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Multispectral Image Classification Using Neural Networks in Astronomical Imagery

    Authors

    • A. Praveena . 1
    • Nimisha Asthana 2
    • Anusha Chattopadhyay 2
    • Yash Singh 2

    1 A.P CSE, Department of Computer Science Engineering, SRM Institute of Technology, Chennai, Tamil Nadu, India.

    2 Department of Computer Science Engineering, SRM Institute of Technology, Chennai, Tamil Nadu, India.

,

Document Type : Research Article

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Abstract

multispectral image is an image that has wavelengths across the spectrum of electromagnetism. Astronomical images have various layers in their image capture process and thus fit into this category. This research aims to analyze the different lights of astronomical objects and their images and their colors. It focuses on how neural network models learn from each attribute of the images, thus aiming to find correlation and importance of the attributes of the images. Attempting to allow the CNN model to classify the images more efficiently by sorting the data.

Keywords

  • Astronomy
  • Multispectral
  • CNN
  • SDSS
  • Galaxy Zoo
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European Journal of Molecular & Clinical Medicine
Volume 7, Issue 2
November 2020
Page 5193-5206
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  • Article View: 304
  • PDF Download: 313

APA

., A. P., Asthana, N., Chattopadhyay, A., & Singh, Y. (2020). Multispectral Image Classification Using Neural Networks in Astronomical Imagery. European Journal of Molecular & Clinical Medicine, 7(2), 5193-5206.

MLA

A. Praveena .; Nimisha Asthana; Anusha Chattopadhyay; Yash Singh. "Multispectral Image Classification Using Neural Networks in Astronomical Imagery". European Journal of Molecular & Clinical Medicine, 7, 2, 2020, 5193-5206.

HARVARD

., A. P., Asthana, N., Chattopadhyay, A., Singh, Y. (2020). 'Multispectral Image Classification Using Neural Networks in Astronomical Imagery', European Journal of Molecular & Clinical Medicine, 7(2), pp. 5193-5206.

VANCOUVER

., A. P., Asthana, N., Chattopadhyay, A., Singh, Y. Multispectral Image Classification Using Neural Networks in Astronomical Imagery. European Journal of Molecular & Clinical Medicine, 2020; 7(2): 5193-5206.

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