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Implementation of Spatial Images Using Rough Set-Based Classification Techniques

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Proceedings of the Third International Conference on Computational Intelligence and Informatics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1090))

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Abstract

“Artificial neural networks (ANNs)” and support vector networks have been widely used for the purpose of analysis of spatial remote sensory images. Attributes selection plays a major role in reduction of computational time for model processing and improvement in performance accuracy. In this paper, we present rough set-based artificial neural network (RS-ANN) and support vector machine classification (RS-SVM) methods for the classification of hyperspectral images. In both of these techniques, rough set (RS) is used as a feature selection mathematical tool. Further, this diminished dimensionality data is carried to artificial neural network (ANN) and support vector machine (SVM) classifiers correspondingly. The proposed procedure uses spatial information and implements the strategy for efficient processing of the image, and with utilization of the “graphics processing units (GPUs)” successfully implemented with improved efficiency. The experimental analysis achieved efficient outcome that the proposed procedures perform with improved accuracy, improved efficiency with a good amount of reduction in the execution and computing time, and enhancing the accuracy in the categorizing of spatial images in comparison with other conventional strategies.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India

    D. N. Vasundhara

  2. Department of Computer Science and Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, India

    M. Seetha

Authors
  1. D. N. Vasundhara
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  2. M. Seetha
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Corresponding author

Correspondence to D. N. Vasundhara .

Editor information

Editors and Affiliations

  1. CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  2. Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, Telangana, India

    A. Govardhan

  3. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad (Autonomous), Hyderabad, Telangana, India

    B. Padmaja Rani

  4. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad (Autonomous), Hyderabad, Telangana, India

    R. Sridevi

  5. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India

    M. Ramakrishna Murty

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Vasundhara, D.N., Seetha, M. (2020). Implementation of Spatial Images Using Rough Set-Based Classification Techniques. In: Raju, K., Govardhan, A., Rani, B., Sridevi, R., Murty, M. (eds) Proceedings of the Third International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-15-1480-7_38

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