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Incidence angle Normalization of Wide Swath SAR Data for Oceanographic Applications

Topouzelis, Konstantinos and Singha, Suman and Kitsiou, Dimitra (2016) Incidence angle Normalization of Wide Swath SAR Data for Oceanographic Applications. Open Geosciences, 8 (1), pp. 450-464. de Gruyter. DOI: 10.1515/geo-2016-0029 ISSN 2391-5447

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Official URL: http://dx.doi.org/10.1515/geo-2016-0029

Abstract

A backscattering trend in the range direction of the signal received by Synthetic Aperture Radar (SAR) in Wide Swath (WS) mode results in a progressive reduction of brightness over images from near to far range, which affects the detection and classification of sea surface features on wide swath SARimages. The aim of the present paper is to investigate methods for limiting the issue of Normalized Radar Cross-Section (NRCS or 0) variation due to the incidence angle. Two sensor independent functions are investigated: a theoretical backscattering shape function derived from a minimum wind speed and an empirical range fit of NRCS against incidence angle . The former method exploits only the modeled NRCS values while the latter only the image content. The results were compared with the squared cosine correction, the most widely applied method for normalization, using six newly developed comparison factors. The results showed that the cosine squared normalization has the lowest efficiency while the proposed methods have similar behaviors and comparable results. Nevertheless, after the log-transformation and summation of the comparison factors, it was clearly shown that theoretical normalization performance is superior to the empirical one since it has the highest accuracy and requires less computational time.

Item URL in elib:https://elib.dlr.de/105513/
Document Type:Article
Title:Incidence angle Normalization of Wide Swath SAR Data for Oceanographic Applications
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Topouzelis, Konstantinostopouzelis (at) marine.aegean.grUNSPECIFIED
Singha, SumanSuman.Singha (at) dlr.dehttps://orcid.org/0000-0002-1880-6868
Kitsiou, DimitraDepartment of Marine Sciences, School of the Environment, University of the Aegean, University Hill, 81100, Mytilini, Lesvos Island, GreeceUNSPECIFIED
Date:26 July 2016
Journal or Publication Title:Open Geosciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:8
DOI :10.1515/geo-2016-0029
Page Range:pp. 450-464
Publisher:de Gruyter
ISSN:2391-5447
Status:Published
Keywords:SAR, Ocean; Oceanic Phenomena Recognition; ASAR; Normalized Radar Cross Section
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:01 Aug 2016 16:18
Last Modified:08 Mar 2018 18:39

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