Abstract
In order to identify the oil spills rapidly and accurately in SAR images, a detection method of oil spills in SAR images based on improved YOLOX-S was proposed. First, data enhancement and other pretreatment measures were done for collected SAR images of oil spills; second, improved FFDNet was used to reduce the speckle noise in SAR images, thus reducing the influence of things which were similar to oil spills on experimental results; finally, in order to fully extract the features of oil spills in SAR images, ECA module was added into YOLOX-S model to improve the identification accuracy of oil spills in SAR images. The experimental results showed that the improved YOLOX-S model could reduce the speckle noise in SAR images to some extent and identify quickly and accurately the oil spills in SAR images with accuracy rate of 86.76%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
