基于深对流云的夜间微光传感器定标技术

NPP(National Polar-orbiting Parternership)卫星于2011年10月28日发射升空,其上搭载的VIIRS(Visible Infrared Imaging Radiometer Suite)传感器包含DNB(Day Night Band)波段,该波段采用三增益设置,可在白天、晨昏甚至夜间实现地球观测.其中,在夜间月光条件下,主要采用高增益,定标实现较为困难.以此为目的,首次提出了基于深对流云的夜间微光传感器替代定标方法.将月亮辐射模型引入到SCIATRAN中,实现了全天候的辐射传输计算,并利用该改进的辐射传输模式,通过确定深对流云光学属性、地表特性及大气廓线等的参考值,对接收大气层顶反射辐射进行敏感性试验,分析得到主要影响因子为云光学厚度COT(Cloud Optical Thickness)与有效粒子半径Re(Effective Radius),且利用固定参考值得到最大模拟误差小于5%.为了检验该替代方法的可行性,通过改进的辐射传输模式,对2012年08月~2013年01月共6个月夜间DNB数据所确定的深对流云替代目标像素进行辐射传输模拟,结果表明基于深对流云的替代定标方法效果较好,基于日变化的辐射不确定度在±10%之内,可实现对DNB夜间高增益阶段的直接辐射定标.     

中波红外火情遥感的大气辐射传输特性

分析2005年在广西武鸣机场进行的人工火情测量试验中获得的由BOMEM MR-154FT高光谱仪测定的火情光谱特征发现:在中波4.34～4.76μm光谱段的辐亮度比火情遥感监测常用通道3.5～4.0μm有更强的响应关系.用模拟计算方法进一步分析了中波红外光谱的大气辐射特性.分别对中波波段主要的吸收气体(水汽、水汽连续、二氧化碳混合、二氧化碳、一氧化二氮、臭氧和气溶胶)影响辐射传输的情况进行模拟计算;选择中国内陆地区18种大气廓线样本和4种大气模型,分别进行辐射传输计算,获得了3～5μm谱段分谱大气透过率和大气程辐射等,并比较了新选择通道(4.42～4.78μm)与传统通道(3.55～3.95μm)在地面和传输到大气层顸后辐亮度的变化情况,为今后应用新探测通道奠定了基础.     

地面反射波谱与卫星磁带记录数据间关系模拟的初步探讨──以冬小麦和土壤为例

根据冬小麦和土壤地面反射波谱测试数据，计算了在卫星高度上与卫星磁带数据相对应波段的辐亮度值，对ＮＯＡＡＡＶＨＲＲ和ＴＭ某些通道的差值绿度植被指数ＤＶＩ、归一化绿度植被指数ＮＤＶＩ和比值绿度植被指数ＲＶＩ的分析，从理论上证明了目前采用ＴＭＤＶＩ＿（４，３）提取冬小麦种植面积和ＮＯＡＡＮＤＶＩ＿（２，１）区分植被和土壤背景的有效性。同时在冬小麦种植面积和长势监测方面提出了一些新建议。     

A validation of the Radiance three-phase simulation method for modelling annual daylight performance of optically complex fenestration systems

A new capability that enables annual simulation of optically complex fenestration systems has been added to Radiance. The method relies on bidirectional scattering distribution function (BSDF) input data, which are used in an efficient matrix calculation to compute time-step performance given TMY data. The objective of this study was to explain the value of this capability to designers and developers of innovative daylighting systems and to demonstrate its speed and accuracy via comparisons of simulated to measured illuminance data for a daylight-redirecting optical louver system. The method was shown to provide valid results that accurately replicate real-world conditions with an absolute mean bias error below 13% and a root mean square error below 23%. Routine application of this new capability will not be hindered by slow computational speed for illuminance calculations. Instead, the capability will be dependent on the availability of BSDF data for daylighting, shading and fenestration systems.     

