Paper Title
Oil Spills Detection On Sea Surface Using Image Processing
Article Identifiers
Registration ID: IJNRD_192305
Published ID: IJNRD2304504
: http://doi.one/10.1729/Journal.33899
Keywords
SAR, CFAR Detection, thresholding, Sobel operator, Fuzzy C-Means clustering, Speckle noise, Canny edge detector, MATLAB.
Abstract
Marine pollution is increasing at an alarming rate and causing detrimental effects on the health of underwater flora and fauna. Anthropogenic activities are contaminating the natural water bodies which have adverse effects on humans as well as the environment. One of the main reasons for marine pollution are oil spills. An oil spill is the release of liquid petroleum hydrocarbons into the environment, especially the marine ecosystem. These oil spills are caused by accidents involving tankers, leaks from ships and natural disasters such as hurricanes, storm surge or high winds. The major threat to oceanic and costal environments is caused by the oil spills. Thus, oil spill detection is an important task that needs to be tackled. The Synthetic Aperture Radar (SAR) is an effective tool in checking the oil spills over a wide area and is capable of monitoring the ocean surface day and night in all-weather conditions. However, a visual check performed by human operators on a great number of images would be too expensive and time taking process. Therefore, a tool is required to detect the oil spills automatically. This project describes a software application using MATLAB for oil spills detection on the sea surface using SAR images with the help of three different algorithms namely CFAR detector, Fuzzy C means clustering algorithm and Canny edge detection method and compares their performance.
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How To Cite (APA)
S. Sai Harshitha, S. Hemalatha, K. Manasa Veena, B. Jaya, & K. Priyankitha,S. Rama Devi (April-2023). Oil Spills Detection On Sea Surface Using Image Processing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), f22-f27. http://doi.one/10.1729/Journal.33899
Issue
Volume 8 Issue 4, April-2023
Pages : f22-f27
Other Publication Details
Paper Reg. ID: IJNRD_192305
Published Paper Id: IJNRD2304504
Downloads: 000122254
Research Area: Electronics & Communication Engg.Â
Author Type: Indian Author
Country: Visakhapatnam, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304504.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304504
Crossref DOI: http://doi.one/10.1729/Journal.33899
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