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Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 39, 2013 - Issue 2
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Article

Multitemporal polarimetric RADARSAT-2 SAR data for urban land cover mapping through a dictionary-based and a rule-based model selection in a contextual SEM algorithm

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Pages 138-151 | Received 23 Apr 2012, Accepted 26 Apr 2013, Published online: 04 Jun 2014

References

  • Ainsworth, T.L., Kelly, J.P. and Lee, J.-S. Classification comparisons between dual-pol, compact polarimetric and quad-pol SAR imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 2009. Vol. 64, pp. 464-471. doi: 10.1016/j.isprsjprs.2008.12.008
  • Alberga, V. A study of land cover classification using polarimetric SAR parameters. International Journal of Remote Sensing. 2007. Vol. 28, No. 17, pp. 3851-3870. doi: 10.1080/01431160601075541
  • Alberga, V., Satalino, G. and Staykova, D.K. Comparison of polarimetric SAR observables in terms of classification performance. International Journal of Remote Sensing. 2008. Vol. 29, No. 14, pp. 4129-4150. doi: 10.1080/01431160701840182
  • Anfinsen, S.N., Doulgeris, A.P. and Eltoft, T. Estimation of the equivalent number of looks in polarimetric synthetic aperture radar imagery. IEEE Transactions on Geoscience and Remote Sensing. 2009. Vol. 47, No. 11, pp. 3795-3809. doi: 10.1109/TGRS.2009.2019269
  • Anfinsen, S.N., Doulgeris, A.P. and Eltoft, T. Goodness-of-fit tests for multilook polarimetric radar data based on the Mellin Transform. IEEE Transactions on Geoscience and Remote Sensing. 2011. Vol. 49, No. 7, pp. 2764-2781. doi: 10.1109/TGRS.2010.2104158
  • Anfinsen, S.N. and Eltoft, T. Application of the Matrix-Variate Mellin Transform to Analysis of Polarimetric Radar Images. IEEE Transactions on Geoscience and Remote Sensing. 2011. Vol. 49, No. 6, pp. 2281-2295. doi: 10.1109/TGRS.2010.2103945
  • Anfinsen, S.N., Jenssen, R., and Eltoft, T. 2007. Spectral clustering of polarimetric SAR data with Wishart-derived distance measures. In Proceedings of POLINSAR'07, 22–26 Jananuray 2007. Frascati, Italy.
  • Azimi-Sadjadi, M.R., Ghaloum, S. and Zoughi, R. Terrain classification in SAR images using principal components analysis and neural networks. IEEE Transactions on Geoscience and Remote Sensing. 1993. Vol. 31, No. 2, pp. 511-515. doi: 10.1109/36.214928
  • Baraldi, A., Bruzzone, L. and Blonda, P. A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification. IEEE Transactions on Image Processing. 2006. Vol. 15, No. 8, pp. 2208-2225. doi: 10.1109/TIP.2006.875220
  • Bombrun, L. and Beaulieu, J.M. Fisher distribution for texture modeling of polarimetric SAR data. IEEE Geoscience and Remote Sensing Letters. 2008. Vol. 5, No. 3, pp. 512-516. doi: 10.1109/LGRS.2008.923262
  • Celeux, G. and Diebolt, J. The SEM algorithm: a probabilistic teacher algorithm derived from the EM algorithm for the mixture problem. Computational Statistics Quarterly. 1985. Vol. 2, No. 1, pp. 73-82.
  • Celeux, G., Forbes, F. and Peyrard, N. EM procedures using mean field-like approximations for Markov model-based image segmentation. Pattern Recognition. 2003. Vol. 36, No. 1, pp. 131-144. doi: 10.1016/S0031-3203(02)00027-4
  • Chen, C.-T., Chen, K.-S. and Lee, J.-S. The use of fully polarimetric information for the fuzzy neural classification of SAR images. IEEE Transactions on Geoscience and Remote Sensing. 2003. Vol. 41, No. 9, pp. 2089-2100. doi: 10.1109/TGRS.2003.813494
