Golay6结构稀疏孔径成像恢复算法研究.docVIP

摘 要,对遥感用光学系统的分辨率要求越来越高，相应的也导致了很高的费用。而且当口径到达一定程度时，现有的技术根本无法制造出这样的系统。稀疏孔径光学系统就是采用多个相同的子径光学系统，来解决大孔径光学系统高成本、难加工的问题，有效提高系统的分辨率。由于稀疏孔径系统的通光面积比全孔径系统少，光学系统调制函数的下降，合成的图像清晰度下降，因此研究稀疏孔径成像恢复具有重要意义。 本论文利用光学仿真软件Z，设计不同填充因子的Golay-结构稀疏孔径系统，仿真光学成像过程研究使用小波变换和维纳滤波方法对系统成像恢复，去除噪声，获得清晰的图像，提高成像质量。第一章稀疏孔径系统研究的意义，现状。第二章介绍了稀疏孔径系统的结构和原理第三章小波变换连续小波变换和离散小波变换理论。第四章介绍了图像理论结合稀疏孔径系统，提出小波维纳滤波算法，即先用小波变换去噪，然后维纳滤波处理去噪后图像，完成复原。 第五章稀疏孔径系统成像恢复仿真实验。表明小波去噪加维纳滤波方法对系统成像恢复可以达到最佳效果，单独使用维纳滤波方法和使用改进维纳滤波的方法。 关键词：Golay-；恢复；小波变换；维纳滤波 ABSTRACT With the continuous development of modern space technology, the demands of remote sensing with the resolution of the optical system is getting higher and higher, the corresponding also led to high costs. But when CAL reached a certain degree, the existing technology cannot create such a system. Sparse aperture optical systems is to use more of the same diameter optical system, to solve the large aperture optical system is high cost, difficult processing problem, effectively improve the resolution of the system. Due to the sparse aperture system through light area is less than the full aperture system, optical system modulation function decline, synthetic image sharpness drops, so the sparse aperture imaging recovery is of great significance. Using ZEMAX optical simulation software, this paper designed different filling factors of Golay - 6 sparse aperture system structure, simulation of optical imaging process, the use of wavelet transform and wiener filtering method for imaging system restore, get rid of the noise and then, get a clear image, improve the imaging quality. The first chapter, the paper introduces the sparse aperture system, the basis and significance of the study introduces the research status at home and abroad, the significance of topic selection, and puts forward the main content of the paper. The second chapter, the paper introduces the sparse aperture system, the structure and principle of the basic concept of sparse aperture system are introduced, the struc