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Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
The simple linear iterative clustering (SLIC) method is a popular recently proposed superpixel algorithm for its simpleness and good performance for optical images. However, it may provide poor superpixels for polarimetric synthetic aperture radar (PolSAR) images because of the inherent speckle noise. In this paper, an improved SLIC based on Log-Euclidean distance with a novel postprocessing procedure by iteratively merging similar superpixels as well as preserving strong point targets isdoi:10.2991/icmia-16.2016.71 fatcat:t4yrms5mrnf4flnokw4olgfvlq