Atmospheric modulation transfer function in the infrared
fdk-aac编码原理

fdk-aac编码原理
fdk-aac是一种开源的、高性能的AAC(Advanced Audio Coding)音频编码库。
以下是fdk-aac编码的基本原理:
1.AAC编码概述:AAC是一种先进的音频编码标准,旨在提供更高的音频质量和更低的比特率。
它采用了基于子带的编码技术,通过对音频信号进行频域分析和量化来实现高效的压缩。
2.Psychoacoustic Model(心理声学模型):AAC编码使用心理声学模型分析音频信号,模拟人耳的感知特性。
这包括对音频信号的掩蔽效应进行建模,以便更有效地分配比特率给对人耳更敏感的信号部分。
3.MDCT(Modulated Discrete Cosine Transform):AAC使用MDCT作为频域变换技术,将音频信号从时域变换到频域。
这种变换有助于提取信号的频域特征,为后续的量化和编码提供基础。
4.Quantization and Coding(量化和编码):MDCT输出的频域系数经过量化和编码,以减少数据量。
AAC使用了一系列的编码技术,如Huffman编码和熵编码,来进一步压缩数据。
5.Bit Allocation(比特分配):根据心理声学模型的分析结果,AAC对每个频带分配适当的比特率,以确保对人耳敏感的频段获得更多的比特,从而提高音质。
6.码率控制:AAC编码器通常具有码率控制功能,以确保生成的编码流满足指定的比特率要求。
这对于网络传输和存储空间的有效利用非常重要。
fdk-aac是一个高度优化的AAC编码库,它在实现这些基本原理的同时,通过一系列的技术手段和算法来提高编码效率和音频质量。
大气校正与Modtran的使用

大气辐射传输及基本知识; 大气校正; Modtran的使用; 存在问题及讨论。
一、大气辐射传输及基本知识
大气辐射传输是大气中的基本物理过程之一; 发生于大气中的辐射传输过程起着多方面的作用; 来自太阳的电磁辐射是地球表层运动的主要能源,太阳短波辐射和地球—大气系统的长波辐射构成了地球—大气系统辐射平衡的基础; 大气中各种成分对不同波长电磁波的散射吸收和发射构成了复杂多变的辐射传输图像。
MODTRAN(Berk等,1989):中光谱分辨率(2cm-1 )大气透过率及辐射传输算法软件; DISORT算法(Stamnes等,1988):多次散射辐射传输算法。
二、大气校正
进入大气的太阳辐射会发生反射、折射、吸收、散射和透射,其中对传感器接收影响较大的是吸收和散射。
在没有大气存在时,传感器接收的辐照度,只与太阳辐射到地面的辐照度和地物反射率有关。 由于大气的存在,辐射经过大气吸收和散射,透过率小于1,从而减弱了原信号的强度。 同时大气的散射光也有一部分直接或经过地物反射进人到传感器.这两部分辐射又增强厂信号,但却不是有用的。
一是利用大气和地表(包括自然和人工产物)的不同辐射特性,进行目标物与背景区分,达到高准确度和高精度的目标识别(以及动目标跟踪); 另一种应用则是遥感,即利用大气和地表介质在电磁辐射传输中的不同特征,通过对特征性辐射的测量进而反演提取大气和地表的物理状态参数以及成分结构。
正是由于上述4个方面的应用需要的蓬勃发展,大气辐射传输的研究,包括理论研究、实验室测量、野外观测和验证试验等在过去几十年中取得了长足的进展。
3、大气辐射传输研究的主要内容
1)大气中各类气体分子的吸收光谱参数(及其随大气状态参数的变化); 2)大气中的气溶胶粒子(广义而言也包括云和降水粒子)的成分、粒谱结构、形状特征、其复折射指数随波长的变化,由此可计算获得的气溶胶粒子的散射和吸收特性; 3)大气辐射传输方程的求解与具体算法。
_Modulation_Transfer_Function

Figure 2. (courtesy of Schneider Optics)
DALSA Inc.
03-32-00444-00
Application Note: Pixel Pitch Vs. Lenses
4
In order to understand MTF as it applies to a specific lens, the following graphic depicts an MTF datasheet from Rodenstock. The MTF has been plotted at different resolutions (or lp/mm). Notice how as the detail increases (in lp/mm) the MTF decreases.
DALSA Inc.
