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Performance Evaluation of Bathymetry Data using Statistical Techniques to Remove Underwater Noise

by M. Selva Balan, C. R. S. Kumar, Km. Anjali Singh, Shini K. K
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 32
Year of Publication: 2018
Authors: M. Selva Balan, C. R. S. Kumar, Km. Anjali Singh, Shini K. K
10.5120/ijca2018918176

M. Selva Balan, C. R. S. Kumar, Km. Anjali Singh, Shini K. K . Performance Evaluation of Bathymetry Data using Statistical Techniques to Remove Underwater Noise. International Journal of Computer Applications. 181, 32 ( Dec 2018), 6-9. DOI=10.5120/ijca2018918176

@article{ 10.5120/ijca2018918176,
author = { M. Selva Balan, C. R. S. Kumar, Km. Anjali Singh, Shini K. K },
title = { Performance Evaluation of Bathymetry Data using Statistical Techniques to Remove Underwater Noise },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2018 },
volume = { 181 },
number = { 32 },
month = { Dec },
year = { 2018 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number32/30192-2018918176/ },
doi = { 10.5120/ijca2018918176 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:07:54.268967+05:30
%A M. Selva Balan
%A C. R. S. Kumar
%A Km. Anjali Singh
%A Shini K. K
%T Performance Evaluation of Bathymetry Data using Statistical Techniques to Remove Underwater Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 32
%P 6-9
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Analysis of bathymetry information is a testing errand because of a few reasons. The information is gathered remotely which is huge in size. Bathymetry information contains the profundity estimations of water body at different areas. The data obtained is also affected by noise and needs to be processed to predict the bottom of reservoir and water body. This data is prepared to produce a 3D plot by introducing the transitional estimations of the plot. The bathymetry information comprises of different commotions which are evacuated by applying noise expulsion calculations lastly the volume of water is anticipated. This paper presents different noise evacuation systems on bathymetry information to anticipate the volume of water in a supply.

References
  1. Sushama Shelke, Selva Balan, CRS Kumar,Analysis of Bathymetry Data for Calculating Volumeof Water in a Reservoir, 2016 Conference on Advances in Signal Processing (CASP) Cummins College of Engineering for Women, Pune. Jun 9-11, 2016.
  2. Sonali Vathar, Sushama Shelke, Bathymetry Data Analysis and Depth Measurement, 2016 Online International Conference on Green Engineering and Technologies (IC-GET).
  3. Selva Balan,Arti Khaparde2, Vanita Tank2, Tejashri Rade2and KirtiTakalkar2 under Water Noise Reduction UsingWavelet and Savitzky-Golay.
  4. Ugo Moreaud Philippe Courmontagne Performance Assessment of Noise ReductionMethods Applied to Underwater Acoustic Signals, 978-1-5090-1537-5/16/$31.00 ©2016 IEEE.
  5. S. Sakthivel Murugan, V. Natarajan, S. Kiruba Veni1 and K. Balagayathri1Analysis of Adaptive Algorithms to Improve the SNR of the Acoustic Signal Affected due to Wind Driven Ambient Noise in Shallow Water Analysis of Adaptive Algorithms to Improve the SNR.
  6. Burdic, William S, Underwater acoustic system analysig, 2nd, Prentice Hall, 1991
  7. Pooja Gavande, Dr. R.S. Kawitkar, M. Selva Balan” Classification of underwater objects using acoustic techniques’, ijecs, 2015
  8. Sushma shelke and Selva balan, “Analysis of bathymetry data for shape Prediction of a reservoir”, springer.
  9. Yan-yao jiang , “DEvelopmeny of noise reduction algorithm for Underwater singal”,2004,IEEE
Index Terms

Computer Science
Information Sciences

Keywords

Bathymetry data gridding multipath noise noise interpolation

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