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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Oil Spills Detection On Sea Surface Using Image Processing |
| Authors Name: | S. Sai Harshitha , S. Hemalatha , K. Manasa Veena , B. Jaya , K. Priyankitha,S. Rama Devi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_192305
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| Published Paper Id: | IJNRD2304504 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | http://doi.one/10.1729/Journal.33899 |
| 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. |
| Keywords: | SAR, CFAR Detection, thresholding, Sobel operator, Fuzzy C-Means clustering, Speckle noise, Canny edge detector, MATLAB. |
| Cite Article: | "Oil Spills Detection On Sea Surface Using Image Processing", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.f22-f27, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304504.pdf |
| Downloads: | 000118754 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2304504 Registration ID: 192305 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.33899 Page No: f22-f27 Country: Visakhapatnam, Andhra Pradesh, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304504 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304504 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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