Keywords:Synthetic Aperture Radar (SAR), SAR image compression, nearly lossless data compression, adaptive to image contents, FLECS, client, server, SAR sensor, classification
Event Title:SBOT 2000, Samos/Greece, 16.-18.10.2000
Organizer:NATO
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Deposited By: elib DLR-Beauftragter
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 19:34

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.