基于线阵探测器错位成像的超分辨遥感技术
发布时间：2018-08-25 09:20
【摘要】：为了提升光学遥感成像系统的空间分辨率,提出了基于线阵探测器错位成像的超分辨遥感技术,给出了线阵探测器错位排列方式以及获得错位低分辨率图像后的超分辨重建算法。根据光学相机成像原理,构建了代价函数用于正则化的迭代求解。实验中针对超分辨因子为2的情形,进行了错位成像仿真以及超分辨重建。实验结果表明,在采用4组线阵探测器错位的情况下,传统插值投影方法获得的重建图像在等效的奈奎斯特频率处,系统调制传递函数(MTF)计算值为0.01,而所提基于正则化的方法 MTF为0.28,相比原始单列探测器在奈奎斯特频率处MTF为0.13也有较大提升。无论是图像视觉效果还是MTF统计结果都验证了所提方法的有效性。该技术在遥感成像领域具有较大的工程应用价值。
[Abstract]:In order to improve the spatial resolution of optical remote sensing imaging system, a super-resolution remote sensing technique based on linear array detector transposition imaging is proposed. The misalignment of linear array detectors and the super-resolution reconstruction algorithm after obtaining the misaligned low-resolution images are presented. Based on the principle of optical camera imaging, a cost function is constructed for iterative solution of regularization. In the experiment, the dislocation imaging simulation and super-resolution reconstruction are carried out for the case where the super resolution factor is 2. The experimental results show that the reconstructed images obtained by the traditional interpolation projection method are at the equivalent Nyquist frequency when four groups of linear array detectors are used. The calculated value of the modulation transfer function (MTF) is 0.01, while the regularization based method MTF is 0.28, which is much higher than that of the original single-row detector (MTF = 0.13 at Nyquist frequency). Both the image visual effect and the MTF statistical results verify the effectiveness of the proposed method. This technique has great engineering application value in remote sensing imaging field.
【作者单位】： 上海卫星工程研究所;
【分类号】：TP751
本文编号：2202438
[Abstract]:In order to improve the spatial resolution of optical remote sensing imaging system, a super-resolution remote sensing technique based on linear array detector transposition imaging is proposed. The misalignment of linear array detectors and the super-resolution reconstruction algorithm after obtaining the misaligned low-resolution images are presented. Based on the principle of optical camera imaging, a cost function is constructed for iterative solution of regularization. In the experiment, the dislocation imaging simulation and super-resolution reconstruction are carried out for the case where the super resolution factor is 2. The experimental results show that the reconstructed images obtained by the traditional interpolation projection method are at the equivalent Nyquist frequency when four groups of linear array detectors are used. The calculated value of the modulation transfer function (MTF) is 0.01, while the regularization based method MTF is 0.28, which is much higher than that of the original single-row detector (MTF = 0.13 at Nyquist frequency). Both the image visual effect and the MTF statistical results verify the effectiveness of the proposed method. This technique has great engineering application value in remote sensing imaging field.
【作者单位】： 上海卫星工程研究所;
【分类号】：TP751
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