Denoising of Satellite Images Using Hybrid Filtering and Convolutional Neural Network

  • Authors

    • E Mohan
    • R. Sivakumar
    https://doi.org/10.14419/ijet.v7i4.6.28566
  • Image De-noising, Hybrid Filtering, Convolutional Neural Network (CNN), Image Enhancement
  • The concept of machine learning is useful for various applications and the Convolutional Neural Network (CNN) plays a major role on it. This paper proposes the denoising of satellite images using the machine vision. The noise in an image cannot be find out without distinguish the information and noise. The CNN differentiates the actual information and it is separated by the noise and applying the method to remove the noise. Also, it balances the effect of removing the noise from the original image. The noise removal image is enhanced for better visualization and the quality of the enhanced image is measured with Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR)

     

     


  • References

    1. [1] Bo-HaoChen ; Shih-ChiaHuang ; Chian-Ying Li and Sy-Yen Kuo, “Haze Removal Using Radial Basis Function Networks for Visibility Restoration Applicationsâ€, IEEE Transactions on Neural Networks and Learning Systems, Volume: 29 , Issue: 8 , Aug. 2018, Page(s): 3828 - 3838 DOI: 10.1109/TNNLS.2017.2741975.

      [2] Gurpreet Singh, Subhi J. Al’Aref, Marly Van Assen, Timothy Suyong Kim, Alexander van Rosendael, Kranthi K. Kolli, Aeshita Dwivedi, Gabriel Maliakal, Mohit Pandey, Jing Wang, Virginie Do, Manasa Gummalla, Carlo N. De Cecco and James K. Min, “Machine learning in cardiac CT: Basic concepts and contemporary dataâ€, Journal of Cardiovascular Computed Tomography, Volume 12, Issue 3, 2018, Pages 192-201, ISSN 1934-5925, https://doi.org/10.1016/j.jcct.2018.04.010.

      [3] Jia, Wenjuan & Muhammad, Khan & Wang, Shuihua and Zhang, Yu-Dong (2017), “Five-category classification of pathological brain images based on deep stacked sparse autoencoderâ€, Multimedia Tools and Applications, pp.1-20. https://doi.org /10.1007/s11042-017-5174-z.

      [4] Roy, S. S., Ahmed, M., & Akhand, M. A. H. (2018). Noisy image classification using hybrid deep learning methods. Journal of Information and Communication Technology, 17 (2), 233–269.

      [5] Rikiya Yamashita, Mizuho Nishio, Richard Kinh Gian Do and Kaori Togashi, “Convolutional neural networks: an overview and application in radiologyâ€, Insights into Imaging, August 2018, Volume 9, Issue 4, pp 611–629, https://doi.org/10.1007/s13244-018-0639-9.

      [6] Huihui Song , Qingshan Liu , Guojie Wang, Renlong Hang and Bo Huang (2018), “Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks†IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ( Volume: 11 , Issue: 3 , March 2018 ),Pp: 821 –829, DOI: 10.1109/JSTARS.2018.2797894.

      [7] Aswin Kumer S V and Dr. S.K.Srivatsa, “An image fusion technique based on Sparse Wavelet Transform and Non singleton Type-2 FNN Techniquesâ€, TAGA Journal of Graphic Technology, Vol.14, 2018, ISSN:1748-0345, pp.76-86.

      [8] Aswin Kumer S V and Dr. S.K.Srivatsa, “A compilation of image fusion process using decision based coordinates of an imageâ€, IEEE International Conference on Power, Control, Signals and Engineering (ICPCSI) 2017, Vol.1, Issue – IV, ISBN: CFP17M84-PRT 978-1-5386-0813-5, pp.286 – 290.

      [9] Aswin Kumer S V and Dr. S.K.Srivatsa, “A novel image fusion approach using high resolution image enhancement techniqueâ€, International Journal of Pure and Applied Mathematics Vol.116, No. 23, 2017, pp.671 – 683, ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version), Special Issue.

      [10] Dr.E.Mohan and R.Sugumaran “Magnetic Resonance Imaging Segmentation for Brain Tumor Detection Using New Robust Global Kernel Fuzzy CMeans Clustering Algorithm (NRGKFCM-F)†at International Journal of Applied Engineering Research ISSN 0973-4562 Volume 9, Number 21 (2014) pp. 10899-10908.

      [11] Dr.E.Mohan,R.Sugumaran and K.Venkatachalam “Automatic Brain and Tumor Segmentation in MRI Using Fuzzy Classification with Integrated Bayesian Model†at International Journal of Applied Engineering Research ISSN 0973-4562 Volume 9, Number 24 (2014) pp. 25859-25870.

      [12] Dr.E.Mohan A.Annamalai Giri and S.V.Aswin Kumer, “A Novel Image Segmentation Approach for Brain Tumor Detection Using Dual Clustering Approachâ€, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 11 (2018) pp. 9807-9810.

      [13] Dr.E.Mohan and R.Sivakumar “High Resolution Satellite Image Enhancement Using Discrete Wavelet Transformâ€, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 11 (2018) pp. 9811-9815

  • Downloads

  • How to Cite

    Mohan, E., & Sivakumar, R. (2018). Denoising of Satellite Images Using Hybrid Filtering and Convolutional Neural Network. International Journal of Engineering & Technology, 7(4.6), 462-464. https://doi.org/10.14419/ijet.v7i4.6.28566