Evaluation of C-band SAR polarimetric parameters for discrimination of first-year sea ice types

References

• Askne, J., and Dierking, W. 2008. Remote Sensing of the European Seas. Springer, Netherlands, pp. 383–398.
   Google Scholar
• Barber, D.G., and Nghiem, S.V. 1999. The role of snow on the thermal dependence of microwave backscatter over sea ice. Journal of Geophysical Research, Vol. 104, No. C11, pp. 25,789–25, 803. doi: 10.1029/1999JC900181.
   Google Scholar
• Carlström, A., and Ulander, L.M.H. 1995. Validation of backscatter models for level and deformed ice sea ice in ERS-1 SAR images. International Journal of Remote Sensing, Vol. 16, No. 7, pp. 3245–3266. doi: 10.1080/01431169508954629.
   Google Scholar
• Cloude, S.R., and Pottier, E. 1997. An entropy based classification scheme for land applications of polarimetric SAR. IEEE Transactions of Geoscience and Remote Sensing, Vol. 35, No. 1, pp. 68–78. doi: 10.1109/36.551935.
   Google Scholar
• Congalton, R.G. 1991. A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of Environment, Vol. 37, No. 1, pp. 35–46. doi: 10.1016/0034-4257(91)90048-B.
   Google Scholar
• Dierking, W., and Askne, J. 1998. Polarimetric L- and C-band SAR signatures of Baltic Sea ice observed during EMAC-95. Future Trends in Remote Sensing, P. Gudmandsen, ed. Balkema, Rotterdam, pp. 329–336.
   Google Scholar
• Dierking, W., Skriver, H., and Gudmandsen, P. 2003. SAR polarimetry for sea ice classification. Proc. POLinSAR ′03, Frascati, Italy, pp. 109–118.
   Google Scholar
• Drinkwater, M.R., Kwok, R., Rignot, E., Israelsson, H., Onstott, R.G., and Winebrenner, D.P. 1992. Potential applications of polarimetry to the classification of sea ice. Microwave Remote Sensing of Sea Ice, F. Carsey ed. Washington D.C.: AGU, pp. 419–430.
   Google Scholar
• Ferro-Famil, L., Pottier, E., and Lee, J.S. 2001. Unsupervised Classification of Multifrequency and Fully Polarimetric SAR Images Based on the H/A/Alpha-Wishart Classifier. IEEE Transactions of Geoscience and Remote Sensing, Vol. 39, No. 11, pp. 2332–2342. doi: 10.1109/36.964969.
   Google Scholar
• Fichaux, N., and Ranchin, T. 2002. Combined extraction of high spatial resolution wind speed and wind direction from SAR images: A new approach using wavelet transform. Canadian Journal of Remote Sensing, Vol. 28, No. 3, pp. 510–516. doi: 10.5589/m02-038.
   Google Scholar
• Foucher, S., and Lopez-Martinez, C. 2009. An Evaluation of PolSAR Speckle Filters. IGARSS′2009, Cape Town, South Africa, 12–17 July.
   Google Scholar
• Freeman, T., and Durden, S.L. 1998. A Three-Component Scattering Model for Polarimetric SAR Data. IEEE TransActions of Geoscience and Remote Sensing, Vol. 36, No. 3, pp. 963–973. doi: 10.1109/36.673687.
   Google Scholar
• Geldsetzer, T., and Yackel, J.J. 2009. Sea Ice type and open water discrimination using dual co-polarized C-band SAR. Canadian Journal of Remote Sensing, Vol 35, No. 1, pp. 73–84. doi: 10.5589/m08-075.
   Google Scholar
• Karvonen, J. 2004. Baltic Sea Ice SAR segmentation and classification using modified pulse-coupled neural networks. IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, No. 7, pp. 1566–1574. doi: 10.1109/TGRS.2004.828179.
   Google Scholar
• Kwok, R., Rignot, E., Holt, B., and Onstott, R.G. 1992. Identification of sea ice types in spaceborne synthetic aperture radar data. Journal of Geophysical Research, Vol. 97, No. C2, pp. 2391–2402. doi: 10.1029/91JC02652.
   Google Scholar
• Lillesand, T.M., and Kiefer, R.W. 2000. Remote Sensing and Image Interpretation, John Wiley & Sons Inc. New York. Fourth Ed.
   Google Scholar
• Lopez-Martinez, C., Ferro-Famil, L., and Pottier, E. 2007. Tutorials of POLSARPRO: The polarimetric SAR data processing and educational tool. Available from: http://earth.esa.int/polsarpro/. [Accessed 25 October 2009.]
   Google Scholar
• Lundhaug, M. 2002. ERS SAR studies of sea ice signatures in the Pechora Sea and Kara Sea region. Canadian Journal of Remote Sensing, Vol. 28, No. 2, pp. 114–127. doi: 10.5589/m02-022.
   Google Scholar
• Mäkynen, M., and Hallikainen, M. 2004. Investigation of C- and X-band backscattering signatures of Baltic Sea ice. International Journal of Remote Sensing, Vol. 25, No. 11, pp. 2061–2086. doi: 10.1080/01431160310001647697.
   Google Scholar
• Mäkynen, M. 2007. Investigation of the microwave signatures of the Baltic sea ice. Helsinki University of Technology Laboratory of Space Technology Publications, Finland.
