Articles | Volume 7, issue 6
https://doi.org/10.5194/tc-7-1693-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/tc-7-1693-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Nov 2013
Research article |
| 07 Nov 2013
Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts
M. -A. N. Moen
Department of Physics and Technology, University of Tromsø, 9037 Tromsø, Norway
A. P. Doulgeris
Department of Physics and Technology, University of Tromsø, 9037 Tromsø, Norway
S. N. Anfinsen
Department of Physics and Technology, University of Tromsø, 9037 Tromsø, Norway
A. H. H. Renner
Norwegian Polar Institute, FRAM Centre, 9296 Tromsø, Norway
N. Hughes
Norwegian Ice Service, Norwegian Meteorological Institute, 9293 Tromsø, Norway
S. Gerland
Norwegian Polar Institute, FRAM Centre, 9296 Tromsø, Norway
T. Eltoft
Department of Physics and Technology, University of Tromsø, 9037 Tromsø, Norway
Northern Research Institute, 9294 Tromsø, Norway
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47 citations as recorded by crossref.
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- Evaluation of a Neural Network With Uncertainty for Detection of Ice and Water in SAR Imagery N. Asadi et al. 10.1109/TGRS.2020.2992454
- Automatic and Accurate Extraction of Sea Ice in the Turbid Waters of the Yellow River Estuary Based on Image Spectral and Spatial Information H. Qiu et al. 10.3390/rs14040927
- Assessment of RISAT-1 and Radarsat-2 for Sea Ice Observations from a Hybrid-Polarity Perspective M. Espeseth et al. 10.3390/rs9111088
- The Dynamic Processes of Sea Ice on the East Coast of Antarctica—A Case Study Based on Spaceborne Synthetic Aperture Radar Data from TerraSAR-X H. Liu et al. 10.1109/JSTARS.2015.2497355
- Late Summer Arctic Sea Ice Surface Roughness Signatures in C-Band SAR Data A. Fors et al. 10.1109/JSTARS.2015.2504384
- X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring A. Johansson et al. 10.1016/j.rse.2017.10.032
- Eastern Arctic Sea Ice Sensing: First Results from the RADARSAT Constellation Mission Data H. Lyu et al. 10.3390/rs14051165
- Late-summer sea ice segmentation with multi-polarisation SAR features in C and X band A. Fors et al. 10.5194/tc-10-401-2016
- Mapping sea-ice types from Sentinel-1 considering the surface-type dependent effect of incidence angle J. Lohse et al. 10.1017/aog.2020.45
- Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning C. Baumhoer et al. 10.3390/rs11212529
- Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data With a U-Net and Curriculum Learning K. Radhakrishnan et al. 10.1109/JSTARS.2021.3076109
- Multi-Featured Sea Ice Classification with SAR Image Based on Convolutional Neural Network H. Wan et al. 10.3390/rs15164014
- Estimation of Level and Deformed First-Year Sea Ice Surface Roughness in the Canadian Arctic Archipelago from C- and L-Band Synthetic Aperture Radar S. Cafarella et al. 10.1080/07038992.2019.1647102
- Southern Ocean ice charts at the Argentine Naval Hydrographic Service and their impact on safety of navigation A. Scardilli et al. 10.3389/fmars.2022.971894
- Incident Angle Dependence of Sentinel-1 Texture Features for Sea Ice Classification J. Lohse et al. 10.3390/rs13040552
- Sea Ice Concentration Estimation during Freeze-Up from SAR Imagery Using a Convolutional Neural Network L. Wang et al. 10.3390/rs9050408
- Assessing polarimetric SAR sea-ice classifications using consecutive day images M. Moen et al. 10.3189/2015AoG69A802
- Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images N. Zakhvatkina et al. 10.5194/tc-11-33-2017
- Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features M. Jiang et al. 10.1109/JSTARS.2022.3205849
- Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data K. Blix et al. 10.1109/TGRS.2020.3022461
- Automatic Sea-Ice Classification of SAR Images Based on Spatial and Temporal Features Learning W. Song et al. 10.1109/TGRS.2020.3049031
- Investigation into Different Polarimetric Features for Sea Ice Classification Using X-Band Synthetic Aperture Radar R. Ressel et al. 10.1109/JSTARS.2016.2539501
- Analysis on the Effects of SAR Imaging Parameters and Environmental Conditions on the Standard Deviation of the Co-Polarized Phase Difference Measured over Sea Surface A. Buono et al. 10.3390/rs11010018
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- 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
