Low Cost Journal,International Peer Reviewed and Refereed Journals,Fast Paper Publication approved journal IJEDR(ISSN 2321-9939) apply for ugc care approved journal, UGC Approved Journal, ugc approved journal, ugc approved list of journal, ugc care journal, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, Low cost research journal, Online international research journal, Peer-reviewed, and Refereed Journals, scholarly journals, impact factor 7.37 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool)
INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

Current Issue

Call For Papers
July 2022

Volume 10 | Issue 3
Last Date : 29 July 2022
Review Results: Within 12-20 Days

For Authors

Archives

Indexing Partner

Research Area

LICENSE

Paper Details
Paper Title
Image Processing for Oil Spill Detection and its Classification using Neural Networks
Authors
  Amarpal Singh Walia,  Rekha Garg,  Preetinder Kaur

Abstract
Oil Spills in ocean is an increasing threat to our ecosystem. Oil Spills happen due to either leakage of oil from ships due to accidents or due to illegal release of oil in the sea by some big companies. In both cases detecting oil spill is an important because oil spills causes environmental problems and endanger the marine life. Many fishes and marine birds die due to oil spill every year. With advent of computing technology and advanced image processing techniques, automatic detection of oil spills using SAR images has become an important area of research. The many challenges in accurately classifying an oil spill from that of look-alikes are a major area of research interest. In this thesis, we have proposed a method for detecting oil spills from that of look-alikes with very high accuracy is proposed. The proposed work has implemented various image processing techniques like thresholding and image segmentation to extract oil spill from the background, and then implemented a pattern recognition system using Artificial neural network which uses a set of features extracted from SAR image of oil spill or look alike and is trained to classify oil spill more accurately than that of look-alikes.

Keywords- Synthetic aperture radar (SAR), Oil spill detection, marine pollution, feature extraction, image segmentation, Artificial neural network (ANN)
Publication Details
Unique Identification Number - IJEDR1503123
Page Number(s) - 1-9
Pubished in - Volume 3 | Issue 3 | September 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Amarpal Singh Walia,  Rekha Garg,  Preetinder Kaur,   "Image Processing for Oil Spill Detection and its Classification using Neural Networks", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp.1-9, September 2015, Available at :http://www.ijedr.org/papers/IJEDR1503123.pdf
Share This Article


Article Preview

ISSN Details




DOI Details



Providing A digital object identifier by DOI
How to get DOI?

For Reviewer /Referral (RMS)

Important Links

NEWS & Conference

Digital Library

Our Social Link

© Copyright 2022 IJEDR.ORG All rights reserved