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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Oil spill detection and classification system |
| Authors Name: | N. Om Prakash Narayana , E. Rishikesh Reddy , P. Kumaraguru Diderot |
| Unique Id: | IJSDR2306041 |
| Published In: | Volume 8 Issue 6, June-2023 |
| Abstract: | Oil spills are a serious environmental issue since they can seriously damage ecosystems and marine life. To respond quickly and effectively to an oil spill, early detection and classification are crucial. In recent years, numerous methods for identifying and categorizing oil spills have been developed utilizing remote sensing data. These methods, however, frequently have limited accuracy and are computationally expensive. In this research, we propose a machine learning-based method for classifying and detecting oil spills. To identify and categorize oil spills, the system combines spectral and textural information that are retrieved from satellite photos. To eliminate the influence of air and ocean surface conditions on the satellite images, we use a pre-processing stage. Then, we use a variety of machine learning techniques, such as Artificial Neural Network (ANN) and Convolutional Neural Network (CNN), to categorize the discovered oil spills into distinct groups according to their extracted features. On a dataset of satellite photos gathered from diverse parts of the world, we test our method. The testing findings show that our system detects and categorizes oil spills with excellent accuracy, with an overall classification accuracy of 99.6%. Additionally, our approach performs better than a number of cutting-edge methods in terms of precision and computational effectiveness. |
| Keywords: | Oil spills, Remote sensing, Machine learning, ANN, CNN. |
| Cite Article: | "Oil spill detection and classification system ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.266 - 273, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306041.pdf |
| Downloads: | 000337351 |
| Publication Details: | Published Paper ID: IJSDR2306041 Registration ID:206301 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.36201 Page No: 266 - 273 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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