[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7780/kjrs.2017.33.1.6

Oil Spill Detection from RADARSAT-2 SAR Image Using Non-Local Means Filter

Kim, Daeseong (Department of Geoinformatics, University of Seoul)
Jung, Hyung-Sup (Department of Geoinformatics, University of Seoul)

Publication Information

Korean Journal of Remote Sensing / v.33, no.1, 2017 , pp. 61-67 More about this Journal

Abstract

The detection of oil spills using radar image has been studied extensively. However, most of the proposed techniques have been focused on improving detection accuracy through the advancement of algorithms. In this study, research has been conducted to improve the accuracy of oil spill detection by improving the quality of radar images, which are used as input data to detect oil spills. Thresholding algorithms were used to measure the image improvement both before and after processing. The overall accuracy increased by approximately 16%, the producer accuracy increased by 40%, and the user accuracy increased by 1.5%. The kappa coefficient also increased significantly, from 0.48 to 0.92.

Keywords

Oil spill; Non-local means filter; Speckle noise;

Citations & Related Records

Times Cited By KSCI : 4 (Citation Analysis)

Reference
Cited By KSCI

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