GreyWolfLSM: an accurate oil spill detection method based on level set method from synthetic aperture radar imagery
Author:
Affiliation:
1. Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Funder
Shahid Chamran University of Ahvaz
Publisher
Informa UK Limited
Subject
General Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/22797254.2022.2037468
Reference48 articles.
1. A New Statistical-Based Kurtosis Wavelet Energy Feature for Texture Recognition of SAR Images
2. Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review
3. Oil spill detection by imaging radars: Challenges and pitfalls
4. SAR Imagery for Detecting Sea Surface Slicks: Performance Assessment of Polarization-Dependent Parameters
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