摘要
海岸线上或港口内的舰船检测具有很大的实际意义,尤其是目标的变化检测。但由于近岸背景的干扰,很难用传统的海面舰船检测方法实现。针对这一问题,提出了一种基于部分Hausdorff距离测度的图像轮廓匹配方法,适于近岸舰船检测。该方法具有如下特点:①利用快速距离变换和金字塔分解加速Hausdorff距离匹配实现;②由原图像逐级构造轮廓金字塔,避免了轮廓信息的过度采样。实验用卫星数据对该方法的性能进行了验证和分析。
Inshore ship detection has significant practical meaning,especially for the target change detection.However,it is difficult to realize the inshore ship detection utilizing the traditional area-based method because of the complex background.A partial Hausdorff distance measurement based on image contour matching method is proposed,which is fit for the inshore ship search and location.The main characteristics of the proposed method are,1） a fast distance transform and pyramid decomposition are used to speedup the Hausdorff distance matching;2） a pyramid is constructed from the original image to avoid the over-sample of contour.Experiments with images of satellite are carried out to validate and analyze the proposed method.
出处
《遥感技术与应用》
CSCD
2007年第5期622-627,共6页
Remote Sensing Technology and Application
基金
"十一五"国防预研资助项目(513220206)
