Abstract
This paper presents a new approach titled Rectangular Discrete Radon Transform (RDRT) which is based on the generalization of the classical Radon transform to project the images with rectangular objects instead of straight lines. The RDRT was conceived to accurately locate and recognize Rectangular Buildings from high resolution satellite images. Experimental results show the efficiency of our method.
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References
Wei, Y., Zhao, Z., Song, J.: Urban Building Extraction From High Resolution Satellite panchromatic image using clustering and edge detection. In: IEEE International Geoscience and Remote Sensing Symposium, pp. 2008–2010 (2004)
Muller, S., Zaum, D.W.: Robust building detection in aerial images. International Archives of Photogrammetry and Remote Sensing, 143–148 (2005)
Chanussot, J., Benediktsson, J.A., Fauvel, M.: Classification of remote sensing images from urban areas using a fuzzy possibilistic model. IEEE Geoscience and Remote Sensing Letters, 40–44 (2006)
Lhomme, S., He, D.C., Weber, C., Morin, D.: A new approach to buildings identification from very-high-spatial-resolution images. International Journal of Remote Sensing, 30–36 (2009)
Karantzalos, K., Paragios, N.: Automatic model-based building detection from single panchromatic high resolution images. International Archives of the Photogrammetry. Remote Sensing & Spatial Information Sciences 37, 225–230 (2008)
Taillandier, F.: Automatic building reconstruction from cadastral maps and aerial images. International Archives of Photogrammetry and Remote Sensing, 105–110 (2005)
Ortner, M., Descombes, X., Zerubia, J.: Building outline extraction from digital elevation models using marked point processes. International Journal of Computer Vision 72, 107–132 (2007)
Koc San, D., Turker, M.: Automatic Building Detection and Delineation From High Resolution Space Images Using Model-Based Approach. In: ISPRS Workshop on Topographic Mapping from Space (2006)
Bouziani, M., Goita, K., He, D.C.: Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge. Journal of Photogrammetry and Remote Sensing 65, 143–153 (2009)
Tofts, P.: The RadonTtransform: Theory and implementation. Ph.D.Thesis (1996)
Radon, J.: Ber die Bestimmung von Funktionen durch ihre Integralwerte lngs gewisser Mannigfaltigkeiten, Berichte Schsische Akademie der Wissenschaften. Mathematisch-Physikalische Leipzig 69, 262–277 (1917)
Magli, E., Olmo, G., LoPresti, L.: Pattern recognition by means of the Radon transform and the continuous wavelet transform. Signal Processing, 73 (1998)
Milanfar, P.: A model of the effect of image motion in the Radon transform domain. IEEE Transactions on Image Processing 8, 1276–1281 (1999)
Rosenfeld, A., Kak, A.C.: Digital Picture Processing, 2nd edn., vol. 1. Academic Press (1982)
Deans, S.: The Radon Transform and Some of Its Applications. Wiley, New York (1983)
Wang, L., Hao, Y.: Radon Transform and Forstner Operator Applying in Buildings Contour Extraction. In: Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 5 (2009)
Beylkin, G.: Discrete Radon transform. IEEE Transactions. Acoustics, Speech and Signal Processing 35, 162–172 (1987)
Mukhopadhyay, S., Chanda, B.: An edge preserving noise smoothing technique using multi-scale morphology. Signal Processing 82, 527–544 (2002)
Mayunga, S.D., Zhang Y., Coleman, D.J.: Semi-Automatic Building Extraction Utilizing Quickbird Imagery. In: CMRT 2005, IAPRS, 36, Part 3 (2005)
Hamouda, A., Rojbani, H., Elouedi, I.: A new shape descriptor based on the Radon transform: the Rθ-signature. Accepted paper in International Conference on Signal, Image Processing and Applications ICSIA (2011)
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© 2012 Springer-Verlag Berlin Heidelberg
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Ines, E., Atef, H., Hmida, R. (2012). Rectangular Discrete Radon Transform for Buildings Extraction from High Resolution Satellite Images. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7324. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31295-3_49
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DOI: https://doi.org/10.1007/978-3-642-31295-3_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31294-6
Online ISBN: 978-3-642-31295-3
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