03-32-00444-00
Application Note: Pixel Pitch Vs. Lenses
6
Scenario Conclusion:
The above information details the relationship between lenses and MTF, but how does this relate to the pixel pitch of a sensor and camera? Returning to our original shootout scenario: the lens used in the system is the same for both camera A and B, so should it not be resolving the same quality image? To explain this discrepancy we need to understand how the pixel pitch relates to MTF. This can be easily done through the following method:
关于雾天图像增强和恢复算法的文档

关于雾天图像的增强和复原现状:国内外已有很多研究人员将大气对成像的影响进行了分析和评估。
散射理论在分析大气的影响中发挥了巨大的作用,由于单射模型不能准确表现实际复杂介质的影响,多射模型得到了广泛的关注。
在光和大气介质交互问题的研究中,或多或少地借鉴了物理学科的知识,其中输运理论很常见,并被广泛应用于恶劣天气条件对图像退化的建模。
在研究尘雾等恶劣天气条件对成像影响模型的基础上,对退化图像进行复原处理取得了较大的进展。
当场景深度已知和大气条件的精确信息己知时,消除一幅图像的天气条件的影响已被证明是可行的;在计算机视觉方面,算法已经发展到不用已知大气及场景深度信息,通过处理至少两张在恶劣天气条件下拍摄的图像可以自动地计算出场景的结构和恢复场景的色度及对比度。
目前,对雾图进行清晰化处理的方法大体上有两类:基于模型的和非模型的算法。
其中,基于模型的算法通过了解图像退化的内在原因而进行逆运算来改善图像的对比度;非模型的算法并不要求知道图像退化原因的信息。
用非模型的方法处理图像我们称之为图像增强;用基于模型的方法处理图像我们称之为图像恢复,这类算法更加可靠,因为它们利用了图像退化的物理机理,其目的在于提高退化图像的保真度。
近年来,上述两个方面的研究都取得了较大的进展,特别是基于物理模型的复原问题,吸引了越来越多研究者的注意,以下分别就其研究现状做简要的介绍。
●图像增强处理的研究现状图像增强是图像处理的基本手段,是指按特定的需要突出一幅图像中的某些信息,同时,削弱或去除某些不需要的信息的处理方法。
图像对比度增强是图像处理领域中的一个传统的话题,同时又一直是较为活跃的研究领域,不断有新方法与新手段引入使该领域保持旺盛的生命力,并不断有新成果面世。
●图像恢复处理的研究现状近年来,不少学者在大气散射物理模型的基础上,对恶劣大气条件下的成像机理进行了深入的分析,并提出了一些新的雾天图像增强方法。
与传统图像增强相比,这些方法是建立在雾天成像的物理过程之上的,因此更具有针对性,处理效果也较为理想。
modtran计算单位甲烷吸收光谱曲线

Modtran(Moderate Resolution Atmospheric Transmission)是一种用于计算大气传输的软件,广泛应用于气象学、环境科学、遥感技术等领域。
通过Modtran软件,可以精确计算地球大气层中不同气体的吸收光谱曲线,对于研究大气成分及其对光学传输的影响具有重要意义。
本文将以单位甲烷的吸收光谱曲线为例,介绍如何使用Modtran进行计算,并分析计算结果。
1. Modtran软件简介Modtran是由美国空军航空航天局(AFRL)开发的大气传输模拟软件,旨在模拟大气层中各种气体对光的传输情况。
该软件能够考虑地球大气层的温度、压力、湿度等参数,精确计算大气对各种波长光的吸收、散射、透射等过程,对于遥感技术、气象预测、大气化学等研究具有重要的应用价值。
2. 单位甲烷吸收光谱曲线计算我们需要准备计算所需的输入参数,包括大气条件、光源条件以及单位甲烷的吸收特性参数。
在Modtran软件中,我们需要输入大气层的温度、压力、湿度等参数,以及光源的波长范围、光照强度等参数。
我们还需要提供单位甲烷在各个波长下的吸收系数等数据。
这些数据可以通过实验测量、理论计算等手段获取。
在输入参数准备就绪后,我们可以启动Modtran软件进行计算。
软件会根据输入的数据,模拟大气层中单位甲烷对光的吸收过程,并输出吸收光谱曲线。
这个曲线可以直观地展示不同波长光在大气层中的吸收情况,帮助我们理解单位甲烷在大气中的光学特性。
3. 结果分析与讨论获得单位甲烷吸收光谱曲线后,我们可以对结果进行分析和讨论。
我们可以从图形上观察光谱曲线的形状和特点,了解单位甲烷在不同波长下的吸收强度。
通过比较不同波长下的吸收峰值及其相对强度,可以帮助我们研究单位甲烷对太阳辐射的吸收规律。
另外,我们还可以计算单位甲烷在某个波长范围内的吸收率、吸收截面等参数,进一步深入了解单位甲烷的光学性质。
这些参数对于大气化学研究、环境监测等方面具有重要的参考价值。
MTF概论

MTF 基礎第一章:MTF概論1-1 MTF的定義Modulation的定義--在這一個課程中,我們要進行的是有關鏡頭的MTF量測介紹。
MTF 的英文全名是Modulation Transfer Function,翻譯成中文就是光學調制傳遞函數,它有另外一個名稱叫做Contrast Transfer Function,也就是:對比度轉換函數。
從名稱來看,我們可以知道MTF有光學對比的概念在裡面。
現在就先來看Modulation (M)的定義:Modulation 是I的maximum減去I的minimum除以I的maximum加上I的minimum;也就是(光的最亮度減去光的最暗度)與(光的最亮度加上光的最暗度)的比值,所得出來的結果M,就是光的對比度。
我們舉例來看,假設有一個標靶,它的黑白條紋中最亮的光強度值(Imax )為1000,最暗的光強度值(Imin)為2,我們可以得到Imax - Imin =1000-2=998,Imax + Imin=1000+2=1002,這兩個值相比等於998除以1002,也就等於0.996。
所以這個測試標靶中,黑白條紋的modulation (M)的值為0.996,我們可以把它看成是測試標靶中黑白條紋的對比值。
Modulation基本上可以看成是經過歸一化的對比值。
何謂歸一化?歸一化指的是normalize,意思是它的最大值為1。
怎麼說呢?就一般投影機測試而言,對比度的定義是Imax 除以Imin ,如果以這個例子來看,Imax=1000 ,Imin =2,那麼它的對比度就是(Imax/Imin )=1000/2=500。
由此例,我們可以看出歸一化的對比度(Modulation)與一般的對比度(Contrast)的定義上的不同。
然而,相同的是--它們都是對比度的表示方式。
MTF的定義--在物空間,有物的Modulation。
在像空間,有成像的Modulation,我們知道Modulation其實代表的就是對比度(contrast)。
气液界面Marangoni效应对传质系数的影响

消除传质过程中 N2 向液相的 经电恒温装置后在气液接触 由 使
与气相传质后流入溶剂回收罐
电恒温装置由电加热器和 PID 控制仪表组成 PID 控制仪表控制电加热器对气体和液体加热 其温度稳定于 (25 0.1) 气液相间的质量传递 传质状况 温
因为本文考察的重点是 气液相保持相同温度以消除 使测量数据真实地反映 减少传质介质与 各
气液相传热对传质的干扰
另外气液接触所在区域用空气浴维持恒 此外为了减少振动的影响
使其温度与气液相温度相同
环境之间的热交换 装置组成元件如泵 施
气液接触器等均采取了防震措 气液接触长度为 液体由上部
主视图 Front view 图2 侧视图 Side view 气液接触器结构图
气液接触器结构如图 2 所示 15c m 气体流道宽 14c m 进口进入 厚度
2
实
验
本文建立了一套气液接触传质设备 N2 与液体 逆流接触将液体中使表面张力降低的溶质解吸出 来 从而可能引发 Marangoni 对流 提高传质速率 实验流程如图 1 所示 纯 N2 由气瓶经水罐预饱和水 蒸气后 经电恒温装置由下部进入气液接触器 与 液膜逆向流动接触传质后放空 溶液先由 N2 预饱和 扩散 然后由泵输送 器内呈液膜下流 储罐中的异丙醇稀
(5)
传质过程中如果液相 Marangoni 效应发生
否则 F 等于 1 因此根
据实验结果计算 F 的值即可判断 Marangoni 效应是否发生以及 Marangoni 效应对传质速率的影响程度
4
实验结果与讨论
图 3 和 4 中绘出了不同气速下按式 (2) 计算的实验总的液相传质系数 KLexp 随液相进出口浓度差∆C 从图中可以看出 KLexp 值总体上随浓度差∆ C 的增大而增大 但在浓度差很小和很大时
大气辐射传输模型及其软件

大气辐射传输模型及其软件∗焦斌亮 高志强 李素静 白云燕山大学信息科学与工程学院,河北 秦皇岛 066004摘 要:本文主要阐述了大气辐射传输模型在大气订正中的应用,介绍了大气辐射传输原理,详细地叙述了6S 、LOWTRAN 、MODTRAN 和 FASCODE 等模型,同时提到了在以上模型基础上发展起来的其它辐射传输模型及软件,并对相应的模型及软件的共同特点和主要区别进行了比较,认为大气辐射传输模型在当前的大气订正模型中依然是比较可靠而常用的方法。
关键词:大气订正 辐射传输 6S MODTRAN1 引 言大气订正是遥感技术的重要组成部分,主要包括大气参数估计和地表反射率反演两个方面。
如果获得了大气特性参数,进行大气订正就变得相对容易,但是获得准确的大气特性参数通常比较困难。
