Iceberg detection using full-polarimetric RADARSAT-2 SAR data in west antarctica

Jin Woo Kim, Duk Jin Kim, Seung-Hee Kim, Byonjun Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

In this study, detection of icebergs that have broken off from Wilkinson glacier in West Antarctica is carried out by extracting various polarimetric parameters from high resolution C-band fully polarimetric RADARSAT-2 SAR data. In the unsupervised H/A/alpha classification result, some of the icebergs (unclassified) in the SAR image with similar intensity of volume and surface scattering were classified as sea ice whereas most of the icebergs were correctly classified due to their dominant volume scattering. Although the average of polarimetric parameters extracted from unclassified icebergs and sea ice represented similar intensity measurements, [1-H][1-A] showed a statistical distribution result that clearly distinguishes between unclassified icebergs and sea ice. This shows that [1-H][1-A] can be an effective parameter in detecting icebergs.
Original languageEnglish
Title of host publication 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)
PublisherIEEE
Number of pages4
ISBN (Electronic)9788993246179
ISBN (Print)9781457713514
Publication statusPublished - Nov 2011
Externally publishedYes

Fingerprint

RADARSAT
iceberg
synthetic aperture radar
sea ice
scattering
statistical distribution
detection
Antarctica
glacier
parameter

Cite this

Kim, J. W., Kim, D. J., Kim, S-H., & Hwang, B. (2011). Iceberg detection using full-polarimetric RADARSAT-2 SAR data in west antarctica. In 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) IEEE.
Kim, Jin Woo ; Kim, Duk Jin ; Kim, Seung-Hee ; Hwang, Byonjun. / Iceberg detection using full-polarimetric RADARSAT-2 SAR data in west antarctica. 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2011.
@inproceedings{b961d3b819734e5d87e83d8082f25e58,
title = "Iceberg detection using full-polarimetric RADARSAT-2 SAR data in west antarctica",
abstract = "In this study, detection of icebergs that have broken off from Wilkinson glacier in West Antarctica is carried out by extracting various polarimetric parameters from high resolution C-band fully polarimetric RADARSAT-2 SAR data. In the unsupervised H/A/alpha classification result, some of the icebergs (unclassified) in the SAR image with similar intensity of volume and surface scattering were classified as sea ice whereas most of the icebergs were correctly classified due to their dominant volume scattering. Although the average of polarimetric parameters extracted from unclassified icebergs and sea ice represented similar intensity measurements, [1-H][1-A] showed a statistical distribution result that clearly distinguishes between unclassified icebergs and sea ice. This shows that [1-H][1-A] can be an effective parameter in detecting icebergs.",
author = "Kim, {Jin Woo} and Kim, {Duk Jin} and Seung-Hee Kim and Byonjun Hwang",
year = "2011",
month = "11",
language = "English",
isbn = "9781457713514",
booktitle = "2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)",
publisher = "IEEE",

}

Kim, JW, Kim, DJ, Kim, S-H & Hwang, B 2011, Iceberg detection using full-polarimetric RADARSAT-2 SAR data in west antarctica. in 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE.

Iceberg detection using full-polarimetric RADARSAT-2 SAR data in west antarctica. / Kim, Jin Woo; Kim, Duk Jin; Kim, Seung-Hee; Hwang, Byonjun.

2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Iceberg detection using full-polarimetric RADARSAT-2 SAR data in west antarctica

AU - Kim, Jin Woo

AU - Kim, Duk Jin

AU - Kim, Seung-Hee

AU - Hwang, Byonjun

PY - 2011/11

Y1 - 2011/11

N2 - In this study, detection of icebergs that have broken off from Wilkinson glacier in West Antarctica is carried out by extracting various polarimetric parameters from high resolution C-band fully polarimetric RADARSAT-2 SAR data. In the unsupervised H/A/alpha classification result, some of the icebergs (unclassified) in the SAR image with similar intensity of volume and surface scattering were classified as sea ice whereas most of the icebergs were correctly classified due to their dominant volume scattering. Although the average of polarimetric parameters extracted from unclassified icebergs and sea ice represented similar intensity measurements, [1-H][1-A] showed a statistical distribution result that clearly distinguishes between unclassified icebergs and sea ice. This shows that [1-H][1-A] can be an effective parameter in detecting icebergs.

AB - In this study, detection of icebergs that have broken off from Wilkinson glacier in West Antarctica is carried out by extracting various polarimetric parameters from high resolution C-band fully polarimetric RADARSAT-2 SAR data. In the unsupervised H/A/alpha classification result, some of the icebergs (unclassified) in the SAR image with similar intensity of volume and surface scattering were classified as sea ice whereas most of the icebergs were correctly classified due to their dominant volume scattering. Although the average of polarimetric parameters extracted from unclassified icebergs and sea ice represented similar intensity measurements, [1-H][1-A] showed a statistical distribution result that clearly distinguishes between unclassified icebergs and sea ice. This shows that [1-H][1-A] can be an effective parameter in detecting icebergs.

M3 - Conference contribution

SN - 9781457713514

BT - 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)

PB - IEEE

ER -

Kim JW, Kim DJ, Kim S-H, Hwang B. Iceberg detection using full-polarimetric RADARSAT-2 SAR data in west antarctica. In 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE. 2011