中波红外多光谱成像技术研究

多光谱成像技术结合成像和光谱测量技术,同时探测目标的光谱和几何特征,在目标识别和抑制背景杂波方面具有技术优势。研制了一套工作于中波红外波段的四通道多光谱成像系统。利用窄带滤光片和面阵探测器技术,构建了基于时序扫描的凝视成像型红外多光谱成像系统。根据红外探测器性能参数,对各个光谱通道的温度灵敏度进行了估算。在系统设计时通过合理地滤光片布局,尽量延长各个光谱通道的信号积分时间,以提高各个光谱通道温度灵敏度。利用研制的中波多光谱成像系统,对室外进行了成像,并对各个通道的成像结果进行了比较分析。     

Imaging multispectral polarimetric sensor: single-pixel design,fabrication, and characterization

A discrete-component approach was taken to establish the operational feasibility of a novel, imaging, midinfrared, multispectral, polarimetric sensor for remote-sensing application. The sensor is designed to exploit the spectral and polarimetric characteristics of the scene as discriminants. Pixelated multispectral filters and polarization filters were designed and fabricated on sapphire and Si substrates, respectively, and both were characterized. A single-pixel spectropolarimetric composite filter was characterized by use of a Fourier transform infrared spectrometer and a Pt-Si thermal-imaging camera. The experimental results show excellent agreement with theoretical predictions.     

Multidimensional optical sensor and imaging system

We describe a multidimensional optical sensor and imaging system (MOSIS). Using a time-multiplexing, polarimetric, and multispectral imaging system, we are able to reconstruct a fully integrated multidimensional scene. Image fusion is used to integrate the multidimensional images. The fused image contains more information than the single two-dimensional and three-dimensional (3D) images. The multidimensional imaging system utilizes polarimetric imaging, multispectral imaging, 3D integral imaging with time and space multiplexing, and 3D image-fusion techniques to reconstruct the multidimensionally integrated scene. Optical experiments and computer simulations are presented.     

高速窄带多光谱成像系统光谱重建技术研究

光谱成像技术可以同时从光谱维和空间维上获取被测目标的信息，即结合了空间成像系统和光谱检测系统的功能，因此近年在影像获取与处理领域中倍受重视。本论文基于窄带多光谱成像技术建立八通道CCD多光谱成像系统，它能够实时采集八个通道的图像，获得波长分布从可见到红外（420-940nm）八个波段的光谱响应值。在此基础上对图像进行位置配准、反射率定标、采用插值算法获得其它波段光谱响应值，最终能够获取图像中任意一点的光谱反射率及颜色参数。实验结果表明，本文使用的三次样条插值法对原始光谱图像进行平滑操作的方法是有效的，能够以一定精度模拟出目标物点的真实光谱特性。该系统在动态目标检测识别、艺术品评价复制等领域有着广阔的应用前景。     

Wide-field fluorescence lifetime imaging with optical sectioning and spectral resolution applied to biological samples

Abstract. Wide-field fluorescence lifetime imaging with spectral resolution and optical sectioning has been performed to achieve five-dimensional fluorescence microscopy. Spectral filtering has been shown to have the potential to provide functional information about biological tissue by simultaneously measuring the spectral/lifetime signature of the sample. The potential to use multispectral imaging to separate cellular components spatially by their different emission wavelengths has also been demonstrated thus reducing artefacts in the calculated lifetime maps. The instrument is based on diode-pumped solid-state laser technology and an ultrafast gated optical image intensifier. Also reported is the use of a picosecond blue laser diode as the excitation source to produce a fluorescence lifetime microscope with a footprint of less than 0.25m².     

