Noise Model of a Multispectral TDI CCD Imaging System and Its Parameter Estimation of Piecewise Weighted Least Square Fitting

被引：13

作者：

Zheng, Liangliang ^{[1
]}

Jin, Guang ^{[1
]}

Xu, Wei ^{[1
]}

Qu, Hongsong ^{[1
]}

Wu, Yong ^{[1
]}

机构：

[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China

来源：

IEEE SENSORS JOURNAL | 2017年 / 17卷 / 12期

关键词：

Noise model; time-delayed integration (TDI); charge-coupled device (CCD); imaging system; parameter estimation;

D O I：

10.1109/JSEN.2017.2696562

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The time-delayed integration (TDI) charge-coupled device (CCD) imaging technology is widely used in remote sensing field and accurate estimation of noise level is essential to assure good performance of denoising. Therefore, in order to achieve images with high signal-to-noise ratio by the TDI CCD sensor, the noise model of the imaging system is investigated. First, the design of the imaging circuit system is presented, and the main noises of the system are analyzed, such as the TDI CCD sensor, amplifiers, and so on. Then a theoretical noise model of the imaging system is established as a priori information. An improved least square fitting method of parameter estimation is proposed. To validate the theoretical model and the proposed method, extensive tests are carried out to obtain multiple uniform images on a developed TDI CCD imaging system. The experiment results confirm that a precise noise model can be achieved by this method and it verifies the theoretical model, meanwhile. It can be used for noise removal and aided design of imaging systems to acquire high-quality images. It is meaningful for remote sensing to obtain more targets of interest.

引用

页码：3656 / 3668

页数：13