基于压缩感知的空间稀疏目标成像方法研究

Research on pace Space Sparse Target Imaging Method Based on Compressed Sensing

提出一种快速有效的空间稀疏目标检测与成像方法.把图像的每行相加得到列向量,图像的每列相加得到行向量,然后对行向量和列向量进行压缩采样.由测量数据、测量矩阵、稀疏基恢复行、列向量,再根据重心法求出稀疏目标的位置坐标.然后以目标为中心获取目标图像.它的优点是不需要获取整幅图就能得到目标的位置,大大节省了时间.实验结果表明,系统能够准确地对目标进行检测与成像.该成像方法可以利用红外点源探测器完成高分辨率的红外目标成像,获取所需要的红外图像信息.

This paper presents a fast and efficient sparse target detection and imaging methods. Column vector is obtained by adding each row of the an image, and row vector is obtained by adding each column of the an image , and row and column vectors is compressed and sampled. Row and column vectors were restored From the measured data, the measurement matrix , sparse group , sparse target location coordinates are determined in accordance with the center of gravity method. Then get the target image at the center of the target. The advantage is that the whole image is not required and target location can be get, so it takes less time. Experimental results show that the system can accurately detect the target and image . The imaging method can complete high-resolution infrared target imaging using infrared point source detecter, and obtain the information of infrared images they need.