  • Deng, H. and Clausi, D.A. Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model. IEEE Transaction on Geoscience and Remote Sensing. 2005. Vol. 43, No. 3, pp. 528-538. doi: 10.1109/TGRS.2004.839589
  • Freitas, C.C., Frery, A.C. and Correia, A.H. The polarimetric G distribution for SAR data analysis. Environmetrics. 2005. Vol. 16, No. 1, pp. 13-31. doi: 10.1002/env.658
  • Garzelli, A. Classification of polarimetric SAR images using adaptive neighborhood structures. International Journal of Remote Sensing. 1999. Vol. 20, No. 8, pp. 1669-1675. doi: 10.1080/014311699212678
  • Goodman, N.R. Statistical analysis based on a certain multivariate complex Gaussian distribution (an introduction). Annals of Mathematical Statistics. 1963. Vol. 34, No. 1, pp. 152-177. doi: 10.1214/aoms/1177704250
  • Horta, M.M., Mascarenhas, N., Frery, A.C., and Levada, A. 2008. Clustering of fully polarimetric SAR data using finite G0p mixture model and SEM algorithm. In Proceedings of 15th International Conference on Systems Signals and Image Processing, IWSSIP, 25–28 June 2008. Bratislava, Slovak Republic. pp. 81–84.
  • Kersten, P.R., Lee, J.S. and Ainsworth, T.L. unsupervised classification of polarimetric synthetic aperture radar images using fuzzy clustering and EM clustering. IEEE Transactions on Geoscience and Remote Sensing. 2005. Vol. 43, No. 3, pp. 519-527. doi: 10.1109/TGRS.2004.842108
  • Khan, K.U., Yang, J. and Zhang, W. Unsupervised classification of polarimetric SAR images by EM algorithm. IEICE Transactions on Communications. 2007. Vol. 90, No. 12, pp. 3632-3642. doi: 10.1093/ietcom/e90-b.12.3632
  • Krylov, V.A., Moser, G., Serpico, S.B. and Zerubia, J. Supervised high-resolution dual-polarization SAR image classification by finite mixtures and copulas. IEEE Journal of Selected Topics in Signal Processing. 2011. Vol. 5, No. 3, pp. 554-566. doi: 10.1109/JSTSP.2010.2103925
  • Lee, J.S., Cloude, S.R., Papathanassiou, K.P., Grunes, M.R. and Woodhouse, I.H. Speckle filtering and coherence estimation of polarimetric SAR interferometry data for forest applications. IEEE Transactions on Geoscience and Remote Sensing. 2003. Vol. 41, No. 10, pp. 2254-2263. doi: 10.1109/TGRS.2003.817196
  • Lee, J.-S., Grunes, M.R., Pottier, E. and Ferro-Famil, L. Unsupervised terrain classification preserving polarimetric scattering characteristics. IEEE Transactions on Geoscience and Remote Sensing. 2004. Vol. 42, No. 4, pp. 722-731. doi: 10.1109/TGRS.2003.819883
  • Lee, J.S., Grunes, M.R. and Grandi, G. Polarimetric SAR speckle filtering and its implication for classification. IEEE Transactions on Geoscience and Remote Sensing. 1999. Vol. 37, No. 5, pp. 2363-2373. doi: 10.1109/36.789635
  • Lee, J.S., Schuler, D.L., Lang, R.H., and Ranson, K.J. 1994. K-distribution for multi-look processed polarimetric SAR imagery. In Proceedings of IEEE International Geoscience and Remote Sensing Symposium, IGARSS'94, 8–12 August 1994. Pasadena, USA. pp. 2179–2181.
  • Lombardo, P., Sciotti, M., Pellizzeri, T.M. and Meloni, M. Optimum modelbased segmentation techniques for multifrequency polarimetric SAR images of urban areas. IEEE Transaction on Geoscience and Remote Sensing. 2003. Vol. 41, pp. 1959-1975. doi: 10.1109/TGRS.2003.814632
  • McLachlan, G., and Peel, D. 2000. Finite Mixture Models. John Wiley & Sons, New York.
  • Mishra, P., Singh, D. and Yamaguchi, Y. Land cover classification of palsar images by knowledge based decision tree classifier and supervised classifiers based on SAR observables. Progress In Electromagnetics Research B. 2011. Vol. 30, pp. 47-70.
