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SAR signature analysis for TerraSAR-X-based ship monitoring

 
: Saur, G.; Teutsch, M.

:
Postprint urn:nbn:de:0011-n-1515020 (1.5 MByte PDF)
MD5 Fingerprint: 6624ae55ddfb886c816dc421908cce23
Copyright 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Created on: 3.2.2011


Bruzzone, L. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Image and Signal Processing for Remote Sensing XVI : 20.-23.09.2010, Toulouse, France
Bellingham, WA: SPIE, 2010 (Proceedings of SPIE 7830)
ISBN: 978-0-8194-8347-8
Paper 78301O
Conference "Image and Signal Processing for Remote Sensing" <16, 2010, Toulouse>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
SAR; TerraSAR-X; ship detection; screening; classification

Abstract
It is expected, that ship detection and classification in SAR satellite imagery will be part of future downstream services for various applications, e.g. surveillance of fishery zones or tracking of cargo ships. Due to the requirements of operational services and due to the potential of high resolution SAR (e.g. TerraSAR-X), there is a need for composing, optimization, and validation of specific fully automated image processing chains. The presented processing chain covers all steps from land masking, screening, object segmentation, feature extraction to classification and parameter estimation. The chain is base for experiments with both open sea and harbor scenes for ship detection and monitoring. Within this chain, a classification component for SAR ship and non-ship decision is investigated. Based on many extracted image features and numerous image chips for training and test, some promissing results are presented and discussed. Since the classification can reduce the false alarms of the screening component, the processing chain is expected to work on images with less good weather and signal conditions and to extract ships with lower reflexions.

: http://publica.fraunhofer.de/documents/N-151502.html