通常有两类方法用辐射传输方程来计算大气订正函数:一种是直接的方法,对于大气透过率函数和反射率函数,通过对模型的积分来得到;另一种是间接的方法,它不是直接计算所需要的大气订正函数,而是通过辐射传输模型输出的表观反射率,结合模型输入的参数来求解。
大气订正方法有很多,比如:基于图像特征的相对订正法、基于地面线形回归模型法、大气辐射传输模型法和复合模型法等。
它是利用电磁波在大气中的辐射传输原理建立起来的模型对遥感图像进行大气订正的方法。
其中,大气辐射传输模型(Atmospheric Radiative Transfer Model)法是较常用的大气订正方法,它用于模拟大气与地表信息之间耦合作用的结果,其过程可以描述为地表光谱信息与大气耦合以后,在遥感器上所获得的信息,其中考虑了光子与大气相互作用机理,物理意义明确,具有很高的反演精度。
2 大气辐射传输原理电磁辐射在介质中传输时,通常因其与物质的相互作用而减弱。
辐射强度的减弱主要是由物质对辐射的吸收和物质散射所造成的,有时也会因相同波长上物质的发射以及多次散射而增强,多次散射使所有其它方向的一部分辐射进入所研究的辐射方向。
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Atmospheric modulation transfer function in theinfraredKobi Buskila,Shay Towito,Elad Shmuel,Ran Levi,Natan Kopeika,Keith Krapels,Ronald G.Driggers,Richard H.Vollmerhausen,and Carl E.HalfordIn high-resolution ultranarrowfield-of-view thermal imagers,image quality over relatively long pathlengths is typically limited by atmospheric degradation,especially atmospheric blur.We report ourresults and analyses of infrared images from two sites,Fort A.P.Hill and Aberdeen Proving Ground.The images are influenced by the various atmospheric phenomena:scattering,absorption,and turbu-lence.A series of experiments with high-resolution equipment in both the3–5-and8–13-m regions atthe two locations indicate that,as in the visible,image quality is limited much more by atmosphere thanby the instrumentation for ranges even of the order of only a few kilometers.For paths close to theground,turbulence is more dominant,whereas for paths involving higher average elevation,aerosolmodulation transfer function͑MTF͒is dominant.As wavelength increases,turbulence MTF also in-creases,thus permitting aerosol MTF to become more dominant.A critical role in aerosol MTF in thethermal infrared is attributed to absorption,which noticeably decreases atmospheric transmission muchmore than in the visible,thereby reducing high-spatial-frequency aerosol MTF.These measurementsindicate that atmospheric MTF should be a basic component in imaging system design and analysis evenin the infrared,especially as higher-resolution hardware becomes available.©2004Optical Society ofAmericaOCIS codes:110.3080,110.4100,010.1290,010.1330,010.1110,290.1310.1.IntroductionIn this paper we describefield experiments in which images of infrared test targets were collected to in-vestigate atmospheric modulation transfer function ͑MTF͒in the IR.Thefield experiments were held inAugust2000at two sites:Fort A.P.Hill͑APHill͒in Virginia and Aberdeen Proving Ground͑APG͒in Maryland.Both sites are near Washington,D.C. Whereas at the APG site the surface is planar and the path elevation was close to the surface,at site APHill the surface was irregular with hills and valleys.A preliminary paper on the APG experiments was published recently.1Here we present more detailed analysis and measurements at both locations.Thetargets used in this research were4ftϫ4ft͑1.3mϫ1.3m͒aluminum panels of0.25-in.͑0.64-cm͒thick-ness.The panels were set in stands4ft above theground.Panels were either bare polished metal orwere painted with high-emissivityflat black paint.The panels were set out in the following order:twobare aluminum panels,two black panels,and twobare aluminum panels.The target panels were ar-ranged this way so that multiple edges were availablein thefield of view that could be used to determineMTFs at different spatial locations.The measuringsensors were in the IR range.In the mid-IR window ͑3–5m͒the sensor is a Merlin midwave-IR͑MWIR͒system manufactured by Indigo.The sensor was a320ϫ256staring array cryocooled camera.This isa staring array with a maximum integration time of16.7ms.Thefield of view was0.36by0.27deg.Inthe far-IR window͑8–12m͒the sensor was an In-frametrics760radiometer with30ϫoptics.Heretoo,thefield of view was similarly ultranarrow.However,this is a scanning-type system with an in-tegration time per detector of the order of a microsec-ond.Additional details can be found in Ref.1.Inboth cases hardware MTFs including optics extendout beyond15cycles͞mradϪ1.The long-distanceK.Buskila,S.Towito,E.Shmuel,R.Levi,and N.Kopeika͑kopeika@ee.bgu.ac.il͒are with the Department of Electrical andComputer Engineering,Ben-Gurion University of the Negev,Beer-Sheva84105,Israel.K.Krapels,R.G.Driggers,and R.H.Vollmerhausen are with the U.S.Army Night Vision and Elec-tronic Sensors Directorate,Fort Belvoir,Virginia22060-5806.C.E.Halford