   Google Scholar
• Nakamura, K., Wakabayashi, H., Naoki, K., Moriyama, T., and Uratsuka, S. 2005. Observation of Sea-Ice Thickness in the Sea of Okhotsk by Using Dual-Frequency and Fully Polarimetric Airborne SAR (Pi-SAR) Data. IEEE Transactions of Geoscience and Remote Sensing, Vol. 43, No. 11, pp. 2460–2469. doi: 10.1109/TGRS.2005.853928.
   Google Scholar
• Nghiem, S.V., Kwok, R., Yueh, S.H., Gow, A.J., Perovich, D.K., Kong, J.A., and Hsu, C.-C. 1997. Evolution in polarimetric signatures of thin saline ice under constant growth. Radio Science, Vol. 32, No. 1, pp. 127–151. doi: 10.1029/96RS03051.
   Google Scholar
• Nghiem, S.V., and Bertola, C. 2001. Study of Multi Polarization C-band backscatter Signatures for Arctic Sea Ice Mapping with Future Satellite SAR. Canadian Journal of Remote Sensing, Vol. 27, No. 5, pp. 387–402.
   Google Scholar
• Olson, C.E., Jr., and Ma, Z. 1989. Normality assumptions in supervised classification of remotely sensed terrain data, In Quantitative Remote Sensing: An Economic Tool for the Nineties, Proc. IGARSS'89. IEEE#89CH2768-0, pp. 1857–1859.
   Google Scholar
• Rodrigues, A., Corr, D., Partington, K., Pottier, E., and Ferro-Famil, L. 2003. Unsupervised wishart classifications of sea-ice using entropy, Alpha and Anisotropy Decompositions. Proc POLinSAR, Frascati, Italy, 14–16 January.
   Google Scholar
• Scheuchl, B., Hajnsek, I., and Cumming, I.G. 2002. Model-based classification of polarimetric SAR sea ice data. Proc. IGARSS'02, Toronto, June 24–28.
   Google Scholar
• Scheuchl, B., Caves, R., Cumming, I.G., and Staples. G. 2001. Automated sea ice classification using spaceborne polarimetric SAR data. Proc. IGARSS'01, Sydney, Australia.
   Google Scholar
• Scheuchl, B., Flett, D., Staples, G., Davidson, G., and Cumming, I.G. 2003a. Preliminary classification results of simulated RADARSAT-2 polarimetric sea ice data. Proc. POLinSAR ‘03, Frascati, Italy, 14–16 January.
   Google Scholar
• Scheuchl, B., Hajnsek, I., and Cumming, I.G. 2003b. Classification strategies for fully polarimetric SAR data of sea ice. Proc. POLinSAR, Frascati, Italy, 14–16 January.
   Google Scholar
• Scheuchl, B., Cumming, I.G., and Hajnsek, I. 2005. Classification of fully polarimetric single- and dual-frequency SAR data of sea ice using the wishart statistics. Canadian Journal of Remote Sensing, Vol. 31, No. 1, pp. 61–72. doi: 10.5589/m04-060.
   Google Scholar
• Shih, S., Ding, K., Ngheim, S.V., Hsu, C.-C., Kong, J.A., and Jordan, A.K. 1988. Thin saline ice thickness retrieval using time-series C-band polarimetric radar measurements. IEEE Transactions on Geoscience and Remote Sensing, Vol. 36, No. 5, pp. 1589–1598. doi: 10.1109/36.718862.
   Google Scholar
• Simila, M., Karvonen, J., Haas, C., and Hallikainen, M. 2006. C-band SAR based estimation of Baltic Sea ice thickness distributions. Proceedings of Geoscience and Remote Sensing, IGARSS'06, pp. 710–713.
   Google Scholar
• Simila, M., and Helminen, J. 1995. The identification of the deformed sea ice fields from ERS-SAR image by wavelets. Proceedings IGARSS'95, Firenze, Italy, Vol. 2, pp. 868–870.
   Google Scholar
• Therrien, C.W. 1987. Decision Estimation and Classification: An introduction to pattern recognition and related topics. John Wiley & Sons. New York.
   Google Scholar
• Touzi, R. 2007. Target scattering decomposition in terms of roll-invariant target parameters. IEEE Transactions of Geoscience and Remote Sensing, Vol. 45, No. 1, pp. 73–84. doi: 10.1109/TGRS.2006.886176.
   Google Scholar
• van der Sanden, J.J. 2004. Anticipated applications potential of Radarsat-2 data. Canadian Journal of Remote Sensing, Vol. 30, No. 3, pp. 369–379. doi: 10.5589/m04-001.
   Google Scholar
• Winebrenner, D.P., Farmer, L.D., and Joughin, I.R. 1995. On the response of polarimetric synthetic aperture radar signatures at 24 cm wavelength to sea ice thickness in Arctic leads. Radio Science, Vol. 30, No. 2, pp. 373–402. doi: 10.1029/94RS02313.
   Google Scholar
• Yackel, J.J., and Barber, D.G. 2000. Melt ponds on sea ice in the Canadian Arctic Archipelago. Part 2. On the use of RADARSAT-1 synthetic aperture radar for geophysical inversion. Journal of Geophysical Research, Vol. 105, No. C9, pp. 22061–22070. doi: 10.1029/2000JC900076.
   Google Scholar
• Yackel, J.J., and Barber, D.G. 1998. Measuring the thermodynamic state of sea ice using Synthetic Aperture Radar (SAR) time series data. Proceedings of Geoscience and Remote Sensing Symposim, Seattle, WA, USA. Vol. 2, pp. 989–991. July 6–10.
   Google Scholar