基于特征增强的被动毫米波成像方法

Passive millimeter wave imaging method based on feature enhancement

为了克服现有被动毫米波成像方法的缺点,将识别需求有效地融入到成像中,提出了一种特征增强的成像方法。在成像中增强识别所需要的特征可以提高成像质量,提高识别率,新方法采用了成像与识别需求相结合的方案。在被动毫米波目标识别中,点特征和区域特征是很重要的特征。通过选取成像目标函数的特征项来增强目标的点特征和区域特征。将新方法用于被动毫米波仿真数据,可以很好地恢复图像,其成像结果优于维纳滤波的成像结果。同时它还能够有效地增强目标识别所需要的点特征和区域特征。该方法是一种有效的被动毫米波成像方法。

A feature enhanced imaging method is proposed to overcome the shortcomings of exiting passive millimeter wave imaging methods and combine the demands of identification with imaging. Enhancing features for identification during imaging can improve the image quality and the identification rate. The new method employed the program of combining the imaging with the demand of identifica- tion. In passive millimeter wave target identification, points feature and regions feature are very important. By selecting feature terms in target function for imaging, points feature and regions feature are enhanced. When the new method was applied to simulated data of passive millimeter wave ,it can restore images well. The results were better than the imaging results of Wiener filter. Moreover, it can enhance the required points feature and regions feature effectively for target identification. The proposed method is an effective passive millimeter wave imaging method