Detection of oil spills and analysis of its features using segmentation

Aparna Dhevi K; Logapriya D; DINESH P S

Detection of oil spills and analysis of its features using segmentation

March 2018

Vol-4, Issue-2

Paper ID: 7543

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Electronics and Communication Engineering

Keywords

Day–night band (DNB) feature extraction Moderate Resolution Imaging Spectroradiometer (MODIS) moon glint morphological operator noise reduction oil slicks Visible Infrared Imager Radiometer Suite (VIIRS).

Abstract

This paper provides a comprehensive review of the use for detection of slicks features using kmeansalgorithm . Oil spills are seriously affecting the marine ecosystem and cause political and scientific concern since they seriously effect fragile marine and coastal ecosystem. Pollutant discharges affect the quality of sea water.Satellite images can improve the possibilities for the detection of oil spills as they cover large areas and offer an economical and easier way of continuous coast areas patrolling. Inorder to detect oil spills SAR iamges have been used.This paper provides an overview of the methodologies used to detect oil spills on the radar images. Approaches to distinguish oil spills from other natural phenomena are performed here.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Aparna Dhevi K	Prince Shri Venkateshwara Padmavathy Engineering College
2	Logapriya D	Prince Shri Venkateshwara Padmavathy Engineering College
3	DINESH P S	Prince Shri Venkateshwara Padmavathy Engineering College

How to Cite

Use the following formats to cite this article in your research.

APA Style

K, Aparna Dhevi, D, Logapriya, & S, DINESH P (2018). Detection of oil spills and analysis of its features using segmentation. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 479-485.

MLA Style

K, Aparna Dhevi, et al. "Detection of oil spills and analysis of its features using segmentation." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 479-485.

IEEE Style

Aparna Dhevi K, Logapriya D, and DINESH P S, "Detection of oil spills and analysis of its features using segmentation," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 479-485, 2018.

Vancouver Style

K Aparna Dhevi, D Logapriya, S DINESH P. Detection of oil spills and analysis of its features using segmentation. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):479-485.

Harvard Style

K, Aparna Dhevi, D, Logapriya, & S, DINESH P (2018) 'Detection of oil spills and analysis of its features using segmentation', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 479-485.

Chicago Style

K, Aparna Dhevi, Logapriya D, and DINESH P S. "Detection of oil spills and analysis of its features using segmentation." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 479-485.

Turabian Style

K, Aparna Dhevi, Logapriya D, and DINESH P S. "Detection of oil spills and analysis of its features using segmentation." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 479-485.