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

Canadian Journal of Remote Sensing

Volumn 38, Issue 3, 2012, Pages 306-323

  Gill, Jagvijay P S ^a   Yackel, John J ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; CORRELATED PARAMETERS; CORRELATION MEASURES; FIRST-YEAR SEA ICES; ICE TYPE; INCIDENCE ANGLES; K-MEANS; NORMALIZED RADAR CROSS SECTION; OPEN WATER; PARAMETER EVALUATION; PHASE DIFFERENCE; POLARIMETRIC PARAMETERS; PROBABILITY DENSITIES; SEA ICE TYPE; SINGLE PARAMETER; SUPERVISED CLASSIFICATION; THREE PARAMETERS; VISUAL INSPECTION;

POLARIMETERS; RADAR CROSS SECTION; REMOTE SENSING; SEA ICE; SYNTHETIC APERTURE RADAR;

PARAMETER ESTIMATION;

EID: 84865717125     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m12-025     Document Type: Article

References (39)

1. Askne, J., and Dierking, W. 2008. Remote Sensing of the European Seas. Springer, Netherlands, pp. 383-398.
2. 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.
3. 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. (Pubitemid 26443704)
4. 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. (Pubitemid 127771044)
5. 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.
6. 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.
7. Dierking, W., Skriver, H., and Gudmandsen, P. 2003. SAR polarimetry for sea ice classification. Proc. POLinSAR 03, Frascati, Italy, pp. 109-118.
8. 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.
9. 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. (Pubitemid 33137968)
10. 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.
11. Foucher, S., and Lopez-Martinez, C. 2009. An Evaluation of PolSAR Speckle Filters. IGARSS 2009, Cape Town, South Africa, 12-17 July.
12. 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. (Pubitemid 128748505)
13. 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.
14. 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.
15. 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.
16. Lillesand, T.M., and Kiefer, R.W. 2000. Remote Sensing and Image Interpretation, John Wiley & Sons Inc. New York. Fourth Ed.
17. 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.]
18. 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.
19. 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. (Pubitemid 38762491)
20. Mäkynen, M. 2007. Investigation of the microwave signatures of the Baltic sea ice. Helsinki University of Technology Laboratory of Space Technology Publications, Finland.
21. 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. (Pubitemid 41640770)
22. 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. (Pubitemid 127614531)
23. 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. (Pubitemid 33700413)
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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. (Pubitemid 40729866)
31. 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.
32. 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. (Pubitemid 47515611)
33. 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.
34. Therrien, C.W. 1987. Decision Estimation and Classification: An introduction to pattern recognition and related topics. John Wiley & Sons. New York.
35. 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. (Pubitemid 46103894)
36. 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.
37. 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.
38. 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.
39. 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.