Marine Radar Oil-Spill Monitoring through Local Adaptive Thresholding. Issue 2 (3rd April 2019)

• Record Type: Journal Article
• Authors: Xu, Jin; Cui, Can; Feng, Haiyang; You, Daming; Wang, Haixia; Li, Bo
• Is Part Of: Environmental forensics. Volume 20:Issue 2(2019)
• Page Start: 196
• Page End: 209
• Publication Date: 2019-04-03
• Subjects: Marine radar -- oil-spill identification -- remote sensing; image processing; Environmental forensics -- Periodicals; Pollution -- Measurement -- Periodicals; Environmental law -- Periodicals; Enquêtes environnementales -- Périodiques; 363.25945
• DOI: 10.1080/15275922.2019.1597781
• Languages: English
• ISSNs: 1527-5922

Abstract

Abstract: Marine oil spills affect the environment, economy, and quality of life for coastal inhabitants. This article presents a method of X-band marine radar oil-spill identification by considering the marine radar images of the 2010 Dalian 7-16 accident. The Prewitt operator was improved and a linear interpolation was proposed to suppress co-channel interferences. In addition, a model of a gray-intensity-correcting matrix is proposed to smooth a whole image, thus displaying the oil film more intuitively. Furthermore, a contrast-limited adaptive histogram equalization method was used to increase the contrast inside and outside the oil film. Moreover, the local adaptive thresholding method was improved to segment the oil spills. The results show that the proposed method is an improvement on similar previous approaches for this task when employing X-band marine radar images. The proposed method can provide technical and theoretical bases for emergency response, damage assessment, and liability identification of oil spills.