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

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

Selva M Balan, C R S Kumar, Km. Anjali Singh and Shini K K. Performance Evaluation of Bathymetry Data using Statistical Techniques to Remove Underwater Noise. International Journal of Computer Applications 181(32):6-9, December 2018. BibTeX

@article{10.5120/ijca2018918176,
	author = {M. Selva Balan and C. R. S. Kumar and Km. Anjali Singh and Shini K. K},
	title = {Performance Evaluation of Bathymetry Data using Statistical Techniques to Remove Underwater Noise},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2018},
	volume = {181},
	number = {32},
	month = {Dec},
	year = {2018},
	issn = {0975-8887},
	pages = {6-9},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume181/number32/30192-2018918176},
	doi = {10.5120/ijca2018918176},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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.
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  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

Keywords

Bathymetry data, gridding, multipath noise, noise, interpolation