  • Moser, G., Zerubia, J. and Serpico, S.B. Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation. IEEE Transactions on Geoscience and Remote Sensing. 2006. Vol. 44, No. 1, pp. 188-200. doi: 10.1109/TGRS.2005.859349
  • Niu, X. and Ban, Y. An adaptive contextual SEM algorithm for urban land cover mapping using multitemporal high-resolution polarimetric SAR data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2012. In press
  • Niu, X. and Ban, Y. Multitemporal RADARSAT-2 polarimetric SAR data for urban land cover classification using an object-based Support Vector Machine and a rule-based approach. International Journal of Remote Sensing. 2013. Vol. 34, pp. 1-26. doi: 10.1080/01431161.2012.700133
  • Oliver, C., and Quegan, S. 2004. Understanding synthetic aperture radar images, 2nd ed. Raleigh, USA: SciTech Publishing.
  • Park, S.-E. and Moon, W.M. Unsupervised classification of scattering mechanisms in polarimetric SAR data using fuzzy logic in entropy and alpha plane. IEEE Transactions on Geoscience and Remote Sensing. 2007. Vol. 45, No. 8, pp. 2652-2664. doi: 10.1109/TGRS.2007.897691
  • Pellizzeri, T.M. Classification of polarimetric SAR images of suburban areas using joint annealed segmentation and “H/A/alpha” polarimetric decomposition. ISPRS Journal of Photogrammetry and Remote Sensing. 2003. Vol. 58, No. 1–2, pp. 55-70. doi: 10.1016/S0924-2716(03)00017-0
  • Pellizzeri, T.M., Gamba, P., Lombardo, P. and Dell'Acqua, F. Multitemporal/ multiband SAR classification of urban areas using spatial analysis: statistical versus neural kernel-based approach. IEEE Transaction on Geoscience and Remote Sensing. 2003. Vol. 41, No. 10, pp. 2338-2353. doi: 10.1109/TGRS.2003.818762
  • Qi, Z., Yeh, A., Li, X. and Lin, Z. A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data. Remote Sensing of Environment. 2012. Vol. 118, pp. 21-39. doi: 10.1016/j.rse.2011.11.001
  • Sanjay-Gopal, S. and Hebert, T. Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm. IEEE Transactions on Image Process. 1998. Vol. 7, No. 7, pp. 1014-1028. doi: 10.1109/83.701161
  • Shah Hosseini, R., Entezari, I., Homayouni, S., Motagh, M. and Mansouri, B. Classification of polarimetric SAR images using Support Vector Machines. Canadian Journal of Remote Sensing. 2011. Vol. 37, No. 2, pp. 220-233. doi: 10.5589/m11-029
  • Touzi, R., Boerner, W.M., Lee, J.S. and Lüneberg, E. A review of polarimetry in the context of synthetic aperture radar: Concepts and information extraction. Canadian Journal of Remote Sensing. 2004. Vol. 30, No. 3, pp. 380-407. doi: 10.5589/m04-013
  • Waske, B. and Benediktsson, J.A. Fusion of support vector machines for classification of multisensor data. IEEE Transactions on Geoscience and Remote Sensing. 2007. Vol. 45, No. 12, pp. 3858-3866. doi: 10.1109/TGRS.2007.898446
  • Wu, Y., Ji, K., Yu, W. and Su, Y. Region-based classification of polarimetric SAR images using Wishart MRF. IEEE Geoscience and Remote Sensing Letters. 2008. Vol. 5, No. 4, pp. 668-672. doi: 10.1109/LGRS.2008.2002024
  • Zhang, L., Zou, B., Zhang, J. and Zhang, Y. Classification of polarimetric SAR image based on support vector machine using multiple-component scattering model and texture features. EURASIP Journal on Advances in Signal Processing. 2010. pp. 1-9. 2010
  • Zhong, P. and Wang, R. Image segmentation based on Markov random fields with adaptive neighborhood systems. Optical Engineering. 2009. Vol. 45, No. 9, pp. 462-465.
  • Zhu, Z., Woodcock, C., Rogan, J. and Kellndorfer, J. Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data. Remote Sensing of Environment. 2012. Vol. 117, pp. 72-82. doi: 10.1016/j.rse.2011.07.020

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