多光谱光声层析技术在肿瘤学中的应用进展

多光谱光声层析技术是一种新兴的光声成像技术,兼具光声断层扫描和多光谱成像的优点。该成像技术需要利用内源性和外源性光声成像对比剂进行成像。成像时,激光发射器发射多个波长的激光束照射组织,组织发生热弹性膨胀并产生超声波,将超声换能器接收的光声信号进行后处理,分解光谱信息并重建图像。目前,多光谱光声层析技术已广泛用于多种肿瘤的研究。文章着重介绍光声成像对比剂和多光谱光声层析技术的发展近况以及在临床转化中取得的研究进展。     

面向高保真再现的多光谱图像降维方法

目的研究满足面向高保真再现要求的多光谱图像降维方法。方法基于二进制小波对信号的分解与人类的视觉特性相匹配,以及非负主成分分析法可较好地保证降维的光谱精度,提出采用基于离散二进制小波变化与非负主成分分析法的综合降维方法,并基于多光谱图像高保真再现的光谱精度、色度精度与变光源色差稳定性的要求,提出采用CIELAB的标准色差ab?E、光谱保真度和平均梯度等3个指标来评价降维效果。结果经过多光谱图像的测试实验,基于离散小波变换和非负主成分分析法的综合降维方法相对于其他3种方法,其光谱精度、色度精度和图像清晰度保持良好。结论该方法较好地实现了多光谱图像的高保真再现问题,并且为颜色视觉的认知过程提供了新的理论解释。     

Imaging system of wavelet optics described by the Gaussian linear frequency-modulated complex wavelet

The image formation and the point-spread function of an optical system are analyzed by use of the wavelet basis function. The image described by a wavelet is no longer an indivisible whole image. It is, rather, a complex image consisting of many wavelet subimages, which come from the changes of different parameters (scale) a and c, and parameters b and d show the positions of wavelet subimages under different scales. A Gaussian frequency-modulated complex-valued wavelet function is introduced to express the point-spread function of an optical system and used to describe the image formation. The analysis, in allusion to the situation of illumination with a monochromatic plain light wave, shows that using the theory of wavelet optics to describe the image formation of an optical system is feasible.     

Multispectral polarization imaging for observing blood oxygen saturation in skin tissue

We propose a new technique that combines two-dimensional (2D) multispectral imaging and polarization gating for observing the blood oxygen saturation (SpO2) level in human skin tissue. The spectral decomposition of the skin tissue image provides the principal information on blood oxygenation. The polarization gating selects the measurement depth according to the relative orientation of the two polarizers that are placed on a camera and a light source. The combination of these two methods yields multispectral images of the superficial and deep layers of the skin tissue separately. In order to evaluate the blood oxygen, we focus on the multispectral images of the deep site. The SpO2 levels at each image pixel are calculated by means of the partial least squares regression with respect to each reflectance spectrum. The reassignment of the predicted responses retrieves an image whose pixel values represent the relative SpO2 levels. A demonstration experiment for acquiring the multispectral polarization images is performed in the spectral range of 500 to 680 nm, and the SpO2 distributions are obtained.     

Fluorescence spectral imaging for characterization of tissue based on multivariate statistical analysis

A novel spectral imaging method for the classification of light-induced autofluorescence spectra based on principal component analysis (PCA), a multivariate statistical analysis technique commonly used for studying the statistical characteristics of spectral data, is proposed and investigated. A set of optical spectral filters related to the diagnostically relevant principal components is proposed to process autofluorescence signals optically and generate principal component score images of the examined tissue simultaneously. A diagnostic image is then formed on the basis of an algorithm that relates the principal component scores to tissue pathology. With autofluorescence spectral data collected from nasopharyngeal tissue in vivo, a set of principal component filters was designed to process the autofluorescence signal, and the PCA-based diagnostic algorithms were developed to classify the spectral signal. Simulation results demonstrate that the proposed spectral imaging system can differentiate carcinoma lesions from normal tissue with a sensitivity of 95% and specificity of 93%. The optimal design of principal filters and the optimal selection of PCA-based algorithms were investigated to improve the diagnostic accuracy. The robustness of the spectral imaging method against noise in the autofluorescence signal was studied as well.     

