空间编码复用散斑多信息融合关联成像(特邀)

Multi-information fused correlated imaging based on space-coded multiplexing speckles(Invited)

  • 摘要: 提出空间编码复用散斑技术来实现单个单像素探测器对多个物体信息的同时探测获取。使用空间编码复用散斑对多个物体信息进行照明,使用单像素探测器对回波信号进行探测,利用关联算法获取混叠多物体信息,然后用空间编码信息对随机采样的多个物体信息进行解码,最后采用压缩感知技术对完整的多个物体信息进行复原。使用该技术分别实现了对多空间、多光谱和多偏振信息的同时探测获取,实验结果证实了该技术的有效性,该技术可有效降低系统数据量,提高关联成像系统的成像效能。

     

    Abstract: A technique of space-coded multiplexing speckle was proposed to simultaneously obtain multiple objects' information by a single-pixel detector. Space-coded multiplexing speckles were employed for objects illumination. The mixed light reflected from the objects was detected by a single-pixel detector. An iterative reconstruction method was used to restore the fused image. The spatial coding information was used to decode multiple objects' information. Next, clear images of the different information were recovered by compressed sensing (CS) algorithm. Multi-space, multi-spectral and multi-polarization information were simultaneously obtained through the proposed technique, respectively. The results clearly demonstrate that the proposed method is effective. This method can effectively reduce the amount of detected data and improve the imaging efficiency.

     

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