Fuzzy-Superpixels for Polarimetric SAR Images Classification

Guo, Yuwei and Jiao, Licheng and Wang, Shuang and Wang, Shuo and Liu, Fang and Hua, Wenqiang (2018) Fuzzy-Superpixels for Polarimetric SAR Images Classification. IEEE Transactions on Fuzzy Systems, 26 (5). pp. 2846-2860. ISSN 1063-6706

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Abstract

Superpixels technique has drawn much attention in computer vision applications. Each superpixels algorithm has its own advantages. Selecting a more appropriate superpixels algorithm for a specific application can improve the performance of the application. In the last few years, superpixels are widely used in polarimetric synthetic aperture radar (PolSAR) image classification. However, no superpixel algorithm is especially designed for image classification. It is believed that both mixed superpixels and pure superpixels exist in an image.Nevertheless, mixed superpixels have negative effects on classification accuracy. Thus, it is necessary to generate superpixels containing as few mixed superpixels as possible for image classification. In this paper, first, a novel superpixels concept, named fuzzy superpixels, is proposed for reducing the generation of mixed superpixels.In fuzzy superpixels ,not al lpixels are assigned to a corresponding superpixel. We would rather ignore the pixels than assigning them to improper superpixels. Second,a new algorithm, named FuzzyS(FS),is proposed to generate fuzzy superpixels for PolSAR image classification. Three PolSAR images are used to verify the effect of the proposed FS algorithm. Experimental results demonstrate the superiority of the proposed FS algorithm over several state-of-the-art superpixels algorithms.

Item Type: Article
Additional Information: © 2018 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Uncontrolled Keywords: Fuzzy superpixels, image classification, polarimetric synthetic aperture radar (PolSAR), superpixels.
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cyber Security
Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
REF UoA Output Collections > REF2021 UoA11: Computer Science and Informatics
Depositing User: Shuo Wang
Date Deposited: 12 Jul 2019 06:33
Last Modified: 12 Jul 2019 09:13
URI: http://www.open-access.bcu.ac.uk/id/eprint/7724

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