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The Role of Fractal Dimension, Lacunarity and Multifractal Dimension for Texture Analysis in SAR Image—A Comparison Based Analysis

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Proceedings of the International Conference on Signal, Networks, Computing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 395))

Abstract

In present paper, a fractal approach to study the texture in SAR images has been explored and the utility and problems of fractals for texture analysis are discussed. Since satellite images are rich in texture, they have to be studied in details for texture analysis. In present study, an ERS2 SAR image has been used for estimation of fractal dimension, lacunarity and multifractal dimension where the texture has been studied on the basis of these parameters and compared. A conclusion regarding the applicability of these three parameters has been drawn in the study.

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Correspondence to Triloki Pant .

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Pant, T. (2017). The Role of Fractal Dimension, Lacunarity and Multifractal Dimension for Texture Analysis in SAR Image—A Comparison Based Analysis. In: Lobiyal, D., Mohapatra, D., Nagar, A., Sahoo, M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, vol 395. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3592-7_13

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  • DOI: https://doi.org/10.1007/978-81-322-3592-7_13

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-3590-3

  • Online ISBN: 978-81-322-3592-7

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