基于偏振差分图像的海天线检测方法

Sea-sky-line detection method based on polarization difference images

针对低对比度红外图像中海天线检测困难,且易受云层、条状波浪和海杂波等干扰因素影响的问题,提出了一种采用偏振差分图像进行海天线检测的方法。首先,利用偏振差分方法增强海面区域的局部对比度和海天线的信噪比;其次,对偏振差分图像采用大尺度的局部对比度累加方法确定海天线区域;最后,在海天线区域中采用梯度显著性及多项式拟合方法完成小尺度的海天线精确检测。该方法将偏振度、偏振角等多维信息融入海天线检测,并采用了大尺度与小尺度相结合的检测方法,能够有效克服云层、条状波浪和海杂波等因素的干扰。实验结果表明该算法的海天线检测准确率为98.5%,平均耗时16 ms,能够实现快速、准确的海天线检测,具有较强的场景适用性。

Aiming at the problem of sea-sky-line detection in low-contrast infrared images being difficult and easily affected by interference factors such as clouds,strip waves and sea clutter,we propose a method of using polarization difference images for sea-sky-line detection.Firstly,Polarization Difference Imaging(PDI)is used to enhance the local contrast of the sea surface area and the Signal-to-Noise Ratio(SNR)of the sea-sky-line.A large-scale local contrast accumulation method of the polarization difference images is then used to determine the sea-sky-line area.Finally,the accurate detection of a small-scale sea-sky-line is completed by combining the gradient significance and polynomial fitting in the sea-sky-line area.Overall,the methodology integrates multi-dimensional information such as the Degree of Linear Polarization(DOLP)and the Angle of Polarization(AOP)for sea-sky-line detection,and combines large-scale and small-scale detection,which can effectively overcome interference of factors such as clouds,strip waves and sea clutter.The experimental results show that the accuracy of this algorithm for sea-sky-line detection is 98.5%,and the average time consumed is 16 ms.The experimental results indicate that the proposed algorithm can realize fast and accurate sea-sky-line detection so it has wide applicability in different scenes.