计算机工程与应用Issue(20)：145-152,8.DOI:10.3778/j.issn.1002-8331.1407-0479
尺度自适应的SAR图像显著性检测方法
Scale self-adaptive saliency detection of SAR image
摘要
Abstract
Human vision system can assign processing resource efficiently by saliency detection of different interesting objects in the scene. The saliency detection method based on the visual attention mechanism is employed to simplify the scene analysis and the target interpretation of remote sensing images, which economizes processing resources. On the foundation of visual attention mechanism, a scale self-adaptive saliency detection method of SAR image is proposed. The local complexity metric and self-dissimilarity metric of multiple scales are utilized to compute the saliency metric. More-over, the way of saliency scale determination has been designed. The saliency map has been built by combining saliency metric with the saliency scale, which is the last step of saliency detection. Experimental results show that the proposed method can detect the saliency of SAR image effectively, and that the proposed method is more reliable for SAR image scene analysis than other state-of-the-art saliency detection methods.关键词
合成孔径雷达/自适应/显著性/显著图Key words
Synthetic Aperture Radar(SAR)/self-adaptive/saliency/saliency map分类
信息技术与安全科学引用本文复制引用
谢惠杰,唐涛,项德良,粟毅..尺度自适应的SAR图像显著性检测方法[J].计算机工程与应用,2015,(20):145-152,8.基金项目
国家自然科学基金（No.61171135）。 （）
