为了提高高光谱图像空间维的图像分辨力, 针对航空遥感器成像时由前向像移造成的图像模糊提出了像移补偿方法。分析了航空遥感器前向像移造成图像模糊的退化机制, 对运动模糊图像进行了预处理; 估计了点扩散函数和噪声功率, 使用改进的维纳滤波算法对图像进行复原并以绝对平均误差、峰值信噪比作为评价标准进行了实验。在估计出模糊图像点扩散函数和噪声功率的情况下得到的结果显示: 与传统的维纳滤波复原算法相比, 改进的维纳滤波复原算法的图像绝对平均误差降低了931%, 峰值信噪比提高了1398%, 表明提出的算法能够有效改善高光谱图像的像质。

To improve the image resolution of a hyper spectral image, an image motion compensation algorithm was proposed. The mechanisms of image degradation caused by forward image motion were analyzed and a digital Image Motion Compensation(IMC) was adopted to restore the blurred image. Then, the Point Spread Function(PSF) and noise power were estimated, and the improved algorithm of Wiener filtering was selected to restore the blurred image. By taking the average absolute error and the peak signal to noise ratio as the evaluation criteria, the proved experiments were performed. Experimental results under the known quality of PSF and noise power show that the absolute average error of the image for improved Wiener filtering algorithm decreases by 931% and the peak signal to noise ratio increases by 1398% as compared to the traditional Wiener filter. It is concluded that the quality of the hyper spectral image can be improved effectively by the proposed algorithm.