Choice of optimal exposures in photographing the earth’s surface by multispectral photographic equipment

An analysis of radiation fluxes entering the image plane of the spectral channels of multispectral photographic equipment (MSPE) used in photographing the earth’s surface from space, the illumination intensity levels created by these fluxes, and the degree of blackening of photographic materials depending on the exposure has been carried out. The method of selecting the optimal values for the exposure time in photographing various classes of the earth’s surface in each spectral channel of MSPE is proposed. Using the spectra of brightness, measured from aboard the orbital Salyut-7 and Mir stations, evaluations of the optimal exposure time of the basic classes of the earth’s surface depending on optical parameters of the MSPE were made. Translated from Zhurnal Prikladnoi Spektroskopii, Vol. 67, No. 1, pp. 111–116, January–February, 2000.     

High-fidelity image reproduction using angular distribution of reflected spectral intensity

A method to reproduce images of an object under various observation conditions is presented. In this method, a series of multispectral images is captured by rotating the object under a point light source of which spectral power distribution and the position are known. The captured images are decomposed into diffuse and specular reflection component images based on the dichromatic reflection and the Lambertian models. Next, the incident angle of the illumination light and the angle between viewing direction and regular reflection are calculated based on observation geometry. Finally, the image under observation geometry is synthesized using the light-ray rearrangement technique. The experiments are carried out using two-dimensional objects, leather and fabric. Most of the synthesized images are shown to be the same as the images actually captured under the assumed illumination geometry, even if the object has complex reflection like fabric for which it is difficult to apply the reflection model used in computer graphics.     

基于液晶可调滤光片的广角多光谱成像光学系统设计

基于液晶可调滤光片(Liquid Crystal Tunable Filter,LCTF)的分光原理,设计一种工作谱段为400~720nm,焦距4.5mm,视场角140°,F数为1.28的广角多光谱成像光学系统。该光学系统由前端光学镜头、LCTF和成像镜头组成,其中前端光学系统镜头将入射光束进行扩束,同时将入射光束的广角视场缩小至LCTF可接收角度范围内;LCTF利用液晶材料的电控双折射效应,实现对某一波长光信号的选择透过。根据多光谱成像系统的总体方案,对光学系统的各光学参数进行合理选取。设计结果表明,整个系统在120lp/mm的空间频率处轴上及轴外的调制传递函数MTF均大于0.4。     

Nanoaggregate Probe for Breast Cancer Metastasis through Multispectral Optoacoustic Tomography and Aggregation‐Induced NIR‐I/II Fluorescence Imaging

An activatable nanoprobe for imaging breast cancer metastases through near infrared‐I (NIR‐I)/NIR‐II fluorescence imaging and multispectral optoacoustic tomography (MSOT) imaging was designed. With a dihydroxanthene moiety serving as the electron donor, quinolinium as the electron acceptor and nitrobenzyloxydiphenylamino as the recognition element, the probe can specifically respond to nitroreductase and transform into an activated D‐π‐A structure with a NIR emission band extending beyond 900 nm. The activated nanoprobe exhibits NIR emission enhanced by aggregation‐induced emission (AIE) and produces strong optoacoustic signal. The nanoprobe was used to detect and image metastases from the orthotopic breast tumors to lymph nodes and then to lung in two breast cancer mouse models. Moreover, the nanoprobe can monitor the treatment efficacy during chemotherapeutic course through fluorescence and MSOT imaging.     

基于多光谱和sRGB空间的自然植物色的重现

多光谱成像技术在颜色科学方面的应用主要在于准确的记录和复制拍摄场景的颜色信息。针对目前基于光谱的颜色重现设备昂贵、复杂和实现起来困难的问题,提出了物体颜色从反射光谱空间向sRGB颜色空间变换的方案。在遵循sRGB标准的设备上重现了D65光源下的218种自然植物颜色,所显示的颜色与植物反射光谱实物对应的名称一致。对8个自然植物在9种不同光源下和在sRGB空间下的颜色进行了预测显示。所提出的方案对在网络环境下实现相同实物在不同照明环境下的场景显示提供了可行的途径。     

目标真温及光谱发射率智能识别法

基于神经网络技术，提出一种可以取消发射率假设模型的方法，实验结果表明，基于神经网络技术的二次辨识方法可以自动识别目标真温及光谱发射率，是一种同时获知目标真温及光谱发射率较实用的方法。     

三维多光谱数据压缩的新方法

提出了一种三维多光谱图像数据压缩的新方法，在对多光变图像数据进行了Ｋａｒｈｕｎｅｎ－Ｌｅｏｖｅ变换Ｋ－Ｌ变换后，再对变换后的多光谱图像数据进行静止图像方法压缩编码，消除谱和空间相关性。     

光谱重构油菜叶绿素含量快速检测方法及设备研制

为了实现油菜叶片中叶绿素含量的快速无损检测,开发了手持式多光谱成像系统用于采集油菜叶片在460,520,660,740,840和940 nm 六个波段的光谱图像。将一台能够采集可见光/近红外（380～1 023 nm）512个波段光谱图像但是价格高昂且体积大的室内高光谱成像系统作为参考仪器,将手持式多光谱成像系统作为目标仪器后,采用伪逆法（pseudo-inverse method）求得高光谱成像系统和多光谱成像系统两台仪器之间的转换矩阵F,从而实现6个波段的多光谱图像向512个波段的高光谱图像的重构,提高了手持式设备的光谱分辨率。运用偏最小二乘回归算法（PLSR）建立了重构的光谱与油菜叶片的叶绿素含量之间的关系模型。结果表明,重构的可见光范围内的光谱反射率与叶绿素浓度之间具有很强的相关性,PLSR回归模型建模集的决定系数R2_c为0.82,建模集均方根误差RMESC为1.98,预测集的决定系数R2_p为0.78,预测集均方根误差RMESP为1.50,RPD为2.14。虽然应用本文开发的手持式成像系统结合PLSR模型实现油菜叶绿素含量快速无损预测的精度低于基于室内高光谱成像系统获得的高光谱图像建立的PLSR模型（R2_c,RMESC,R2_p,RMESP和RPD分别为0.90,1.41,0.82,1.36和2.37）,但是明显优于基于原始多光谱成像系统4个波段（460,520,660和740 nm）反射率建立的PLSR模型得到的结果（R2_c,RMESC,R2_p,RMESP和RPD分别为0.78,2.06,0.72,1.85和1.88）。表明光谱重构技术可提高多光谱成像预测油菜叶绿素含量的精度,并且与室内高光谱成像系统相比,开发的手持式设备具有体积小、成本低廉和操作简便等优点,可为田间油菜叶片的生理状态和养分检测及可视化表达提供技术支持。     

先进焦平面与光谱成像技术现状

深入分析先进的焦平面技术和光谱成像技术的发展趋势,为探测器及光谱成像仪的研究提供参考。对光谱成像技术的现状和发展趋势、焦平面技术、先进焦平面技术对光谱成像系统技术的推动作用三个方面进行详细的分析总结,认为焦平面技术向着高性能、大规模面阵规格、高灵敏度、宽谱响应的方向发展;并推动光谱成像系统向着高分辨率、宽幅、多波段、更短重访周期和简化系统方向发展。成像光谱仪的发展趋势和需求指明焦平面技术的发展方向,同时焦平面技术的发展也会引领成像光谱仪系统进步和革新。