is with the University of Memphis,Memphis,Ten-nessee38152.Received4April2003;revised manuscript received2September2003;accepted26September2003.0003-6935͞04͞020471-12$15.00͞0©2004Optical Society of America10January2004͞Vol.43,No.2͞APPLIED OPTICS471horizontal imaging͑3.6km at APG and4.2km at APHill͒of the passive target panels was sampled in 12bits,256frames each time.A Fourier analysis of the received images from those distances was per-formed to determine the overall system MTF,which includes both the camera and the atmosphere.As described in Ref.1,because of the low signal-to-noise ratio,a Gaussianfit was used.In addition,a Fou-rier analysis was made on imaging received from nearby target boards at a distance of130m.The MTF,as a result of that image,was considered the camera’s MTF without the influence of the atmo-sphere.The overall system MTF͑long-range mea-surement͒was divided by the camera’s MTF͑short-range measurement͒to obtain the MTF of the atmosphere.Analyses of long-distance images were made with regard to time and space.The model for turbulence MTF,which we used forthe implementation of this experiment,is summa-rized by Kopeika2and derived previously by Good-man.3The turbulence strength is characterized by the refractive-index strength coefficient C n2.The transfer function that is attributed to the turbulence is implemented as either a long-term exposure model or a short-term exposure.Short-term exposure is defined as a time short enough to stop temporal changes͑less than several milliseconds typically͒. The long-term exposure MTF is described by2,3 MTF LEϭexp͑Ϫ57.4a5͞3C n2Ϫ1͞3R͒,(1) where a is the waveform constant,3͞8for a spherical wave and1for a plane wave;is the spatial fre-quency in cycles per radian;C n2is the index of re-fraction structure parameter in metersϪ2͞3;is the wavelength in meters;and R is the distance from the target in meters.For a short-term exposure the MTF is2,3MTF SEϭexp͕Ϫ57.4a5͞3C n2Ϫ1͞3R͓1Ϫ͑͞D͒1͞3͔͖,(2) where D is the diameter of the optics in meters andis0.5for a farfield and1for the nearfiing these models we calculated turbulence MTF based on C n2.As described in Ref.1,the values of C n2were mea-sured by two independent techniques:angle of ar-rivalfluctuations2and scintillations.2There was good agreement between C n2measurements with both techniques.To avoid saturation,the scintil-lometer measurements were over only a1-km path of the propagation path,near the sensor.As discussed in Ref.1,a short-term exposure ver-sion of turbulence MTF is used.The MWIR system maximum detector integration time of16.7ms is much closer to the short-term than the long-term exposure criterion.The far-IR͓long-wave infrared ͑LWIR͔͒system integration time per detector of the order of a microsecond clearly justifies our using Eq.͑2͒to calculate turbulence MTF.For the mid-IR,the short-term exposure justification is somewhat less clear.However,if we consider the actual MTF cal-culation,the difference between short-and long-term exposure turbulence MTFs is not that great,as can be seen in Figs.1and2.Hence,because the exposure time for the staring array mid-IR system is much closer to the short-exposure than long-exposure cri-terion,the error in this approximation is limited. For the far IR,there is no such error.Previous investigations of atmospheric MTF in the IR2,4,5included aerosol size distribution measure-ments and involved equipment with approximately 1͞10the resolution in a dry climate with high aerosol concentration,with the imager at the top of a30-m-high building.The present experiments involve much higher-resolution equipment in a humid cli-mate with the receiver approximately1.5m above the ground.Hence,the present experiments including those in Ref.1are much more appropriate to detect effects of optical turbulence in the thermal IR. Motivation for this research is the need for a de-tailed image system analysis to improve system de-sign.Often identification of the weakest MTF can permit image restoration to correct from such blur, including atmospheric blur.The results thatwe Fig.1.Short-and long-term exposure turbulence MTFs from measurements of Cn2at APG at noon for3600-m line of sight at a 4-m wavelength on22August2000at14:00.Fig.2.Short-and long-term exposure turbulence MTFs frommeasurements of Cn2at