Abstract
Propose a novel pixel-level change detection method based on the fuzzy distance for the interest building areas. Based on the imaging characteristic of Synthetic Aperture Radar (SAR) Images building areas, the variogram texture and gray feature are combined to be the feature vector in order to describe the image pixel feature clearly. And then the different image is computed using the fuzzy distance for detecting changes and obtaining quantitative detection results. Experimental results show that the proposed algorithm is feasible and effective to detect the change areas.
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References
Po, D.D.Y., Do, M.N.: Directional multiscale modeling of images using the contourlet transform. IEEE Trans. Image Process. 15(6), 1610–1620 (2006)
Marques, R.C.P., Sombra de Medeiros, F.N., Ushizima, D.M.: Target detection in SAR images based on a level set approach. IEEE Trans. Syst. Man Cybern. 39(2), 214–222 (2009)
Grandi, G.D., Lee, J.S., Schuler, D.: Target detection and texture segmentation in polarimetric SAR images using a wavelet frame: theoretical aspects. IEEE Trans. Geosci. Remote Sens. 45(11), 3437–3453 (2007)
Li, M., Liu, B.: Research and implementation of new image. Segmentation method. JCIT 7(8), 110–119 (2012)
Chen, Z.: Fuzzy theory for the P2P subject trust evaluation model. IJACT 4(8), 67–74 (2012)
Xu, X., Xu, S., Jin, L., et al.: Characteristic analysis of Otsu threshold and its applications. Pattern Recogn. Lett. 32(7), 956–961 (2011)
Jia, T.-Q.: Adaptive threshold in segmentation algorithm based on fuzzy distances. Comput. Eng. Des. 35(3), 856–860 (2014)
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Li, X., Sun, Y., Li, M. (2016). Building Targets Change Detection of SAR Images Based on Fuzzy Distances. In: Pan, Z., Cheok, A., Müller, W., Zhang, M. (eds) Transactions on Edutainment XII. Lecture Notes in Computer Science(), vol 9292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-50544-1_9
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DOI: https://doi.org/10.1007/978-3-662-50544-1_9
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