The daylighting dashboard – A simulation-based design analysis for daylit spaces

This paper presents a vision of how state-of-the-art computer-based analysis techniques can be effectively used during the design of daylit spaces. Following a review of recent advances in dynamic daylight computation capabilities, climate-based daylighting metrics, occupant behavior and glare analysis, a fully integrated design analysis method is introduced that simultaneously considers annual daylight availability, visual comfort and energy use: Annual daylight glare probability profiles are combined with an occupant behavior model in order to determine annual shading profiles and visual comfort conditions throughout a space. The shading profiles are then used to calculate daylight autonomy plots, energy loads, operational energy costs and green house gas emissions. The paper then shows how simulation results for a sidelit space can be visually presented to simulation non-experts using the concept of a daylighting dashboard. The paper ends with a discussion of how the daylighting dashboard could be practically implemented using technologies that are available today.     

面目标毫米波辐射特性研究

文中提出了一种面目标毫米波辐射特性的研究方法：在不同时间、条件下，对面目标进行测量取得了大量的天线温度数据，使用傅氏变换从天线温度中反演出视在温度，剔除目标的散射辐射温度的影响，得到目标的亮度温度。     

在红外目标模拟系统中温度及发射率对辐射照度的影响

本文以辐射理论出发,导出了在3～5μm范围内探测面上的辐射照度与目标光源的温度及发射率的关系。讨论了目标光源的温度及发射率的变化对探测面上辐射照度的影响,并给出了△E与△T及△ε的关系曲线。     

Pyrotechnic Countermeasures: IV. Radiometric Performance of a Sulphur‐based Flare Composition

Radiometric performance of a sulphur‐based flare composition has been investigated. Composition comprising sulphur, potassium perchlorate and antimony sulphide has acceptable band ratio but an order of magnitude weaker spectral efficiency than typical carbon‐based compositions. The use of other sulphur compounds with potential for increased performance is discussed. For part III see Ref. [1].     

Single image dehazing using a new color channel

Images with hazy scene suffer from low-contrast, which reduces the visible quality of the scene, thus making object detection a more challenging task. Low-contrast can result from foggy weather conditions during image acquisition. Dehazing is a process of removal of haze from the photography of a hazy scene. Single-image dehazing based on dark channel priors are well-known techniques in this field. However, the performance of such techniques is limited to priors or constraints. Moreover, this type of method fails when images have sky-region. So, a method is proposed, which can restore the visibility of hazy images. First, a hazy image is divided into blocks of size 32 × 32, then the score of each block is calculated to select a block having the highest score. Atmospheric light is calculated from the selected block. A new color channel is considered to remove atmospheric scattering, obtained channel value and atmospheric light are then used to calculate the transmission map in the second step. Third, radiance is computed using a transmission map and atmospheric light. The illumination scaling factor is adopted to enhance the quality of a dehazed image in the final step. Experiments are performed on six datasets namely, I-HAZE, O-HAZE, BSDS500, FRIDA, RESIDE dataset and natural images from Google. The proposed method is compared against 11 state-of-the-art methods. The performance is analyzed using fourteen quantitative evaluation metrics. All the results demonstrate that the proposed method outperforms 11 state-of-the-art methods in most of the cases.     

RII: Renovating the irregular illumination of digital image archives

Digitization is critical for preserving valuable culture archives such as texts and images. Considering the physical characters of digital cameras or scanners and the artificial negligence, some distortions such as under-exposure or over-exposure often appear in the digital form of archives. These distortions decrease the quality of the digital pieces and lead to disputation in some circumstances. Several methods have been used to deal with these illumination problems. These existing methods mainly focus on how to mitigate the under-exposure phenomenon in text-only or text-photo images. Over-exposure cases in which brightness comes from different orientations are not considered. Hence, we propose a novel system for renovating irregular illumination (RII) to handle the over-exposure problem as well as under-exposure distortion. Experimental results show that the processing outcomes of RII can guarantee accurate restoration of the transformed digital pieces. In particular, RII can be extended to improve the uneven light distribution problem for complicated and colorful images.