APG for a3600-m line of sight at a4-m wavelength on22August2000at19:00.472APPLIED OPTICS͞Vol.43,No.2͞10January2004provide here indicate that atmospheric blur is so dominant over relatively long path lengths that the hardware resolution is far from being realized.This has adverse effects on target acquisition.Charac-terization of such limiting atmospheric MTF and im-plementation in image restoration can noticeably improve target acquisition.22.ResultsA.Modulation Transfer Function of the Aerosols: Dependence on Wavelength and Time of DayIn this subsection we consider the influence of the aerosols on the atmospheric MTF.To determine the influence of aerosols wefind the overall͑long-range͒system MTF,divide it by the͑short-range͒camera’s MTF,and compare the resulting atmospheric MTF with turbulence MTF.If they are identical then the aerosol MTF is negligible.If they are not,the ratio between them is the aerosol MTF.The scintillation measurements of turbulence strength and the overallatmospheric MTF measurements from the edge re-sponse were simultaneous.As described above,there were two edges that dis-tinguished between high-and low-emissivity por-tions of the bar chart.Edge responses were measured from each.The gradient of each yielded a line-spread function,a Fourier transform of which yielded overall MTF.As described in Ref.1,C n2 values measured by angle-of-arrivalfluctuations from the left and right edges were sometimes differ-ent near midday.This was attributed to emitted heat from the dark panels,caused by crossing winds, that appeared in front of a light panel,thus causing changes in turbulence strength.Because we want to concentrate here on atmo-spheric MTF rather than on the emissivities of ma-terials used in a target,we use the scintillometer measurements of C n2rather than the angle-of-arrival fluctuation.As described above,edge response mea-surements from the long-range and short-range bar charts were used to obtain overall system MTF and camera MTFs for each measurement.Both the long-range and short-range bar charts were imaged simultaneously so that we could minimize any possi-ble vibration effects caused by winds.The overall atmospheric MTFs measured this way from both the right-and left-edge response functions were gener-ally quite similar.The case of greatest difference is shown in Figs.3and4.In other cases,as in Figs.5 and6,the atmospheric MTFs measured from both edge response functions are almost identical. Figures3–7represent MWIR measurements and Figs.8–10represent LWIR measurements at APG. From Figs.5–7for MWIR wavelengths during the day,we can see that the influence of the aerosols was not significant at APG.However,in Figs.3and4we can see the presence of a noticeable aerosol MTF at that time,causing a knee in the overall atmospheric MTF.This is characteristic of aerosol MTF.2This happened because clouds at that time caused a sud-den decrease in C n2.It is clear that in all cases atmospheric MTF cannot be neglected,especially closer to midday when turbulence is maximum.It is clear from Figs.3–10that,without good image res-toration2from atmospheric blur,the high resolution of the hardware͑15cycles͞mrad͒will not be realized. At APHill significant aerosol MTFs are also mea-sured in the LWIR,as can be seen in Figs.11–13. However,they were also observed in the MWIR wavelengths as can be seen in Figs.14–17.In all these cases atmospheric MTF is noticeably lower than turbulence MTF.In summary,at APG,aerosol MTF was negligible for most of the MWIR measurements͑except for Figs. 3and4͒whereas aerosol MTF was significant for all the LWIR measurements.At APHill,aerosol MTF was significant for all measurements in both the MWIR and the LWIR bands.Indeed,the shape of the overall atmospheric MTF is dominated by that of aerosol MTF,with a clearly defined knee in the MTF curve.2We attribute the difference in MWIRmea-Fig.3.MTF right edge at APG for MWIR on22August2000at11:58.Fig.4.MTF left edge at APG for MWIR on22August2000at 11:58.10January2004͞Vol.43,No.2͞APPLIED OPTICS473surements to the differences in topography at both locations.At APHill the higher average elevation gives rise to a reduction in C n 2and therefore to a rise in turbulence MTF,reducing its signi ficance and thereby allowing aerosol MTF to become more dom-inant,so much so that overall atmospheric MTF there is dominated by an aerosol MTF shape with a sharp knee at the aerosol MTF spatial-frequency cut-off.2At APG overall atmospheric MTF does not ex-hibit such a sharp knee for MWIR imaging.We attribute the dominance of aerosol MTF at LWIR wavelengths in both locations to the wave-length dependence of Eq.