Abstract
Synthetic-aperture radar (SAR) images are speckle corrupted at the initial stage of their acquisition. For this reason, despeckling of the images is required to preserve the finer details without losing them. But, quite often it was seen that even after despeckling, there persists residual noise at higher noise levels and obscured or weak edges. Therefore, to overcome these problems, in this paper, a method of enhancement using dynamic unsharp masking has been proposed for various noise levels. It uses the concept of variable weight factor which is calculated for a single pixel of the image. Dynamic unsharp masking controls the enhancement of the images adaptively such that there is no overshooting in images. The sharpening competency of the proposed method is then scrutinized and compared with conventional unsharp masking using an evaluation parameter called measure of enhancement (EME).
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Bishnu, A., Bhateja, V., Rai, A. (2021). Enhancement of Synthetic-Aperture Radar (SAR) Images Based on Dynamic Unsharp Masking. In: Satapathy, S., Bhateja, V., Janakiramaiah, B., Chen, YW. (eds) Intelligent System Design. Advances in Intelligent Systems and Computing, vol 1171. Springer, Singapore. https://doi.org/10.1007/978-981-15-5400-1_81
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DOI: https://doi.org/10.1007/978-981-15-5400-1_81
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