NDLI: A method for feature extraction and classification of marine radar images

Content Provider	IEEE Xplore Digital Library
Author	Nishizaki, C. Niwa, Y. Imasato, M. Motogi, H.
Copyright Year	2014
Description	Author affiliation: Oshima Nat. Coll. of Maritime Technol., Yamaguchi, Japan (Motogi, H.) \|\| Navig. & Logistics Eng. Dept., Nat. Maritime Res. Inst. (NMRI), Tokyo, Japan (Nishizaki, C.; Niwa, Y.; Imasato, M.)
Abstract	There are ship images (target) and non-ship images (noise) on radar images. In order to obtain other ship information from radar images, it is necessary to select and acquire ship images on radar images. Ship images are selected and acquired by navigation officers based on their observation skill and experience. The future purpose of this study is to automatically detect ship images on the radar. Therefore, in this paper, we propose the method for dividing ship images from non-ship images by the image processing and the cluster analysis using radar raster images. Many image feature points were extracted by the image processing using radar raster images. As a result of the cluster analysis using these image feature points, it is possible to detect about 99.8% ship images from radar raster images. However, there were many cases that non-ship images were classed as ship images. Therefore, the accuracy rate of cluster analysis results in this study was about 83%. In other words, it was possible to fairly determine about 83% images in this study.
Starting Page	48
Ending Page	53
File Size	1970043
Page Count	6
File Format	PDF
ISBN	9781889335490
DOI	10.1109/WAC.2014.6935652
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Radar imaging Navigation Radar antennas Marine vehicles Radar detection Cluster analysis Marine radar Ship detection Image processing
Content Type	Text
Resource Type	Article

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