ASSESSMENT OF SIMULATED COMPACT POLARIMETRY OF THE HIGH RESOLUTION RADARSAT CONSTELLATION MISSION SAR MODE FOR MULTIYEAR AND FIRST YEAR SEA ICE CHARACTERIZATION

被引：0

作者：

Dabboor, Mohammed ^{[1
]}

Montpetit, Benoit ^{[2
]}

Howell, Stephen ^{[3
]}

机构：

[1] Govt Canada, Environm & Climate Change Canada, Meteorol Res Div, Ottawa, ON, Canada

[2] Govt Canada, Environm & Climate Change Canada, Wildlife & Landscape Sci Div, Ottawa, ON, Canada

[3] Govt Canada, Environm & Climate Change Canada, Climate Res Div, Ottawa, ON, Canada

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

RCM; compact polarimetric SAR; sea ice;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Synthetic Aperture Radar (SAR) remote sensing has become a valuable tool for sea ice characterization. Operational sea ice monitoring usually relies on SAR data from single-or dual-polarized beam modes such as the ScanSAR mode of RADARSAT-2. However, such imagery cannot accurately discriminate certain sea ice types and open water states at all times during the year. Thus, the recently proposed compact polarimetric (CP) SAR configuration for Earth observation could be a compromised choice for operational sea ice observation. This configuration will be included in the future RADARSAT Constellation Mission (RCM). In this study, simulated CP SAR data of the RCM High Resolution (HR) SAR mode is evaluated for sea ice classification. Results indicate promising performance of the RCM HR mode for First Year Ice (FYI) and Multiyear Ice (MYI) classification using CP SAR data.

引用

页码：2420 / 2423

页数：4

共 5 条

[1] [Anonymous], 1973, Pattern Classification and Scene Analysis
[2] Charbonneau F. J., 2014, CANADIAN J REMOTE SE, V36, pS298
[3] Towards sea ice classification using simulated RADARSAT Constellation Mission compact polarimetric SAR imagery
Dabboor, M.
Geldsetzer, T.
[J]. REMOTE SENSING OF ENVIRONMENT, 2014, 140 : 189 - 195
[4] Dabboor M., 2017, REMOTE SENSING, V9, P1
[5] Seguin G., 2009, P IEEE INT GEOSC REM, pII

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