文章基本信息

标题：Automatic Thresholding Techniques for SAR Images
本地全文：下载
作者：Moumena Al-Bayati ; Ali El-Zaart
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2013
卷号：3
期号：3
页码：75-84
DOI：10.5121/csit.2013.3308
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Segmentation of Synthetic Aperture Radar (SAR) images have a great use in observing the global environment, and in analysing the target detection and recognition .B ut , segmentation of (SAR) images is known as a very complex task, due to the existence of speckle noise. Therefore, in this paper we present a fast SAR images segmentation based on between class variance. Our choice for used (BCV) method, because it is one of the most effective thresholding techniques for most real world images with regard to uniformity and shape measures. Our experiments will be as a test to determine which technique is effective in thresholding (extraction) the oil spill for numerous SAR images, and in the future these thresholding techniques can be very useful in detection objects in other SAR images.
关键词：SAR;I;MAGES;S;EGMENTATION;T;HRESHOLDING;O;TSU METHOD