Maximum a posteriori estimation of spectral reflectance from color image and multipoint spectral measurements

Accurate color image reproduction under arbitrary illumination can be realized if the spectral reflectance functions in a scene are obtained. Although multispectral imaging is one of the promising methods to obtain the reflectance of a scene, it is expected to reduce the number of color channels without significant loss of accuracy. This paper presents what we believe to be a new method for estimating spectral reflectance functions from color image and multipoint spectral measurements based on maximum a posteriori (MAP) estimation. Multipoint spectral measurements are utilized as auxiliary information to improve the accuracy of spectral reflectance estimated from image data. Through simulations, it is confirmed that the proposed method improves the estimation accuracy, particularly when a scene includes subjects that belong to various categories.     

高光谱数据融合研究

多传感器的遥感数据融合在城市规划、土地利用、矿产探测、军事侦察等领域有着非常广泛的应用前景。本文高光谱图像光谱分辨率高、空间分辨率低、多光谱图像空间分辨率高、光谱分辨率高的特点,阐述了其数据融合。特别介绍了CRISP锐化算法。     

Imaging interferometric microscopy

Imaging interferometric microscopy (IIM) is a synthetic aperture imaging approach providing resolution to the transmission medium (refractive index n) linear systems limit extending to greater, similarlambda/4n using only low-numerical-aperture (low-NA) optics. IIM uses off-axis illumination to access high spatial frequencies along with interferometric reintroduction of a zero-order reference beam on the low-NA side of the optical system. For a thin object normal to the optical axis, the frequency space limit is [(1+NA)n/lambda], while tilting the object plane allows collection of diffraction information up to the material transmission bandpass-limited spatial frequency of 2n/lambda. Tilting transforms the spatial frequencies; the algorithm to reset to the correct image frequencies is described. IIM involves combining multiple subimages; the image reconstruction procedures are discussed. A mean-square-error metric is introduced. For binary objects, sigmoidal filtering of the image provides significant resolution improvement.     

Adjustable active optical low-pass filter

This paper presents an active optical low-pass filter (AOLPF) capable of changing the resolution of an imaging system on demand in order to remove aliasing noise from a sampling image. This is advantageous over conventional optical low-pass filters, which are fixed image-blurring optical components that are built into the imaging system, in order to remove aliasing in the image. Furthermore, conventional filters smear images regardless of the presence or lack of high spatial frequency, which can exceed the Nyquist limit of the sensor. On the contrary, the proposed AOLPF can dynamically adjust the modulation transfer function of an imaging system to eliminate aliasing artifacts. In addition, this filter can be turned off in the absence of high spatial frequency to maximize resolution and prevent unnecessary blurring of the sampling image.     

空间多光谱成像的旋转滤光轮机构动力学试验研究

分时获取不同谱段的光谱信息是空间多光谱成像的前提。为了满足卫星相机多光谱成像中的光谱细分要求,设计了一种高精度、高稳定性分光器装置,通过周边安装的步进电机驱动大尺寸角接触球轴承实现滤光片频繁的切入切出运动。采用数值模型与模态试验方法验证机构的动力学特性,根据正弦扫频及随机振动试验分析滤光轮机构在卫星发射阶段的有效性,一种地面微振动试验用以描述滤光轮机构的在轨稳定性。数值分析与试验结果表明,旋转滤光轮机构满足发射安全性与在轨稳定性需求。这类周边驱动大尺寸薄壁轴承的新型旋转滤光轮为大口径卫星相机的空间应用提供了一种新途径。     

Analysis and application of multiframe superresolution processing for conventional imaging systems and lenslet arrays

Low-cost compact sensors for ultrasmall systems are a pressing need in many new applications. One potential solution is a shallow aspect ratio system using a lenslet array to form multiple undersampled subimages of a scene on a single focal plane array, where processing techniques then produce an upsampled restored image. We have investigated the optimization and theoretical limits of the performance of such arrays. We have built a hardware simulator and developed algorithms to process imagery similar to that of a full lenslet imaging sensor, which allowed us to quickly test optical components, algorithms, and complete system designs for future lenslet imaging systems.     

