新型低噪聲CCD信號處理演示驗證平臺
發(fā)布時間:2018-12-26 09:38
【摘要】:CCD作為獲取圖像信號的主要器件,在可見光成像領域被看作是最有前途的探測器件,已經(jīng)應用于日常生活、軍事、航天等各個領域,尤其是在高分辨率可見光遙感衛(wèi)星上得到了非常廣泛的應用。為了獲得高質(zhì)量的遙感圖像,對CCD成像電子學系統(tǒng)的信噪比提出了很高的要求。目前國內(nèi)外的遙感衛(wèi)星CCD成像電子學系統(tǒng)主要采用相關(guān)雙采樣(CDS)技術(shù)來降低CCD成像電路的噪聲,但該方法對所能取得的效果已基本上達到了極限范圍,提升空間極其有限。雖然可以采用電子信息系統(tǒng)通過各種算法對圖像進行進一步的降噪處理,但該方法通常會濾除圖像中的高頻分量,影響圖像的MTF。為此,本文提出了一種基于CCD像素信號處理的新型低噪聲CCD成像電子學系統(tǒng)的實現(xiàn)方案。在本文中,首先運用MATLAB對該新型成像算法進行了仿真驗證;其次,搭建了主要由FPGA和高速A/D實現(xiàn)的硬件平臺;再次,通過對該算法進行研究分析,提出了實現(xiàn)該算法的電路結(jié)構(gòu),并最終在FPGA內(nèi)部實現(xiàn);最后,在搭建的硬件平臺上,通過實驗驗證了該算法。實驗證明該新型低噪聲CCD成像方法是有效可行的,不僅可以有效地提高CCD成像的信噪比,而且不會影響圖像的MTF。文中所做的工作可以為后續(xù)的研究及優(yōu)化提供了基礎。
[Abstract]:As the main device for obtaining image signal, CCD is regarded as the most promising detector in the field of visible light imaging, and has been applied in many fields such as daily life, military affairs, aerospace and so on. Especially in high resolution visible light remote sensing satellite has been widely used. In order to obtain high quality remote sensing images, the signal-to-noise ratio (SNR) of CCD imaging electronic system is very high. At present, CCD imaging electronic system of remote sensing satellite at home and abroad mainly uses correlated double sampling (CDS) technology to reduce the noise of CCD imaging circuit, but the effect of this method has basically reached the limit range, and the lifting space is extremely limited. Although the electronic information system can be used to further de-noising the image through various algorithms, this method usually filters the high-frequency components in the image and affects the MTF. of the image. A new low noise CCD imaging electronic system based on CCD pixel signal processing is proposed in this paper. In this paper, we first use MATLAB to simulate the new imaging algorithm. Secondly, we build a hardware platform which is mainly realized by FPGA and high speed A / D. Thirdly, through the research and analysis of the algorithm, the circuit structure of the algorithm is put forward, and finally implemented in FPGA. Finally, the algorithm is verified by experiment on the hardware platform. The experimental results show that the new low-noise CCD imaging method is effective and feasible. It can not only improve the signal-to-noise ratio of CCD imaging, but also not affect the MTF. of the image. The work done in this paper can provide a basis for further research and optimization.
【學位授予單位】:西安電子科技大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TP751
本文編號:2391900
[Abstract]:As the main device for obtaining image signal, CCD is regarded as the most promising detector in the field of visible light imaging, and has been applied in many fields such as daily life, military affairs, aerospace and so on. Especially in high resolution visible light remote sensing satellite has been widely used. In order to obtain high quality remote sensing images, the signal-to-noise ratio (SNR) of CCD imaging electronic system is very high. At present, CCD imaging electronic system of remote sensing satellite at home and abroad mainly uses correlated double sampling (CDS) technology to reduce the noise of CCD imaging circuit, but the effect of this method has basically reached the limit range, and the lifting space is extremely limited. Although the electronic information system can be used to further de-noising the image through various algorithms, this method usually filters the high-frequency components in the image and affects the MTF. of the image. A new low noise CCD imaging electronic system based on CCD pixel signal processing is proposed in this paper. In this paper, we first use MATLAB to simulate the new imaging algorithm. Secondly, we build a hardware platform which is mainly realized by FPGA and high speed A / D. Thirdly, through the research and analysis of the algorithm, the circuit structure of the algorithm is put forward, and finally implemented in FPGA. Finally, the algorithm is verified by experiment on the hardware platform. The experimental results show that the new low-noise CCD imaging method is effective and feasible. It can not only improve the signal-to-noise ratio of CCD imaging, but also not affect the MTF. of the image. The work done in this paper can provide a basis for further research and optimization.
【學位授予單位】:西安電子科技大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TP751
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