A Study on Classifying Sea Ice of the Summer Arctic Ocean Using Sentinel-1 A/B SAR Data and Deep Learning Models |
Jeon, Hyungyun
(School of Earth and Environmental Sciences, Seoul National University)
Kim, Junwoo (School of Earth and Environmental Sciences, Seoul National University) Vadivel, Suresh Krishnan Palanisamy (School of Earth and Environmental Sciences, Seoul National University) Kim, Duk-jin (School of Earth and Environmental Sciences, Seoul National University) |
1 | Ali, I., S. Cao, V. Naeimi, C. Paulik, and W. Wagner, 2018. Methods to remove the border noise from Sentinel-1 synthetic aperture radar data: implications and importance for time-series analysis, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(3): 777-786. DOI |
2 | Chi, J. and H. C. Kim, 2017. Prediction of arctic sea ice concentration using a fully data driven deep neural network, Remote Sensing, 9(12): 1305. DOI |
3 | Chollet, F, 2017. Deep Learning with Python vol. 1, Manning Publications Company, Shelter Island, NY, USA. |
4 | Cooke, C. L. and K. A. Scott, 2019. Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data, IEEE Transactions on Geoscience and Remote Sensing, 57(7): 4735-4747. DOI |
5 | He, K., X. Zhang, S. Ren, and J. Sun, 2016. Deep residual learning for image recognition, Proc. of the IEEE conference on computer vision and pattern recognition, Las Vegas, NV, Jun. 26-Jul. 1, pp. 770-778. |
6 | Hong, D. B. and C. S. Yang, 2018. Automatic discrimination approach of sea ice in the Arctic Ocean using Sentinel-1 Extra Wide Swath dual-polarized SAR data, International Journal of Remote Sensing, 39(13): 4469-4483. DOI |
7 | Inoue, J., A. Yamazaki, J. Ono, K. Dethloff, M. Maturilli, R. Neuber, P. Edwards, and H. Yamaguchi, 2015. Additional Arctic observations improve weather and sea-ice forecasts for the Northern Sea Route, Scientific Reports 5, 16868(2015), https://doi.org/10.1038/srep16868. |
8 | Kim, Y., D. J. Kim, U. J. Kwon, and H. C. Kim, 2018. A Study on the Radiometric Correction of Sentinel-1 HV Data for Arctic Sea Ice Detection, Korean Journal of Remote Sensing, 34(6-2): 1273-1282 (in Korean with English abstract). DOI |
9 | Li, Y., H. Zhang, X. Xue, Y. Jiang, and Q. Shen, 2018. Deep learning for remote sensing image classification: A survey, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(6): 1264. |
10 | Liu, H., H. Guo, and L. Zhang, 2014. SVM-based sea ice classification using textural features and concentration from RADARSAT-2 dual-pol ScanSAR data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(4): 1601-1613. DOI |
11 | Ma, L., Y. Liu, X. Zhang, Y. Ye, G. Yin, and B. A. Johnson, 2019. Deep learning in remote sensing applications: A meta-analysis and review, ISPRS Journal of Photogrammetry and Remote Sensing, 152: 166-177. DOI |
12 | Mladenova, I. E., T. J. Jackson, R. Bindlish, and S. Hensley, 2012. Incidence angle normalization of radar backscatter data, IEEE Transactions on Geoscience and Remote Sensing, 51(3): 1791-1804. DOI |
13 | Notz, D. and J. Stroeve, 2016. Observed Arctic sea-ice loss directly follows anthropogenic emission, Science, 354(6313): 747-750. DOI |
14 | Wulder, M. A., S. E. Franklin, J. C. White, J. Linke, and S. Magnussen, 2006. An accuracy assessment framework for large-area land cover classification products derived from medium-resolution satellite data, International Journal of Remote Sensing, 27(4): 663-683. DOI |
15 | Nusser, S. M. and E. E. Klaas, 2003. Survey methods for assessing land cover map accuracy, Environmental and Ecological Statistics, 10(3): 309-331. DOI |
16 | Parkinson, C. L., D. J. Cavalieri, P. Gloersen, H. J. Zwally, and J. C. Comiso, 1999. Arctic sea ice extents, areas, and trends, 1978-1996, Journal of Geophysical Research: Oceans, 104(C9): 20837-20856. DOI |
17 | Park, J. W., A. A. Korosov, M. Babiker, S. Sandven, and J. S. Won, 2017. Efficient thermal noise removal for Sentinel-1 TOPSAR cross-polarization channel, IEEE Transactions on Geoscience and Remote Sensing, 56(3): 1555-1565. DOI |
18 | Stehman, S. V. and R. L. Czaplewski, 2003. Introduction to special issue on map accuracy, Environmental and Ecological Statistics, 10: 301-308. DOI |
19 | Wang, L., K. A. Scott, L. Xu, and D. A. Clausi, 2016. Sea ice concentration estimation during melt from dual-pol SAR scenes using deep convolutional neural networks: A case study, IEEE Transactions on Geoscience and Remote Sensing, 54(8): 4524-4533. DOI |