Abstract
In this chapter, we consider pixel-based change detection methods. First, we provide well-known methods in the literature. Then, we propose two novel pixel-based change detection methods.
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References
Singh, A.: Review article: Digital change detection techniques using remotely-sensed data. Int. J. Remote Sens. 10(6), 989–1003 (1989)
Rosin, P.L., Ioannidis, E.: Evaluation of global image thresholding for change detection. Pattern Recognition Lett. 24(14), 2345–2356 (2003)
Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)
Kapur, J.N., Sahoo, P.K., Wong, A.K.C.: A new method for gray-level picture thresholding using the entropy of the histogram. Comput. Vis. Graph. Image Process. 29(3), 273–285 (1985)
Devore, J.: Probability and Statistics for Engineering and Sciences. 6 edn. Thompson (2004)
Griffiths, G.H.: Monitoring urban change from Landsat TM and Spot satellite imagery by image differencing. In: Proceedings of the 1988 International Geoscience and Remote Sensing Symposium, vol. 1, (1988)
Saksa, T., Uuttera, J., Kolstrom, T., Lehikoinen, M., Pekkarinen, A., Sarvi, V.: Clear-cut detection in boreal forest aided by remote sensing. Scandinavian J. For. Res. 18(6), 537–546 (2003)
Lu, D., Mausel, P., Batistella, M., Moran, E.: Land-cover binary change detection methods for use in the moist tropical region of the Amazon: A comparative study. Int. J. Remote Sens. 26(1), 101–114 (2005)
Malila, W.A.: Change vector analysis: An approach for detecting forest changes with Landsat. In: LARS Symposia, p. 385 (1980)
Johnson, R.D., Kasischke, E.S.: Change vector analysis: A technique for the multispectral monitoring of land cover and condition. Int. J. Remote Sens. 19(3), 411–426 (1998)
Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic Theory and Applications. Prentice Hall, New York (1995)
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© 2012 Cem Ünsalan
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İlsever, M., Ünsalan, C. (2012). Pixel-Based Change Detection Methods. In: Two-Dimensional Change Detection Methods. SpringerBriefs in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4255-3_2
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DOI: https://doi.org/10.1007/978-1-4471-4255-3_2
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