Title :
Oil slick spot detection using K-distribution model of the sea background
Author :
Li, Hong-zhong ; Wang, Chao ; Zhang, Hong ; Wu, Fan ; Li, Jilong
Author_Institution :
Center for Earth Obs. & Digital Earth, Chinese Acad. of Sci., Beijing, China
Abstract :
A new method is proposed to get the segmentation threshold and detect the dark spot in oil-spill images. The method is inspired from the ¿-distribution model of sea background, which is widely accepted to describe the ocean clutter. By comparing the histograms of oil-spill region and the sea background, it is found that the oil slicks break the ¿-distribution model, but there is still some information unchanged-the relative probability ratios among the pixel values in 95%~99% CDF extent, which is used to deduce the original ¿-distribution model. Finally, the intersection of the original histogram of the oil spill image and the deduced sea background PDF is selected to be the threshold. Experiment in RADARSAT-2 image shows the effectiveness of the method.
Keywords :
geophysical image processing; image segmentation; marine pollution; object detection; oceanographic techniques; oil pollution; remote sensing by radar; statistical distributions; synthetic aperture radar; RADARSAT-2 image; dark spot detection; ocean clutter; oil slick spot detection; oil-spill images; oil-spill region; pixel values; sea background; segmentation threshold; ¿-distribution model; Aquaculture; Backscatter; Clutter; Feature extraction; Geoscience; Histograms; Image segmentation; Oceans; Petroleum; Radar detection; K -distribution model; Sea clutter; dark spot detection; oil spill;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417415
