Satellite-Based Ocean Oil Spill Detection By Using ML Technique
Paper Title: Satellite-Based Ocean Oil Spill Detection By Using ML Technique
Authors Name: Dr. Santosh Singh , Amit Kumar Pandey , Manik Borvadkar , Yash Yadav
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Author Reg. ID: TIJER_151423
Published Paper Id: TIJER2403095
Published In: Volume 11 Issue 3, March-2024
Abstract: This research pioneers the application of advanced machine learning for ocean oil spill detection through satellite imagery analysis. Utilizing Logistic Regression, the study achieves precise classification on a dataset enriched with features extracted from satellite images. Rigorous testing demonstrates robust accuracy rates, complemented by the development of a user-friendly graphical interface for seamless model training and testing. The research significantly contributes to environmental monitoring, presenting an effective solution for prompt identification of oil spills in expansive oceanic landscapes. The amalgamation of cutting-edge technology and environmental stewardship underscores the pivotal role of machine learning in addressing real-world challenges.
Keywords: MLTech, Spill, EnvMo, SatIm, LogReg
Downloads: 00073
Page No: a700-a705
Country: Mumbai, Maharashtra, India
Research Area: Science and Technology
Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2403095
Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2403095
ISSN:
2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar| ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER(IJPublication)
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