2022
DOI: 10.3390/jmse10111630
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Detection of Massive Oil Spills in Sun Glint Optical Imagery through Super-Pixel Segmentation

Abstract: Large volumes of crude oil accidentally released into the sea may cause irreversible adverse impacts on marine and coastal environments. Large swath optical imagery, acquired using platforms such as the moderate-resolution imaging spectroradiometer (MODIS), is frequently used for massive oil spill detection, attributing to its large coverage and short global revisit, providing rich data for oil spill monitoring. The aim of this study was to develop a suitable approach for massive oil spill detection in sun gli… Show more

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Cited by 8 publications
(3 citation statements)
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“…Using clustering techniques, we will further identify dense and sparse regions in object space and may discover overall distribution patterns and correlations among data attributes [62][63] [64]. The classification approach can also be used to distinguish groups or classes of an object effectively but becomes costly, so clustering is often used as a preprocessing approach for attribute subset selection and classification [65][66] [67].…”
Section: Methodsmentioning
confidence: 99%
“…Using clustering techniques, we will further identify dense and sparse regions in object space and may discover overall distribution patterns and correlations among data attributes [62][63] [64]. The classification approach can also be used to distinguish groups or classes of an object effectively but becomes costly, so clustering is often used as a preprocessing approach for attribute subset selection and classification [65][66] [67].…”
Section: Methodsmentioning
confidence: 99%
“…The GOCI-II has the potential to provide more products to help protect the environment of ICWs and coastal areas. The new 380 nm ultraviolet band can be used to retrieve parameters related to the absorption of CDOM, DOC, carbon dioxide, organic pollutants, hypoxia, or oil spills [117,240,[258][259][260][261]. It also allows for applying ultraviolet AC methods to the GOCI to provide more reliable R rs (λ) products [66,241].…”
Section: Further Expansion Of Goci-ii Productsmentioning
confidence: 99%
“…Most current approaches for detecting oil pollution on the water surface involve either oil spill detection on the sea surface using various remote sensing monitoring methods to detect the type and area of the oil spill [10][11][12][13], or using remote sensing images to detect the oil slick [14,15]. Zhao Dong et al [16] proposed an oil slick detection method based on multispectral remote sensing technology for sea surface oil slick detection, but the method is less effective in detecting oil slicks heavily polluted by sunlight and needs to be verified by more multispectral images.…”
Section: Introductionmentioning
confidence: 99%