͑2͒,which causes turbu-lence MTF to be less signi ficant at longer wavelengths.B.Atmospheric Modulation Transfer FunctionIn this subsection we compare the atmospheric MTF from both experimented sites.Figure 18shows the MTFs of the images for all measurements.We can clearly distinguish the MTFs at APHill because theyare wider than those at APG despite the shorter path length at APG ͑3600m at APG,4235m at APHill ͒.The explanation is that the APG site is closer to the ground than the APHill site,which causes C n 2to increase and MTF to decrease ͑see Table 1͒.1.Spatial EffectsAnother comparison that can be performed between the areas is to look at the whole image rather than only at the target boards,as can be seen in Figs.19͑a ͒and 19͑b ͒.At site APG we can see the whole target board,but it is blurry with gradual edge spread func-tion transitions ͑and a correspondingly narrow MTF function ͒.At site APHill we can see interference on the right side of the target and a water puddle or a different element that blocks transitions from the ground to the atmosphere ͑in front of the target im-age ͒.The white target boards on the left side have vanished from the image because of equal energy emission of the surroundings.In spite of that,the right-edge transition is still sharp andimmediate.Fig.5.MTF left edge at APG for MWIR on 22August 2000at14:08.Fig.6.MTF right edge at APG for MWIR on 22August 2000at14:08.Fig.7.MTF left edge at APG for MWIR on 22August 200at16:04.Fig.8.MTF left edge at APG for LWIR on 22August 2000at 12:10.474APPLIED OPTICS ͞Vol.43,No.2͞10January 2004Fig.9.MTF left edge at APG for LWIR on22August2000at15:04.Fig.10.MTF right edge at APG for LWIR on22August2000at18:00.10January2004͞Vol.43,No.2͞APPLIED OPTICS475Fig.11.MTF atmospheric left edge at APHill for LWIR on16August2000at13:01.Fig.12.MTF atmospheric right edge at APHill for LWIR on16August2000at15:19. 476APPLIED OPTICS͞Vol.43,No.2͞10January2004Fig.13.MTF atmospheric right edge at APHill for LWIR on16August2000at17:53.Fig.14.MTF atmospheric left edge at APHill for MWIR on16August2000at12:49.10January2004͞Vol.43,No.2͞APPLIED OPTICS477Fig.15.MTF atmospheric right edge at APHill for MWIR on16August2000at12:49.Fig.16.MTF atmospheric right edge at APHill for MWIR on16August2000at14:31. 478APPLIED OPTICS͞Vol.43,No.2͞10January2004The conclusions for the overall system MTF of the image are also relevant to the atmospheric MTF be-cause the atmospheric MTF can be obtained when we divide the overall system MTF by the camera ’s MTF ͑that is constant ͒.In some of the images that we have analyzed,from both sides of the image we found a difference between the MTF of the right side compared with that of the left side.We can see this difference in the LWIR images in Figs.14and 15and 20and 21.The con-trast between the high-and low-emissivity boards is usually better on the right side than on the left,con-forming to the wider and higher MTFs for the rightedge on most graphs in which MTFs for both edges are displayed.Exceptions are Figs.3and 4for MWIR at APG.2.Temporal EffectsTemporal effects are also shown in Figs.20and 21.The worst images are those near midday when tur-bulence is strongest.C.ErrorsSources of error include the short-term exposure as-sumption for MWIR turbulence MTF that,as shown in Figs.1and 2,is usually small compared to the difference between turbulence and atmospheric MTFs for the MWIR measurements,and even more so for the LWIR measurements.This error is small because the time exposure for the MWIR equipment is much closer to that required for small exposure than for long exposure.For the LWIR equipment,the exposure is so short that there is no error intheFig.17.MTF atmospheric left edge at APHill for MWIR on 16August 2000at17:51.Fig.18.MTF comparison at APHill and APG for LWIR.Table 1.C n 2Data at APG on 22August 2000and APHill on16August 2000Time ͑h ͒APG ͑10Ϫ14͒APHill ͑10Ϫ14͒11:009 1.9713:0015 1.6514:0014 1.916:0011 2.618:00 4.4 