基于假设检验的SAR图像机场跑道自动识别

针对复杂条件下合成孔径雷达图像中机场目标自动检测识别问题,提出了一种基于假设检验的机场跑道自动识别算法,利用雷达图像中跑道灰度特性和结构知识,通过迭代分割和形态学滤波提取感兴趣区域,抑制具有类似灰度特性的水域对跑道线检测的影响,并结合Hough变换和线段跟踪连接提取候选跑道,最后采用假设检验方法对机场跑道进行识别.试验结果表明该方法可快速有效地检测识别复杂背景下低分辨率、低信噪比合成孔径雷达(SAR)图像中的机场跑道.

Automatic recognition of airfield runways based on hypothesis testing in SAR images

In consideration of the automatic detection of airfield and its recognition in synthetic aperture radar(SAR) images,a hypothesis-testing-based algorithm for automatic recognition of airfield runways in SAR images was proposed.The region of interesting(ROI) was extracted through iterative segmentation and morphology filtering and the impact of lakes or rivers on runway detection for the similar intensity property was restrained.The candidate runway was extracted by Hough transform and segment tracing.The true airfield runway was identified by hypothesis testing with the knowledge of the runway intensity property and its structure features.Experimental results showed that the proposed algorithm can automatically detect the airfield runway in low resolution and low signal-to-noise(SNR) SAR image under complex background in time.