Morphological Gradient를 활용하여 GOCI 영상으로부터 해양 프론트를 추출하기 위한 구현

Abstract

The aim of this study is to devise an algorithm to extract oceanic fronts in order to improve the visibility for changes of ocean color scenes form GOCI. One of useful methods to characterize edges of objects in a scene is the morphological gradient which uses the difference between dilations and erosions in a scene so that variations of pixel intensities around edges of objects are enhanced. So far, this method has been applied in the image processing, and it is also expected that this method can be successfully applied to detect oceanic fronts. In this study, therefore we have focused on extracting oceanic fronts in ocean color scenes derived from the GOCI using the morphological gradient. The results showed that oceanic fronts based on the morphological gradient facilitate effective and clear analyses for changes of oceanic environments in the Northeast Asian region that is the target area of GOCI.ical gradient which uses the difference between dilations and erosions in a scene so that variations of pixel intensities around edges of objects are enhanced. So far, this method has been applied in the image processing, and it is also expected that this method can be successfully applied to detect oceanic fronts. In this study, therefore we have focused on extracting oceanic fronts in ocean color scenes derived from the GOCI using the morphological gradient. The results showed that oceanic fronts based on the morphological gradient facilitate effective and clear analyses for changes of oceanic environments in the Northeast Asian region that is the target area of GOCI.