Articles | Volume 10, issue 1
https://doi.org/10.5194/tc-10-401-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-401-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Feb 2016
Research article |
| 17 Feb 2016
Late-summer sea ice segmentation with multi-polarisation SAR features in C and X band
Ane S. Fors
CORRESPONDING AUTHOR
Department of Physics and Technology, University of Tromsø – the Arctic University of Norway, 9037 Tromsø, Norway
Camilla Brekke
Department of Physics and Technology, University of Tromsø – the Arctic University of Norway, 9037 Tromsø, Norway
Anthony P. Doulgeris
Department of Physics and Technology, University of Tromsø – the Arctic University of Norway, 9037 Tromsø, Norway
Torbjørn Eltoft
Department of Physics and Technology, University of Tromsø – the Arctic University of Norway, 9037 Tromsø, Norway
Angelika H. H. Renner
Institute of Marine Research, 9294 Tromsø, Norway
Sebastian Gerland
Norwegian Polar Institute, FRAM Centre, 9296 Tromsø, Norway
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Cited
12 citations as recorded by crossref.
- A Multiscale Dual Attention Network for the Automatic Classification of Polar Sea Ice and Open Water Based on Sentinel-1 SAR Images Z. Zhang et al. 10.1109/JSTARS.2024.3354912
- Deep Semisupervised Teacher–Student Model Based on Label Propagation for Sea Ice Classification S. Khaleghian et al. 10.1109/JSTARS.2021.3119485
- Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks S. Khaleghian et al. 10.3390/rs13091734
- Melt Season Arctic Sea Ice Type Separability Using Fully and Compact Polarimetric C- and L-Band Synthetic Aperture Radar A. Tavri et al. 10.1080/07038992.2023.2271578
- Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR H. Han et al. 10.1080/15481603.2020.1767857
- 风云气象卫星光学遥感数据的智能处理与典型应用综述（特邀） 罗. Luo Chuyao et al. 10.3788/AOS241175
- Combining TerraSAR-X and time-lapse photography for seasonal sea ice monitoring: the case of Deception Bay, Nunavik S. Dufour-Beauséjour et al. 10.5194/tc-14-1595-2020
- Tenuous Correlation between Snow Depth or Sea Ice Thickness and C- or X-Band Backscattering in Nunavik Fjords of the Hudson Strait S. Dufour-Beauséjour et al. 10.3390/rs13040768
- Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks H. Boulze et al. 10.3390/rs12132165
- Signature of Arctic first-year ice melt pond fraction in X-band SAR imagery A. Fors et al. 10.5194/tc-11-755-2017
- Investigation of Polarimetric Decomposition for Arctic Summer Sea Ice Classification Using Gaofen-3 Fully Polarimetric SAR Data L. He et al. 10.1109/JSTARS.2022.3170732
- ExtremeEarth Meets Satellite Data From Space D. Hagos et al. 10.1109/JSTARS.2021.3107982
12 citations as recorded by crossref.
- A Multiscale Dual Attention Network for the Automatic Classification of Polar Sea Ice and Open Water Based on Sentinel-1 SAR Images Z. Zhang et al. 10.1109/JSTARS.2024.3354912
- Deep Semisupervised Teacher–Student Model Based on Label Propagation for Sea Ice Classification S. Khaleghian et al. 10.1109/JSTARS.2021.3119485
- Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks S. Khaleghian et al. 10.3390/rs13091734
- Melt Season Arctic Sea Ice Type Separability Using Fully and Compact Polarimetric C- and L-Band Synthetic Aperture Radar A. Tavri et al. 10.1080/07038992.2023.2271578
- Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR H. Han et al. 10.1080/15481603.2020.1767857
- 风云气象卫星光学遥感数据的智能处理与典型应用综述（特邀） 罗. Luo Chuyao et al. 10.3788/AOS241175
- Combining TerraSAR-X and time-lapse photography for seasonal sea ice monitoring: the case of Deception Bay, Nunavik S. Dufour-Beauséjour et al. 10.5194/tc-14-1595-2020
- Tenuous Correlation between Snow Depth or Sea Ice Thickness and C- or X-Band Backscattering in Nunavik Fjords of the Hudson Strait S. Dufour-Beauséjour et al. 10.3390/rs13040768
- Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks H. Boulze et al. 10.3390/rs12132165
- Signature of Arctic first-year ice melt pond fraction in X-band SAR imagery A. Fors et al. 10.5194/tc-11-755-2017
- Investigation of Polarimetric Decomposition for Arctic Summer Sea Ice Classification Using Gaofen-3 Fully Polarimetric SAR Data L. He et al. 10.1109/JSTARS.2022.3170732
- ExtremeEarth Meets Satellite Data From Space D. Hagos et al. 10.1109/JSTARS.2021.3107982
Saved (preprint)
Latest update: 23 Nov 2024
Short summary
This paper demonstrates how sea ice segmentation using high-resolution multi-polarisation synthetic aperture radar (SAR) can be used to retrieve valuable information about sea ice type during late summer. It adds knowledge to how choice of SAR features influence the information gain and highlights the sea ice segmentation capability of both the C and X band in late summer. The study contributes to an increased understanding of sea ice mapping and monitoring with SAR in the melt season.
This paper demonstrates how sea ice segmentation using high-resolution multi-polarisation...
