刃边法边缘扩散函数最优提取方法

陈起行; 何斌; 王俊琦

doi:doi:10.3788/lop52.111003

激光与光电子学进展, 2015, 52 (11): 111003, 网络出版: 2015-12-01

刃边法边缘扩散函数最优提取方法下载： 1342次

Optimal Extraction for Edge Spread Function in Knife-Edge Method

论文大纲

陈起行 ^1,2,*何斌 ¹王俊琦 ^1,2

作者单位

¹ 中国科学院长春光学精密机械与物理研究所, 吉林长春 130033

² 中国科学院大学, 北京 100049

遥感刃边法边缘扩散函数调制传递函数 remote sensing knife-dege method edge spread function modulation transfer function

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摘要

为确定边缘扩散函数(ESF)最优提取方法，对基于三次样条插值与SG 滤波的四种提取方法进行分析比较，包括Spline、SplineSG、MSG 及SASG 方法。分别通过仿真图像实验与实际遥感图像实验，分析了图像仅存在加性噪声以及图像中同时存在加性噪声与白噪声时，四种方法的有效性。实验结果表明，Spline 与SplineSG 方法的效果几乎完全一致，仿真实验中，二者线扩散函数(LSF)和调制传递函数(MTF)计算精确度约为SASG 方法的2~3 倍，MSG 方法的3~5 倍；而在实际遥感图像实验中，SASG 方法与二者效果接近，遥感图像复原图像质量提升效果约为MSG 方法的1.5~2 倍；当条带噪声较明显时，SASG 方法效果最优。因此，在刃边法实施过程中，根据噪声情况，边缘扩散函数的提取可以在SASG 或Spline 方法中选择。

Abstract

In order to confirm the optimal extraction method for edge spread function (ESF) in knife-edge method, four extraction methods based on the cubic spline interpolation and SG filtering, including Spline、SplineSG、MSG and SASG method are presented. By the experiments using simulation images and remote sensing images, in which only additive noise exists or white noise exists as well at the same time, effects of the four methods are analysed and compared. Experimental results show that Spline and SplineSG method have almost the same results, and the calculating accuracy of line spread function (LSF) and modulation transfer function (MTF) is nearly 2 to 3 times better than SASG method and 3 to 5 times better than MSG method in simulation experiments. While SASG method has the same results compared with Spline and Spline SG method in the practical experiments using remote sensing images. The improving effect of the image quality image restoration is 1.5 to 2 times better than MSG method. When the stripe noise is obvious, SASG method works best. Thus, according to the noise situation, SASG method or Spline method can be chosen for ESF extraction in the implementation process of the knife-edge method.

参考文献

[1] 李晓斌, 周春平, 迟云峰. 刃边法计算在轨卫星图像MTF 的仿真分析[J]. 影像技术, 2007, 6: 33-39.

Li Xiaobin, Zhou Chunping, Chi Yunfeng. Simulation of in-orbit satellite image MTF measurement usingedgemethod[J]. Imaging Technology, 2007, 6: 33-39.

[2] 赵占平, 付兴科, 黄巧林, 等. 基于刃边法的航天光学遥感器在轨MTF 测试研究[J]. 航天返回与遥感, 2009, 30(2): 37-43.

Zhao Zhanping, Fu Xingke, Huang Qiaolin, et al.. On orbit MTF test research of remote sensors based on knife-edgemethod[J]. Spcaecraft Recovery & Remote Sensing, 2009, 30(2): 37-43.

[3] 许妙忠, 从铭, 付晓梅, 等. 国产卫星传感器在轨MTF 检测方法的评价与研究[J]. 测绘科学, 2014, 39(4): 8-12.

Xu Miaozhong, Cong Ming, Fu Xiaomei, et al.. Research and evaluation of on-orbit MTF measurement for Chinese satellite sensors[J]. Science of Surveying and Mapping, 2014, 39(4): 8-12.

[4] Xianbin Li, Xiaoguang Jiang, Chuanjie Zhou, et al.. An analysis of the knife-edge method for on-orbit MTF estimation of optical sensors[J]. International Journal of Remote Sensing, 2010, 31(17-18): 4995-5010.

