本文關(guān)鍵詞： 微光夜視成像系統(tǒng) 性能仿真 vieWTerra MTF 圖像融合　出處：《南京理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：微光夜視設(shè)備在國內(nèi)外軍事及民用等領(lǐng)域有著廣泛的應(yīng)用,在微光成像系統(tǒng)研制和裝備試驗(yàn)的過程中,利用微光視景仿真技術(shù)來檢驗(yàn)和評估微光成像系統(tǒng)的性能,具有高效、經(jīng)濟(jì)、安全、不受時(shí)間限制等優(yōu)點(diǎn)。因此,本文基于vieWTerra視景仿真平臺(tái)對微光夜視成像系統(tǒng)性能仿真技術(shù)及其相關(guān)應(yīng)用進(jìn)行了深入研究。首先,本文給出了微光夜視成像系統(tǒng)性能仿真的總體設(shè)計(jì)方案,在此方案的指導(dǎo)下,針對直視型和間視型兩類微光夜視成像系統(tǒng),研究了微光成像特性,包括夜天輻射特性、景物反射特性以及大氣傳輸特性;建立了微光夜視系統(tǒng)成像效應(yīng)理論模型,包括信號(hào)響應(yīng)特性、空間傳遞特性以及噪聲特性;其次,基于vieWTerra可視化視景仿真軟件平臺(tái)及ThinkStation P700工作站開發(fā)了微光夜視性能仿真系統(tǒng),利用大氣效應(yīng)計(jì)算程序PcModWin驗(yàn)證了大氣傳輸特性理論,給出了大氣平均透過率的計(jì)算方法,并根據(jù)信號(hào)能量傳遞公式模擬了大氣效應(yīng)圖像;研究了影響超二代像增強(qiáng)器MTF的主要因素,并在大氣效應(yīng)圖像上添加MTF模糊效應(yīng),模擬微光夜視系統(tǒng)空間效應(yīng)圖像;為提高仿真圖像的真實(shí)性,在空間效應(yīng)圖像上分別添加高斯噪聲和泊松噪聲,模擬傳感器噪聲效果圖像,在此基礎(chǔ)上,給出了不同設(shè)置條件下微光夜視系統(tǒng)的仿真效果圖像及結(jié)果分析;最后,提出一種基于對比度金字塔變換及Otsu的微光與紅外圖像融合算法,分別對真實(shí)的微光與紅外配準(zhǔn)圖像以及仿真生成的微光與紅外同步圖像進(jìn)行了融合處理,并從主觀和客觀兩個(gè)角度與其他幾組經(jīng)典算法進(jìn)行了結(jié)果比較和分析,驗(yàn)證了所提算法與同步仿真視頻源的有效性和實(shí)用性。
[Abstract]:LLL night vision equipment has been widely used in military and civil fields at home and abroad, in the development of LLL imaging system and equipment testing process. Using the LLL visual simulation technology to test and evaluate the performance of the LLL imaging system has the advantages of high efficiency, economy, security, no time limit and so on. In this paper, the performance simulation technology of LLL night vision imaging system and its related applications are deeply studied based on vieWTerra visual simulation platform. In this paper, the overall design of performance simulation of LLL night vision imaging system is presented. Under the guidance of this scheme, the characteristics of LLL imaging are studied for two kinds of LLL night vision imaging systems: direct and interviewable. It includes the radiation characteristics of the night sky, the reflection characteristics of the scene and the atmospheric transmission characteristics. A theoretical model of imaging effect of LLL night vision system is established, including signal response, spatial transmission and noise characteristics. Secondly, based on vieWTerra visual simulation software platform and ThinkStation P700 workstation, a LLL night vision simulation system is developed. The theory of atmospheric transmission characteristics is verified by using the atmospheric effect calculation program PcModWin, and the calculation method of atmospheric average transmittance is given, and the atmospheric effect image is simulated according to the signal energy transfer formula. In this paper, the main factors affecting the supersecond generation image intensifier (MTF) are studied, and the MTF blur effect is added to the atmospheric effect image to simulate the spatial effect image of the LLL night vision system. In order to improve the authenticity of the simulation image, Gao Si noise and Poisson noise were added to the spatial effect image, and the sensor noise effect image was simulated. The simulation image and result analysis of LLL night vision system under different setting conditions are given. Finally, an image fusion algorithm based on contrast pyramid transform and Otsu is proposed. The real LLL and IR registration images and the simulated LLL and IR synchronization images are fused, and the results are compared and analyzed from the subjective and objective perspectives with other groups of classical algorithms. The validity and practicability of the proposed algorithm and synchronization simulation video source are verified.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN223;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李金平;王云;張洋;;微光夜視技術(shù)的發(fā)展現(xiàn)狀及民用領(lǐng)域拓展[J];中國軍轉(zhuǎn)民;2016年10期

2 陶禹;金偉其;王瑤;石峰;郭宏;;高性能近貼式像增強(qiáng)器的調(diào)制傳遞函數(shù)分析[J];光子學(xué)報(bào);2016年06期

3 金偉其;陶禹;石峰;李本強(qiáng);;微光視頻器件及其技術(shù)的進(jìn)展[J];紅外與激光工程;2015年11期

4 潘京生;邵愛飛;孫建寧;蘇德坦;陸強(qiáng);;微通道板的離子反饋對像增強(qiáng)器性能升級(jí)的影響分析及改進(jìn)途徑探究[J];紅外技術(shù);2015年04期

5 陳立偉;蔣勇;;圖像融合算法的綜合性能評價(jià)指標(biāo)[J];計(jì)算機(jī)工程;2015年02期

6 張寶輝;閔超波;竇亮;張俊舉;常本康;;目標(biāo)增強(qiáng)的紅外與微光圖像融合算法[J];紅外與激光工程;2014年07期

7 郭冰濤;王曉蕊;荊衛(wèi)國;王小兵;陳玉嬌;;不同位置強(qiáng)光源作用微光電視系統(tǒng)成像特征建模及分析[J];光子學(xué)報(bào);2014年12期

8 王文劍;史穎;任鏷;;基于虛擬現(xiàn)實(shí)技術(shù)的大型場景視景仿真[J];山西大學(xué)學(xué)報(bào)(自然科學(xué)版);2014年01期

9 瞿中;;基于改進(jìn)的最大類間方差算法的圖像分割研究[J];計(jì)算機(jī)科學(xué);2009年05期

10 程耀進(jìn);向世明;師宏立;;三代微光像增強(qiáng)器分辨力計(jì)算理論模型[J];應(yīng)用光學(xué);2007年05期

，

本文編號(hào)：1477114