1.2320:001.20.8610January 2004͞Vol.43,No.2͞APPLIED OPTICS 479short exposure modeled here,as described at the end of Section 1.Another source of error is the fact that the scintil-lometer measurements of C n 2were only over a por-tion of the line of sight ͑from a camera extending 1km toward the distant target ͒rather than the entire line of sight.However,it is the turbulence in the region closer to the camera that dominates the image plane turbulence.2Therefore differences between C n 2at distances longer than a kilometer and those mea-sured within a kilometer from the cameras have a relatively small effect on the value of C n 2affecting the images.Another source of error is the noise or uncertainty in measuring turbulence MTF,especially at high spa-tial frequencies where noise can become a problem.Examination of Table 2and Fig.10in Ref.1indicates that,at low values of the turbulence MTF at high spatial frequencies,such errors were limited to ap-proximately 20%,or approximately Ϯ10%of the tur-bulence MTF values plotted here.Another source of error is the validity of the as-sumption that turbulence and aerosol MTFs are in-dependent of one another.A statistical regression coef ficient model with which to predict the refractive-index structure coef ficient according to weather was carried out in Ref.6.Indeed,it was found that high aerosol loading of the atmosphere is associated with noticeably increased turbulence strength,attributed to increased atmospheric warming derived from ab-sorption of light by aerosols.This means that,strictly speaking,aerosol and turbulence phenomena are not completely independent of one another.However,it was found that this occurs infrequently and when it does,the statistical signi ficance is small,being of the order of 10–15%.This means that to a first approximation the multiplication of turbulence MTF by aerosol MTF to compose atmospheric MTF is reasonable.Accordingly,designating aerosol MTF as MTF A and overall atmospheric MTF by M A ,MTF SE MTF A ϭM A .(3)The errors in measuring overall atmospheric MTF are rather small,being based on direct measurement of the line-spread function rather than time-varying scintillations.Therefore differentiating Eq.͑3͒yields⌬MTF A ͞MTF A ϭϪ⌬MTF SE ͞MTF SE ,(4)where ⌬designates the errors.The minus sign in-dicates that if turbulence MTF is underestimated then aerosol MTF is overestimated,and vice versa.Because the turbulence MTF error magnitude is es-timated at Ϯ10%,then the same holds for the aerosol MTF error magnitude as well.The above errors are too small to change the conclusions here,described in Section3.Fig.19.͑a ͒Image from APG,LWIR on 22August 2000at 15:03.͑b ͒Image from APHill,LWIR on 16August 2000at14:12.Fig.20.Images from ͑a ͒APG on 22August 2000and ͑b ͒APHill on 16August 2000for LWIR for different hours of theday.Fig.21.͑a ͒APG for LWIR on 24August 2000at 09:05.͑b ͒APG for LWIR on 23August 2000at 12:07.͑c ͒APG for LWIR on 22August 2000at 19:04.͑d ͒APHill for LWIR on 22August 2000at 11:00.480APPLIED OPTICS ͞Vol.43,No.2͞10January 20043.Discussion and ConclusionsWith the advent of high-resolution IR equipment,these experiments indicate that,for ranges of the order of even a few kilometers,image resolution is dominated much more by the atmosphere than by the equipment,even in the thermal IR.Atmospheric MTF should therefore become a basic component in thermal imaging system design and analysis.Both wavelength and elevation have critical roles.In Fig.18we can see that the MTF graphs at APHill are wider than those at APG despite the longer distance at APHill ͑4235m as compared with 3600m ͒.The explanation is that the APG site is at a lower eleva-tion ͑1.5m ͒than the APHill site,which causes C n 2to increase and the MTF to narrow.Data for C n 2are presented in Table 1and Fig.22.The smaller values of C n 2at APHill give rise to more noticeable aerosol MTFs in both the MWIR and the LWIR spectral regions,whereas at APG aerosol MTF is noticeable primarily at LWIR and less so at MWIR.The reason for the latter is probably that,for the same value of C n 2,the wavelength dependence of turbulence MTF ͓Eqs.