[5] Hwang H, Choi Y W, Kwak S, et al.. MTF assessment of high resolution satellite images using ISO 12233 slanted-edge method[C]. SPIE, 2008, 7109: 710905.

[6] Donovan M, Zhang D, Liu H. Step by step analysis toward optimal MTF algorithm using an edge test device[J]. Journal of X-ray Science and Technology, 2009, 17(1): 1-15.

[7] Choi T. IKONOS Satellite on Orbit Modulation Transfer Function (MTF) Measurement Using Edge and Pulse Method [D]. Brooking: South Dakota State University, 2002.

[8] 李进, 邢飞, 王翀. 空间CCD 相机高精度在轨调制传递函数估算[J]. 光学学报, 2015, 35(2): 0211003.

Li Jin, Xing Fei, Wang Chong. High-precision on-orbit assessment of MTF for space CCD camera[J]. Acta Optica Sinica, 2015, 35(2): 0211003.

[9] 李铁成, 陶小平, 冯华君, 等. 基于倾斜刃边法的调制传递函数计算及图像复原[J]. 光学学报, 2010, 30(10): 2891-2897.

Li Tiecheng, Tao Xiaoping, Feng Huajun, et al.. Modulation transfer function calculation and image restoration based on slanted-edge method[J]. Acta Optica Sinica, 2010, 30(10): 2891-2897.

[10] 徐航, 李传荣, 李晓辉, 等. 一种优化的刃边法MTF 在轨评估方法[J]. 遥感信息, 2012, 27(6): 10-16.

Xu Hang, Li Chuanrong, Li Xiaohui, et al.. An optimized knife-edge algorithm for on-orbit MTF estimation[J]. Remote Sensing Information, 2012, 27(6): 10-16.

[11] Choi T, Helder D L. Generic sensor modeling for modulation transfer function (MTF) estimation[J]. Global Priorities in Land Remote Sensing, 2005: 1-12.

[12] Savitzky A, Golay M J E. Smoothing abd differentiation of data by simplified leastsquares procedures[J]. Analytical Chemistry, 1964, 36(8): 1627-1639.

[13] 蔡天净, 唐瀚. Savitzky-Golay 平滑滤波器的最小二乘拟合原理综述[J]. 数字通信, 2011, 38(1): 63-68.

Cai Tianjing, Tang Han. Least-square matching principle of savitsky-golay smoothing filter[J]. Digital Communication, 2011, 38(1): 63-68.

[14] 郭玲玲, 吴泽鹏, 张立国, 等. 遥感相机在轨点扩散函数高精度测量方法[J]. 测绘学报, 2014, 43(3): 284-289.

Guo Lingling, Wu Zepeng, Zhang Liguo, et al.. A precise method to measure the on-orbit point spread function of remote sensors[J]. Acta Geodaetiac et Cartographica Sinica, 2014, 43(3): 284-289.

[15] 李铁成. 基于倾斜刃边法的遥感图像调制传递函数计算及图像复原技术研究[D]. 杭州: 浙江大学, 2011.

Li Tiecheng. Research on Modulation Transfer Function Calculation and Remote Sensing Image Restoration Based on Slanted-Edge Method[D]. Hangzhou: Zhejiang University, 2011.

[16] 赵慧洁, 秦宝龙, 贾国瑞. 高光谱遥感系统调制传递函数的在轨测试[J]. 光学精密工程, 2011, 19(6): 1235-1243.

Zhao Huijie, Qin Baolong, Jia Guorui. On-orbit detection for modulation transfer function of hyperspectral remote sensing system[J]. Optics and Precision Engineering, 2011, 19(6): 1235-1243.

陈起行, 何斌, 王俊琦. 刃边法边缘扩散函数最优提取方法[J]. 激光与光电子学进展, 2015, 52(11): 111003. Chen Qihang, He Bin, Wang Junqi. Optimal Extraction for Edge Spread Function in Knife-Edge Method[J]. Laser & Optoelectronics Progress, 2015, 52(11): 111003.

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