- Evaluation of Modified Reflection Symmetry Decomposition Polarization Features for Sea Ice Classification T. Lan et al. 10.3390/rs17091584
- An Optimal Decision-Tree Design Strategy and Its Application to Sea Ice Classification from SAR Imagery J. Lohse et al. 10.3390/rs11131574
- 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
- Is Radar Phase Information Useful for Sea Ice Detection in the Marginal Ice Zone? F. Ding et al. 10.3390/rs12111847
- The MET Norway Ice Service: a comprehensive review of the historical and future evolution, ice chart creation, and end user interaction within METAREA XIX W. Copeland et al. 10.3389/fmars.2024.1400479
- Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland S. Singha & R. Ressel 10.1109/JSTARS.2017.2691258
- Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data A. Gegiuc et al. 10.5194/tc-12-343-2018
- Semi-Automated Classification of Lake Ice Cover Using Dual Polarization RADARSAT-2 Imagery J. Wang et al. 10.3390/rs10111727
- Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study L. Wang et al. 10.1109/TGRS.2016.2543660
- Optimal Compact Polarimetric Parameters and Texture Features for Discriminating Sea Ice Types during Winter and Advanced Melt S. Nasonova et al. 10.1080/07038992.2018.1527683
- ExtremeEarth Meets Satellite Data From Space D. Hagos et al. 10.1109/JSTARS.2021.3107982
- Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys J. Negrel et al. 10.1017/aog.2020.61
- Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks S. Khaleghian et al. 10.3390/rs13091734
- Arctic Sea Ice and Open Water Classification From Spaceborne Fully Polarimetric Synthetic Aperture Radar Y. Lu et al. 10.1109/TGRS.2023.3266158
- Signature of Arctic first-year ice melt pond fraction in X-band SAR imagery A. Fors et al. 10.5194/tc-11-755-2017
- Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity W. Guo et al. 10.5194/tc-16-237-2022
- Combined observations of Arctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements A. Johansson et al. 10.1002/2016JC012273
- Assessment of the High Resolution SAR Mode of the RADARSAT Constellation Mission for First Year Ice and Multiyear Ice Characterization M. Dabboor et al. 10.3390/rs10040594
- Deep-Learning-Based Sea Ice Classification With Sentinel-1 and AMSR-2 Data L. Zhao et al. 10.1109/JSTARS.2023.3285857
- Traversing Sea Ice—Linking Surface Roughness and Ice Trafficability Through SAR Polarimetry and Interferometry D. Dammann et al. 10.1109/JSTARS.2017.2764961
- A Neural Network-Based Classification for Sea Ice Types on X-Band SAR Images R. Ressel et al. 10.1109/JSTARS.2015.2436993
45 citations as recorded by crossref.
- Satellite SAR Data-based Sea Ice Classification: An Overview N. Zakhvatkina et al. 10.3390/geosciences9040152
- Evaluation of a Neural Network With Uncertainty for Detection of Ice and Water in SAR Imagery N. Asadi et al. 10.1109/TGRS.2020.2992454
- Automatic and Accurate Extraction of Sea Ice in the Turbid Waters of the Yellow River Estuary Based on Image Spectral and Spatial Information H. Qiu et al. 10.3390/rs14040927
- Assessment of RISAT-1 and Radarsat-2 for Sea Ice Observations from a Hybrid-Polarity Perspective M. Espeseth et al. 10.3390/rs9111088
- The Dynamic Processes of Sea Ice on the East Coast of Antarctica—A Case Study Based on Spaceborne Synthetic Aperture Radar Data from TerraSAR-X H. Liu et al. 10.1109/JSTARS.2015.2497355
- Late Summer Arctic Sea Ice Surface Roughness Signatures in C-Band SAR Data A. Fors et al. 10.1109/JSTARS.2015.2504384
- X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring A. Johansson et al. 10.1016/j.rse.2017.10.032
- Eastern Arctic Sea Ice Sensing: First Results from the RADARSAT Constellation Mission Data H. Lyu et al. 10.3390/rs14051165
- Late-summer sea ice segmentation with multi-polarisation SAR features in C and X band A. Fors et al. 10.5194/tc-10-401-2016
- Mapping sea-ice types from Sentinel-1 considering the surface-type dependent effect of incidence angle J. Lohse et al. 10.1017/aog.2020.45
- Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning C. Baumhoer et al. 10.3390/rs11212529
- Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data With a U-Net and Curriculum Learning K. Radhakrishnan et al. 10.1109/JSTARS.2021.3076109
