Satellite Image Classification By Neural Networks And Fuzzy Inference System For

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2018, Vol 20, Issue 5

Abstract

This paper studies the performance and efficiency of the classification approaches on the satellite images. In this work, two methods will be used for image classification: the neural network and fuzzy inference methods. Also, this study displays the comparison between the previous approaches for explaining the amount of the efficiency and accuracy of these approaches in the image classification. The performance of two satellite image classification approaches has been examined. The experimental results prove that the neural network approach (NN) has the high efficiency and efficacy in the satellite image classification than the other classification approaches.

Authors and Affiliations

Asst. Prof. Sefer Dr. Kurnaz, Dheyauldeen M. Mukhlif

Keywords

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  • EP ID EP406757
  • DOI 10.9790/0661-2005041520.
  • Views 134
  • Downloads 0

How To Cite

Asst. Prof. Sefer Dr. Kurnaz, Dheyauldeen M. Mukhlif (2018). Satellite Image Classification By Neural Networks And Fuzzy Inference System For. IOSR Journals (IOSR Journal of Computer Engineering), 20(5), 15-20. https://europub.co.uk/articles/-A-406757