Critical analysis of classification techniques for polarimetric synthetic aperture radar data

(1) * Vikas Mittal Mail (ECE Deptt., NIT Kurukshetra, India, India)
(2) Dharmendra Singh Mail (ECE Deptt., IIT Roorkee, India, India)
(3) Lalit Mohan Saini Mail (Electrical Engg. Deptt., NIT Kurukshetra, India, India)
*corresponding author


Full polarimetry SAR data known as PolSAR contains information in terms of microwave energy backscattered through different scattering mechanisms (surface-, double- and volume-scattering) by the targets on the surface of land. These scattering mechanisms information is different in different features. Similarly, different classifiers have different capabilities as far as identification of the targets corresponding to these scattering mechanisms. Extraction of different features and the role of classifier are important for the purpose of identifying which feature is the most suitable with which classifier for land cover classification. Selection of suitable features and their combinations have always been an active area of research for the development of advanced classification algorithms. Fully polarimetric data has its own advantages because its different channels give special scattering feature for various land cover. Therefore, first hand statistics HH, HV and VV of PolSAR data along with their ratios and linear combinations should be investigated for exploring their importance vis-à-vis relevant classifier for land management at the global scale. It has been observed that individually first hand statistics yield low accuracies. And their ratios are also not improving the results either. However, improved accuracies are achieved when these natural features are stacked together.


PolSAR features; Land cover classification; Supervised and unsupervised classification; Scattering mechanisms; Backscattering coefficients; Feature extraction and selection



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P. K. Mallupattu and J. R. Sreenivasula Reddy, "Analysis of Land Use/Land Cover Changes Using Remote Sensing Data and GIS at an Urban Area, Tirupati, India," The Scientific World Journal, vol. 2013, p. 6, 2013.

J. Chilar, "Land cover mapping of large areas from satellites: Status and research priorities," International Journal of Remote Sensing, vol. 21, pp. 1093-1114, 2000/01/01 2000.

K. B. Jones, "Importance of Land Cover and Biophysical Data in Landscape-Based Environmental Assessments," in North America Land Cover Summit, J. C. Campbell, K. B. Jones, J. H. Smith, and M. T. Koeppe, Eds., ed. National Academy of Sciences, Washington D.C.: Association of American Geographers, 2006, pp. 215-250.

V. Alberga, "A study of land cover classification using polarimetric SAR parameters," International Journal of Remote Sensing, vol. 28, pp. 3851-3870, 2007/09/10 2007.

H. T. Chu and L. Ge, "Improvement of land cover classification performance in western Australia using multisource remote sensing data," in 7th International Symposium on Digital Earth (ISDE7), Perth, Australia, 2011.

S. K. Deb and R. K. Nathr, "Land use/cover classification - An introduction review and comparison," Global Journal of Researches in Engineering Civil and Structural Engineering, vol. 12, 2012.

C. Qiang, K. Gangyao, J. Li, S. Lichun, and L. Diangang, "Unsupervised Land Cover/Land Use Classification Using PolSAR Imagery Based on Scattering Similarity," Geoscience and Remote Sensing, IEEE Transactions on, vol. 51, pp. 1817-1825, 2013.

P. Ferrazzoli, S. Paloscia, P. Pampaloni, G. Schiavon, S. Sigismondi, and D. Solimini, "The potential of multifrequency polarimetric SAR in assessing agricultural and arboreous biomass," IEEE Transactions on Geoscience and Remote Sensing, vol. 35, pp. 5-17, 1997.

A. Rodrigues, D. G. Corr, E. Pottier, L. Ferro-Famil, and D. Hoekman, "Land Cover Classification using Polarimetric SAR data," presented at the Workshop on applications of SAR polarimetry and polarimetric interferometry (POLInSAR 2003), ESA-ESRIN Frascati Italy, 2003.

P. Mishra, D. Singh, and Y. Yamaguchi, "Land Cover Classification of Palsar Images by Knowledge Based Decision Tree Classifier and Supervised Classifiers Based on SAR Observables," PIER B, 2011.

P. Mishra and D. Singh, "A Statistical-Measure-Based Adaptive Land Cover Classification Algorithm by Efficient Utilization of Polarimetric SAR Observables," Geoscience and Remote Sensing, IEEE Transactions on, vol. 52, pp. 2889-2900, 2014.

V. Alberga, G. Satalino, and D. K. Staykova, "Comparison of polarimetric SAR observables in terms of classification performance," International Journal of Remote Sensing, vol. 29, pp. 4129-4150, 2008/07/01 2008.

V. Alberga, D. Staykova, E. Krogager, A. Danklmayer, and M. Chandra, "Comparison of methods for extracting and utilizing radar target characteristic parameters," in Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, 2005, pp. 2019-2021.

P. S. Thenkabail, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing: CRC Press, 2015.

I. G. Cumnling and J. J. v. Zyl, "Feature Utility In Polarimetric Radar Image Classificatiion," in Geoscience and Remote Sensing Symposium, 1989. IGARSS'89. 12th Canadian Symposium on Remote Sensing., 1989 International, 1989, pp. 1841-1846.

E. Nezry and F. Yakam-Simen, "On the preservation of polarimetric signatures and polarimetric texture signatures by fully polarimetric MAP filters," in Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International, 1999, pp. 1555-1557 vol.3.

G. Mittal, P. Mishra, and D. Singh, "Fusion of polarimetric channel information of PALSAR data for land cover classification," Geomatics, Natural Hazards and Risk, vol. 5, pp. 157-172, 2014/04/03 2014.

J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis: An Introduction: Springer-Verlag New York, Inc., 1999.

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