光学学报, 2020, 40 (8): 0811003, 网络出版: 2020-04-13
基于共焦照明的合成孔径成像方法 下载: 867次
Synthetic Aperture Imaging Method Based on Confocal Illumination
成像系统 共焦照明 合成孔径 反镜阵列 光源调制 imaging systems confocal illumination synthetic aperture anti-mirror array light source modulation
摘要
合成孔径成像技术利用虚拟大尺寸孔径可实现局部被遮挡目标的有效探测,但是当场景中存在强背向散射时,重聚焦图像质量大大降低。针对上述问题,提出了一种基于共焦照明的合成孔径成像方法。该方法根据场景目标分布的深度信息对照明光源进行调制,有效实现聚焦面目标和非聚焦面目标接收的光照度差异;同时结合合成孔径成像重聚焦方法,实现了局部被遮挡的共焦照明面目标的高质量重建。利用反镜阵列搭建了共焦照明合成孔径成像系统,对指定深度目标进行共焦照明重聚焦成像,结果表明,所提方法能够有效区分场景中聚焦面和非聚焦面目标反射光的强度,并能获取共焦照明面目标的高质量图像信息,效果远远优于现有的合成孔径成像方法。
Abstract
Synthetic aperture imaging technology can be used to effectively detect local occluded targets by means of virtual large-size apertures, but the quality of refocused images is greatly reduced when there exist strong backscattering factors in the scene. Aiming at the above problems, a synthetic aperture imaging method based on confocal illumination is proposed, which modulates the illumination source according to the depth information of the scene target distribution, effectively realizes the illuminance difference between the focus surface target and the non-focus surface target, and combines the synthetic aperture imaging refocusing method to achieve high quality reconstruction of locally occluded confocal illumination surface targets. The confocal illumination synthetic aperture imaging system is built by an anti-mirror array, and the confocal illumination refocusing imaging is performed on the specified depth target. The results show that the proposed method can effectively distinguish the intensity of the reflected light from the focal plane and the non-focus surface target in the scene, and can obtain high quality image information of the confocal illumination surface target, and the effect is far superior to those of the existing synthetic aperture imaging methods.
项祎祎, 刘宾, 李艳艳. 基于共焦照明的合成孔径成像方法[J]. 光学学报, 2020, 40(8): 0811003. Yiyi Xiang, Bin Liu, Yanyan Li. Synthetic Aperture Imaging Method Based on Confocal Illumination[J]. Acta Optica Sinica, 2020, 40(8): 0811003.