- Multi-Featured Sea Ice Classification with SAR Image Based on Convolutional Neural Network H. Wan et al. 10.3390/rs15164014
- Estimation of Level and Deformed First-Year Sea Ice Surface Roughness in the Canadian Arctic Archipelago from C- and L-Band Synthetic Aperture Radar S. Cafarella et al. 10.1080/07038992.2019.1647102
- Southern Ocean ice charts at the Argentine Naval Hydrographic Service and their impact on safety of navigation A. Scardilli et al. 10.3389/fmars.2022.971894
- Incident Angle Dependence of Sentinel-1 Texture Features for Sea Ice Classification J. Lohse et al. 10.3390/rs13040552
- Sea Ice Concentration Estimation during Freeze-Up from SAR Imagery Using a Convolutional Neural Network L. Wang et al. 10.3390/rs9050408
- Assessing polarimetric SAR sea-ice classifications using consecutive day images M. Moen et al. 10.3189/2015AoG69A802
- Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images N. Zakhvatkina et al. 10.5194/tc-11-33-2017
- Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features M. Jiang et al. 10.1109/JSTARS.2022.3205849
- Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data K. Blix et al. 10.1109/TGRS.2020.3022461
- Automatic Sea-Ice Classification of SAR Images Based on Spatial and Temporal Features Learning W. Song et al. 10.1109/TGRS.2020.3049031
- Investigation into Different Polarimetric Features for Sea Ice Classification Using X-Band Synthetic Aperture Radar R. Ressel et al. 10.1109/JSTARS.2016.2539501
- Analysis on the Effects of SAR Imaging Parameters and Environmental Conditions on the Standard Deviation of the Co-Polarized Phase Difference Measured over Sea Surface A. Buono et al. 10.3390/rs11010018
- Arctic Sea Ice Characterization Using Spaceborne Fully Polarimetric L-, C-, and X-Band SAR With Validation by Airborne Measurements S. Singha et al. 10.1109/TGRS.2018.2809504
- 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
- Evaluation of Modified Reflection Symmetry Decomposition Polarization Features for Sea Ice Classification T. Lan et al. 10.3390/rs17091584
- An Optimal Decision-Tree Design Strategy and Its Application to Sea Ice Classification from SAR Imagery J. Lohse et al. 10.3390/rs11131574
- 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
- Is Radar Phase Information Useful for Sea Ice Detection in the Marginal Ice Zone? F. Ding et al. 10.3390/rs12111847
- The MET Norway Ice Service: a comprehensive review of the historical and future evolution, ice chart creation, and end user interaction within METAREA XIX W. Copeland et al. 10.3389/fmars.2024.1400479
- Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland S. Singha & R. Ressel 10.1109/JSTARS.2017.2691258
- Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data A. Gegiuc et al. 10.5194/tc-12-343-2018
- Semi-Automated Classification of Lake Ice Cover Using Dual Polarization RADARSAT-2 Imagery J. Wang et al. 10.3390/rs10111727
- Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study L. Wang et al. 10.1109/TGRS.2016.2543660
- Optimal Compact Polarimetric Parameters and Texture Features for Discriminating Sea Ice Types during Winter and Advanced Melt S. Nasonova et al. 10.1080/07038992.2018.1527683
- ExtremeEarth Meets Satellite Data From Space D. Hagos et al. 10.1109/JSTARS.2021.3107982
- Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys J. Negrel et al. 10.1017/aog.2020.61
- Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks S. Khaleghian et al. 10.3390/rs13091734
- Arctic Sea Ice and Open Water Classification From Spaceborne Fully Polarimetric Synthetic Aperture Radar Y. Lu et al. 10.1109/TGRS.2023.3266158
- Signature of Arctic first-year ice melt pond fraction in X-band SAR imagery A. Fors et al. 10.5194/tc-11-755-2017
- Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity W. Guo et al. 10.5194/tc-16-237-2022
- Combined observations of Arctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements A. Johansson et al. 10.1002/2016JC012273
- Assessment of the High Resolution SAR Mode of the RADARSAT Constellation Mission for First Year Ice and Multiyear Ice Characterization M. Dabboor et al. 10.3390/rs10040594
- Deep-Learning-Based Sea Ice Classification With Sentinel-1 and AMSR-2 Data L. Zhao et al. 10.1109/JSTARS.2023.3285857
2 citations as recorded by crossref.
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