͑1͒and ͑2͔͒causes it to be higher at longer wavelengths,thus permitting a more noticeable role for aerosol blur at longer wavelengths.It is interest-ing to consider the clear signi ficance of aerosol MTF at both locations for LWIR radiation.Because of the long wavelengths,scattering is diminished in this wavelength region.However,aerosol MTF is also strongly dependent on absorption by aerosols and at-mospheric molecules,which are also particulates.2,7The idea is that image transmission through particu-lates involves both a sharp unscattered light image and a blurred scattered light image.By conservation of energy,interaction of a photon with a particulate can involve either scattering or absorption,but not both.Hence it is the clear unscattered image that is more likely to be attenuated by absorption rather than the blurred scattered image because the latter has been scattered.2,7Therefore it cannot be absorbed.This implies that aerosol MTF amplitude is decreasedso that its high-spatial-frequency asymptotic value is approximately equal to atmospheric transmission where atmospheric transmission is governed by both absorption and scattering,as derived in detail else-where.7In this way absorption degrades image qual-ity.In the LWIR region,there is signi ficant absorption especially by both H 2O and CO 2,so the aerosol MTF is affected strongly by absorption.The weather during these experiments in August in the Washington,D.C.area was rather humid at times.For example,at APG on 22August,the relative hu-midity until 8a.m.was close to 100%.It decreased to around 59%at 3p.m.,remained around there until approximately 6:30p.m.,rose to approximately 85%by 8p.m.,and then rose to approximately 95%by 3a.m.23August.Relative humidity began to decrease again to approximately 64%around noon 23August.Periods of high humidity tend to increase aerosol MTF more in the LWIR wavelength area because of the effects of atmospheric absorption on aerosol MTF,in addition to the increase in aerosol size generated by an increase in humidity because of adsorption and ab-sorption of moisture by the aerosols.Temperatures during the night of 22August were of the order of 16°–17°C,rising to 30°C around 3–4p.m.They decreased to around 21°C early in the morning of 23August,and then rose to around 31°C around mid-day.Higher temperatures tend to increase optical turbulence.2The weather data for APHill showed similar tendencies,only the numbers were slightly dif-ferent.The figures shown here are consistent with the weather,with turbulence MTFs being narrowest in the midafternoons when temperature was at a maxi-mum and aerosol MTFs being least prominent at that time ͑when humidity was at its lowest ͒.This is con-sistent with the measurements of thermal imaging turbulence MTF by Watkins et al .8It is assumed that atmospheric MTF is the product of turbulence and aerosol MTFs,and therefore aero-sol MTF is obtained when atmospheric MTF is di-vided by turbulence MTF.The difference in aerosol MTFs between the right and left edges stems from the assumption that aerosol and turbulence MTFs are independent of one another.However,this is not completely true.The refractive-index structure coef ficient C n 2generally increases with increased aerosol loading,which is attributed to slightly in-creased atmospheric absorption and heating by the aerosols.2,6As seen in Ref.1,cross winds cause dif-ferences in air temperature at the two edges,which causes differences in C n 2.However,temperature differences also affect aerosol concentrations 9be-cause of convection,as well as aerosol sizes because of temperature effects on evaporation of water vapor adsorbed to aerosols.9Hence it is not surprising to see different aerosol MTFs as well as turbulence 1MTFs sometimes at the right and left edges.How-ever,such differences are small.References1.K.Krapels,R.G.Driggers,R.H.Vollmerhausen,N.S.Kopeika,and C.E.Halford,“Atmospheric turbulence modulationtrans-Fig.22.C n 2comparison as a function of the time of day at APG and APHill.10January 2004͞Vol.43,No.2͞APPLIED OPTICS481fer function for infrared target acquisition modeling,”Opt.Eng.40,1906–1913͑2001͒.2.N.S.Kopeika,A System Engineering Approach to Imaging,Vol.38of the SPIE Press Monographs͑SPIE,Bellingham,Wash., 1998͒.3.J.W.Goodman,Statistical Optics͑Wiley,New York,1985͒.4.D.Sadot,G.Kitron,N.Kitron,and N.S.Kopeika,“Thermalimaging through the atmosphere:atmospheric MTF theory and 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