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Aerial Scene Classification and Information Retrieval via Fast Kernel Based Fuzzy C-Means Clustering

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Information Management and Big Data (SIMBig 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 898))

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Abstract

Fast kernel based fuzzy C-Means clustering is proposed in this article to accomplish both accurate and robust segmentation, via integration with watershed transform and fast level set schemes. Aerial scenes are inherently linked to (noise and artifact) sensitivities, intensity inhomogeneity, blurry boundary, and information complexity. It is thus necessary to combine the edge or contour based level set method with region based fuzzy C-Means clustering. To achieve fast segmentation, watershed transform is used to secure the initial contour of the fast level set method, so that initial cluster centers of fuzzy C-Means clustering are selected on those closed contour to avoid misclassification and to enhance separability. It reduces time for lengthy computation iteration. Using multiple densely distributed aerial images, robust and fast clustering is observed after comparing between classical and fast kernel based fuzzy C-Means clustering. To further analyze the role of hybrid fast kernel based scheme on scene classification and information retrieval, frequency domain histogram analyses for several clustering cases are conducted on aerial digital images.

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Authors and Affiliations

  1. College of Engineering, Southern University, Baton Rouge, LA, 70813, USA

    Zhengmao Ye & Hang Yin

  2. Liaoning Radio and Television Station, Shenyang, China

    Yongmao Ye

Authors
  1. Zhengmao Ye
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  2. Hang Yin
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  3. Yongmao Ye
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Corresponding author

Correspondence to Zhengmao Ye .

Editor information

Editors and Affiliations

  1. Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA

    Juan Antonio Lossio-Ventura

  2. Fondazione Bruno Kessler, Trento, Italy

    Denisse Muñante

  3. Facultad de Ingeniería, University of the Pacific, Jesús María, Lima, Peru

    Hugo Alatrista-Salas

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Ye, Z., Yin, H., Ye, Y. (2019). Aerial Scene Classification and Information Retrieval via Fast Kernel Based Fuzzy C-Means Clustering. In: Lossio-Ventura, J., Muñante, D., Alatrista-Salas, H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham. https://doi.org/10.1007/978-3-030-11680-4_11

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  • DOI: https://doi.org/10.1007/978-3-030-11680-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11679-8

  • Online ISBN: 978-3-030-11680-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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