Patterning of multilayer dielectric optical coatings for multispectral CCDs

The development of optical sensors for spacecraft applications requires that all components be as lightweight as possible. One method to reduce the weight of a multispectral optical system is to eliminate beamsplitting optics and multiple detectors by patterning a filter array directly onto a CCD. However, techniques commonly used in the production of these filter arrays result in decreased image resolutions. This can greatly impact the performance of sensors used for applications such as planetary probes. To address this issue, we have studied the patterning of multilayer dielectric optical coatings in a small scale, two dimensional array, which will allow development of a four color sensor with a resolution one-half that of monochromatic sensors (compared to one-fourth or less for a four color striped array). We have developed ion milling techniques for the preparation of optical filter arrays which are patterned on a scale as small as 7.5 μm, enabling each pixel of a CCD to have its own associated filter. This paper presents details of the fabrication of these multispectral arrays, and discusses problems associated with pixel-sized filters.     

Simulated radiance profiles for automating the interpretation of airborne passive multi-spectral infrared images

Methodology is developed for simulating the radiance profiles acquired from airborne passive multispectral infrared imaging measurements of ground sources of volatile organic compounds (VOCs). The simulation model allows the superposition of pure-component laboratory spectra of VOCs onto spectral backgrounds that simulate those acquired during field measurements conducted with a downward-looking infrared line scanner mounted on an aircraft flying at an altitude of 2000-3000 ft (approximately 600-900 m). Wavelength selectivity in the line scanner is accomplished through the use of a multichannel Hg:Cd:Te detector with up to 16 integrated optical filters. These filters allow the detection of absorption and emission signatures of VOCs superimposed on the upwelling infrared background radiance within the instrumental field of view (FOV). By combining simulated radiance profiles containing analyte signatures with field-collected background signatures, supervised pattern recognition methods can be employed to train automated classifiers for use in detecting the signatures of VOCs during field measurements. The targeted application for this methodology is the use of the imaging system to detect releases of VOCs during emergency response scenarios. In the work described here, the simulation model is combined with piecewise linear discriminant analysis to build automated classifiers for detecting ethanol and methanol. Field data collected during controlled releases of ethanol, as well as during a methanol release from an industrial facility, are used to evaluate the methodology.     

Multifusion, Multispectral, Optical Polarimetric Imaging Sensing Principles

The goal of this study is to present novel, multifusion optical imaging sensing principles, based on active-multispectral polarimetric imaging of targets surrounded by scattered media. Specifically, the novelty of this study consists in the fusion of multispectral images, with polarimetric imaging principles, forming image differences. The experimental results indicate clearly that, high-contrast multispectral Mueller polarimetric image differences, as well as Degree of Linear Polarization (DOLP) images can be obtained from transmitted or backscattered photons, from targets embedded in turbid media.     

Developing an optimum computer-designed multispectral system comprising a monochrome CCD camera and a liquid-crystal tunable filter

In a previous work [J. Opt. Soc. Am. A24, 942 (2007)JOAOD60740-323210.1364/JOSAA.24.000942] we made a complete theoretical and computational study of the influence of several parameters on the behavior of a planned multispectral system for imaging skylight, including the number of sensors and the spectral estimation algorithm. Here we follow up this study by using all the information obtained in the computational simulations to implement a real multispectral imaging system based on a monochrome CCD camera and a liquid-crystal tunable filter (LCTF). We were able to construct the optimum Gaussian sensors found in the simulations by adjusting the exposure times of some of the transmittance modes of the LCTF, hence obtaining really accurate spectral estimations of skylight with only a few optimum sensors.