A new Likelihood Ratio for supervised classification of fully polarimetric SAR data: An application for sea ice type mapping

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 84, Issue , 2013, Pages 1-11

  Dabboor, Mohammed ^a   Shokr, Mohammed ^a  

^a ENVIRONMENT CANADA   (Canada)

Author keywords

Bayes risk function; Complex Wishart distribution; Likelihood Ratio; Polarimetric SAR; Supervised classification

Indexed keywords

ALGORITHMS; POLARIMETERS; SEA ICE; STATISTICAL TESTS;

BAYES RISK; COMPLEX WISHART DISTRIBUTIONS; LIKELIHOOD RATIOS; POLARIMETRIC SAR; SUPERVISED CLASSIFICATION;

SYNTHETIC APERTURE RADAR;

ACCURACY ASSESSMENT; ALGORITHM; BAYESIAN ANALYSIS; DATA PROCESSING; IMAGE CLASSIFICATION; LAND COVER; MAPPING METHOD; NUMERICAL METHOD; RADARSAT; RISK ASSESSMENT; SEA ICE; SPATIAL ANALYSIS; SYNTHETIC APERTURE RADAR;

ARCTIC OCEAN; CANADA; FRANKLIN BAY; NORTHWEST TERRITORIES;

EID: 84881241047     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.06.010     Document Type: Article

References (23)

1. Agarwal P., Alam A., Biswas R. Analyzing the agglomerative hierarchical clustering algorithm for categorical attributes. International Journal of Innovation, Management and Technology 2010, 1(2):186-190.
2. Barker, A., De Abreu, R., Timco, G. W., 2008. Satellite detection and monitoring of sea ice rubble fields. In: Proc. 19th IAHR International Symposium on Ice, Vancouver, B.C. Canada, 6-11 July, 1, pp. 419-430.
3. Bhattacharya A., Touzi R. Polarimetric SAR urban classification using the Touzi target scattering decomposition. Canadian Journal of Remote Sensing 2011, 37(4):1-10.
4. Chernoff H. A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations. The Annals of Mathematical Statistics 1952, 23(4):493-507.
5. Conradsen K., Nielsen A.A., Schou J., Skriver H. A test statistic in the complex Wishart distribution and its application to change detection in polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing 2003, 44(1):4-19.
6. Dabboor M., Collins M., Karathanassi V., Braun A. An unsupervised classification approach for polarimetric SAR data based on the Chernoff distance for the complex Wishart distribution. IEEE Transactions on Geoscience and Remote Sensing Issue 2013, 51(7):4200-4213.
7. Du L.J., Lee J.S. Fuzzy classification of earth terrain covers using multi-look polarimetric SAR image data. International Journal of Remote Sensing 1996, 17(4):809-826.
8. Eriksson L., Borenas K., Dierking W., Berg A., Santoro M., Pemberton P., Lindh H., Karlson B. Evaluation of the new spaceborne SAR sensors for sea-ice monitoring in the Baltic Sea. Canadian Journal of Remote Sensing 2010, 36(1):S56-S73.
9. Ferro-Famil L., Pottier E., Lee J.S. Unsupervised classification of multifrequency and fully polarimetric SAR images based on the H/A/Alpha-Wishart classifier. IEEE Transactions on Geoscience and Remote Sensing 2001, 39(11):2332-2342.
10. Gill J., Yackel J. Evaluation of C-band SAR polarimetric parameters for discrimination of first-year sea ice types. Canadian Journal of Remote Sensing 2012, 38(3):306-323.
11. Harris R. Contextual classification post-processing of Landsat data using a probabilistic relaxation model. International Journal of Remote Sensing 1985, 6(6):847-866.
12. Lee J.S., Grunes M.R., Kwok R. Classification of multi-look polarimetric SAR imagery based on the complex Wishart distribution. International Journal of Remote Sensing 1994, 15(11):2299-2311.
13. Lee J.S., Hoppel K.W., Mango S.A., Miller A.R. Intensity and phase statistics of multilook polarimetric and interferometric imagery. IEEE Transactions on Geoscience and Remote Sensing 1994, 32(5):1017-1028.
14. Lee J.S., Grunes M.R., De Grandi G. Polarimetric SAR speckle filtering and its implication for classification. IEEE Transactions on Geoscience and Remote Sensing 1999, 37(5):2363-2373.
15. Lee J.S., Grunes M.R., Ainsworth T.L., Du L.J., Schuler D.L., Cloude S.R. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier. IEEE Transactions on Geoscience and Remote Sensing 1999, 37(5):2249-2258.
16. Lee J.S., Grunes M.R., Pottier E., Ferro-Famil L. Unsupervised terrain classification preserving polarimetric scattering characteristics. IEEE Transactions on Geoscience and Remote Sensing 2004, 42(4):722-731.
17. Ouarzeddine, M., Souissi, B., Belhadj-Aissa, A., 2007. Unsupervised classification using Wishart classifier. In: Proceedings of the European Space Agency (ESA) POLINSAR Workshop, Frascati, Italy, 22-26 January.
18. Reigber A., Jager M., Neumann M., Ferro-Famil L. Classifying polarimetric SAR data by combing expectation methods with spatial context. International Journal of Remote Sensing 2010, 31(3):727-744.
19. Scheuchl, B., Caves, R., Cumming, I.G., Staples, G., 2001. Automated sea ice classification using spaceborne polarimetric SAR Data. In: Proceedings International Geoscience and Remote Sensing Symposium (IGARSS), Sydney, Australia, vol. 7, 9-13 July, pp. 3117-3119.
20. Scheuchl, B., Hajnsek, I., Cumming, I.G., 2002. Sea ice classification using multi-frequency polarimetric SAR data. In: Proceedings International Geoscience and Remote Sensing Symposium (IGARSS), Toronto, Canada, vol. 3, 24-28 June, pp. 1914-1916.
21. Touzi R. Target scattering decomposition in terms of roll-invariant target parameters. IEEE Transactions on Geoscience and Remote Sensing 2007, 45(1):73-84.
22. Weeks W.F., Ackley S.F., Govoni J. Sea ice ridging in the Ross Sea, Antarctica, as compared with sites in the Arctic. Journal of Geophysical Research 1989, 94(C4):4984-4988.
23. Yu P., Qin K., Clausi D. Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty. IEEE Transactions on Geoscience and Remote Sensing 2012, 50(4):1302-1317.