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为了使空间相机在无靶标场景中也能提取系统点扩散函数(PSF,point spread function),基于倾斜刃边法,提出了一种利用任意形状刃边估计PSF的方法。通过分析刃边线扩散函数(LSF,line spread function)的特点,以任意形状刃边LSF的直接提取为基础对PSF进行估算。建立理想刃边模型进行实验,该方法能够有效地提取成像系统的PSF,并具有较高的测量精度与较好的抗噪性能。将本文方法应用在实际遥感场景中,分别利用倾斜靶标刃边和随机地物刃边估算PSF,以倾斜刃边法估算出的PSF为标准进行对比,误差分别为4.19%与5.09%;该方法应用于不同遥感场景时,估算出各自的PSF并用维纳滤波复原,复原后的图像质量有很大提升。该方法在保证PSF估算精度的同时有效减少了对靶标的依赖,具有良好的应用前景。
In order to make PSF (point spread function) extractable in the non-target scene, a method of PSF estimation based on edge-edge method is proposed. By analyzing the characteristics of LSF (line spread function), the PSF was estimated based on the direct extraction of edge LSF of arbitrary shape. The ideal blade edge model is established for experiment. This method can effectively extract the PSF of the imaging system and has higher measurement accuracy and better anti-noise performance. This method is applied to the actual remote sensing scene, the PSF is estimated by using the tilted target edge and the random feature edge respectively, and the PSF estimated by the tilt edge method is the standard with error of 4.19% and 5.09% respectively. This method When applied to different remote sensing scenes, the PSFs are estimated and reconstructed by Wiener filtering. The restored image quality is greatly improved. This method can effectively reduce the reliance on the target while ensuring the accuracy of PSF estimation and has a good application prospect.