DocumentCode :
1577
Title :
A Multipolarization Analysis of Coastline Extraction Using X-Band COSMO-SkyMed SAR Data
Author :
Buono, Andrea ; Nunziata, Ferdinando ; Mascolo, Lucio ; Migliaccio, Maurizio
Author_Institution :
Dipt. di Ing., Univ. degli Studi di Napoli Parthenope, Naples, Italy
Volume :
7
Issue :
7
fYear :
2014
fDate :
Jul-14
Firstpage :
2811
Lastpage :
2820
Abstract :
In this study, COSMO-SkyMed (CSK) Synthetic Aperture Radar (SAR) data, collected by the single-polarization stripmap Himage mode, are exploited for coastline extraction purposes. First, a multipolarization analysis of sea surface backscattering is undertaken using the Improved Integral Equation Method (IIEM). Then, a simple two-step approach is proposed to extract the continuous coastline from co- and cross-polarized Himage CSK SAR data. The approach is framed into two steps: 1) obtaining a binary output from the SAR image using a global threshold Constant False Alarm Rate (CFAR) detector; and 2) extracting the continuous one-pixel coastline from the binary output with a conventional Sobel edge detector. The proposed approach is verified against actual CSK SAR data and it is shown to be both effective and accurate when low-to-moderate wind conditions apply.
Keywords :
backscatter; edge detection; geophysical image processing; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; CFAR detector; CSK synthetic aperture radar; Himage mode; IIEM; Improved Integral Equation Method; SAR image; Sobel edge detector; X-band COSMO-SkyMed SAR data; binary output; coastline extraction; continuous one-pixel coastline; global threshold Constant False Alarm Rate; multipolarization analysis; sea surface backscattering; single-polarization stripmap; wind conditions; Data mining; Image edge detection; Scattering; Sea measurements; Sea state; Sea surface; Synthetic aperture radar; Coastal areas; Synthetic Aperture Radar (SAR); coastline extraction;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2014.2320366
Filename :
6814285
Link To Document :
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