Abstract
This contribution describes the system developed and implemented for the detection of snow based on the fusion of optical and Synthetic Aperture Radar (SAR) remote sensing modalities. The work is focused on the performance comparison of different fusion operators for the implementation of the fusion stage. In case of the optical signal the so-called Normalized Difference Snow Index (NDSI) is used, whereas in SAR, the binary presence of wet and dry snow are used. We take into account soft data fusion, a framework where several operators are included. The comparison is undertaken on a set of satellite images by computing the standard Receiver Operating Curves (ROC) and the corresponding Area Under the Curves (AUC).
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References
Bloch, I.: Information combination operators for data fusion: a comparative review with classification. IEEE Transactions on Systems, Man and Cybernetics, Part A 26(1), 52–67 (1996)
Bullen, P.: Handbook of Means and their Inequalities. Kluwer, Dordrecht (2003)
De Baets, B., Fodor, J.: Van melle’s combining function in mycin is a representable uninorm: an alternative proof. Fuzzy Sets Syst. 104(1), 133–136 (1999)
Fawcett, T.: An introduction to roc analysis. Pattern Recogn. Lett. 27(8), 861–874 (2006), http://dx.doi.org/10.1016/j.patrec.2005.10.010
Haefner, H., Piesbergen, J.: High alpine snow cover monitoring osing ers-1 sar and landsat tm data. In: Baumgartner, M., Schultz, G.A., Johnson, A.I. (eds.) Remote Sensing and Gographie Information Systems for Design and Operation of Water Resources Systems (Proceedings of Rabat Symposium S3) April 1997, vol. 242. IAHS Publ. (1997)
Hall, D.K., Riggs, G.A., Salomonson, V.V.: Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data. Remote Sensing of Environment 54(2), 127–140 (1995)
Klement, E.P., Mesiar, R., Pap, E.: Triangular Norms. Trends in Logic, vol. 8, Ist edn. Springer, Heidelberg (July 2000)
Kropatsch, W.G., Strobl, D.: The generation of sar layover and shadow maps from digital elevation models. IEEE Transactions on Geoscience and Remote Sensing 28(1), 98–107 (2002)
Menger, K.: Statistical metrics. Proceedings of the National Academy of Sciences of the United States of America 28(12), 535–537 (1942)
Nagler, T., Rott, H.: Retrieval of wet snow by means of multitemporal sar data. IEEE Transactions on Geoscience and Remote Sensing 38(2), 754–765 (2002)
Rudas, I.J.: New types of aggregation operators in intelligent systems: absorbing norms and evolutionary operators. In: Proceedings of IEEE International Symposium on Industrial Electronics, ISIE 2001, vol. 1, pp. 404–412 (2001)
Rudas, I.J., Fodor, J.: Information aggregation in intelligent systems using generalized operators. International Journal of Computers, Communications & Control 1(1), 47–57 (2006)
Salomonson, V., Appel, I.: Estimating fractional snow cover from modis using the normalized difference snow index. Remote Sens. Envir. 89(3), 351–360 (2004)
Soria-Frisch, A.: Soft Data Fusion for Computer Vision. Ph.D. thesis, TU Berlin (2005)
Soria-Frisch, A.: Optical-SAR fusion based snow detection. Tech. Rep. TN00186, Starlab Barcelona (2009)
Storvold, R., Malnes, E.: Snow covered area retrieval using envisat asar wideswath in mountainous areas. In: Proc. IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2004, vol. 3, pp. 1845–1848 (2004)
Thorp, E.: Best possible triangle inequalities for statistical metric spaces. Proceedings of the American Mathematical Society 11(5), 734–740 (1960)
Yager, R.R.: On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans. Syst. Man Cybern. 18(1), 183–190 (1988)
Yager, R.R., Rybalov, A.: Uninorm aggregation operators. Fuzzy Sets Syst. 80(1), 111–120 (1996)
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Soria-Frisch, A., Repucci, A., Moreno, L., Caparrini, M. (2010). Performance Comparison of Fusion Operators in Bimodal Remote Sensing Snow Detection. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2010. Communications in Computer and Information Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_22
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DOI: https://doi.org/10.1007/978-3-642-14058-7_22
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