Abstract
Speckle noise disturbance is the most essential factor that affects the quality and the visual appearance of the synthetic aperture radar (SAR) coherent images. For remote sensing systems, the initial step always involves a suitable method to reduce the effect of speckle noise. Several non-adaptive and adaptive filters have been proposed to enhance the noisy SAR images. In this chapter, we introduce a compressive survey about speckle noise reduction in SAR images followed by two proposed non-adaptive filters. These proposed filters utilize traditional mean, median, root-mean square values, and large size filter kernels to improve the SAR image appearance while maintaining image information. The performance of the proposed filters are compared with a number of non-adaptive filters to assess their abilities to reduce speckle noise. For quantitative measurements, four metrics have been used to evaluate the performances of the proposed filters. From the experimental results, the proposed filters have achieved promising results for significantly suppressing speckle noise and preserving image information compared with other well-known filters.
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Mashaly, A.S., Mahmoud, T.A. (2021). A Survey on Speckle Noise Reduction for SAR Images. In: Hassanien, A.E., Darwish, A. (eds) Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges. Studies in Big Data, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-59338-4_15
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DOI: https://doi.org/10.1007/978-3-030-59338-4_15
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