摘要
针对合成孔径集成成像系统中前景遮挡影响目标物的采集和识别的问题,提出了一种基于半全局立体匹配的去遮挡方法。首先搭建相机阵列采集目标物的前景遮挡图片,接着采用数字重聚焦技术和能量梯度函数设置分类阈值,将遮挡物和目标物进行分类并去除前景遮挡,然后利用元素图像修复技术对遮挡去除区域进行修复,最后对修复后的元素图像进行目标物重建。实验结果表明,本文方法重建出的结果图相比于传统的合成孔径成像方法在峰值信噪比(PSNR)上提高了13.271 4dB,相比块匹配方法在峰值信噪比(PSNR)上提高了5.350 3 dB。
Aiming at the problem that foreground occlusion affects the acquisition and recognition of targets in synthetic aperture integrated imaging systems,a semi global stereo matching based occlusion removal method is proposed.The camera array acquisition system is used for image acquisition,and digital refocus technology and energy gradient evaluation functions are used to classify and remove obstructions and targets.Combined with element image repair technology,the occlusion removal area is repaired.Finally,the repaired image array is reconstructed twice to extract the target.Experimental results show that the reconstructed image obtained by this method has a peak signal to noise ratio(PSNR) improvement of 13.271 4 dB compared to traditional synthetic aperture imaging methods,and a peak signal to noise ratio(PSNR) improvement of 5.350 3 dB compared to block matching methods.
作者
邢毓华
杨广福
Xing Yuhua;Yang Guangfu(School of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,China)
出处
《网络安全与数据治理》
2023年第7期67-72,90,共7页
CYBER SECURITY AND DATA GOVERNANCE
关键词
合成孔径集成成像
半全局立体匹配
数字重聚焦
去遮挡
synthetic aperture integrated imaging
semi global stereo matching
digital refocus
disocclusion
