基于长波红外光谱的热态锻件温度场测量方法研究

提出一种长波红外光谱的温度场测量方法。将谱色测温原理与三级Fabry-Perot(FP)型Liquid Crystal Tunable Filter(LCTF)相结合,并对测温理论模型中三组非线性相关方程组所得的解进行了优化,以进一步减小误差,使测量值更加客观、真实;然后运用液晶双折射可调谐滤光原理,制作了三级FP型LCTF滤光系统,该系统在一定的长波红外光谱范围内实现了波长的任意调谐,从而保证测温系统的响应快速、准确。该方法测温前无需知晓被测物发射率,且能有效抑制背景光辐射和环境光源对测温精度带来的影响,保证了测温结果的准确性。最后通过matlab仿真软件验证了滤光系统所得红外光谱符合系统设计要求,并通过实验验证了该测温方法的可行性,测温准确性较之传统的单波段红外热像仪得到了提高。     

Visibly Transparent Multifunctional Metascreen for Tunable Infrared Coloration and Microwave Transmission

Metascreens are remarkable optical materials that have attracted significant research interest owing to their ability to manipulate electromagnetic waves by selectively transmitting, reflecting, and absorbing specific wavelengths. The present study introduces a new metascreen concept called visibly transparent multifunctional metascreen (VTMM), which is capable of simultaneously transmitting visible light, selectively transmitting microwaves, and modulating infrared (IR) emissions, all through a single surface. The VTMM is fabricated by patterning a thin metal film in a square-loop pattern on a transparent substrate, resulting in frequency-selective transmission characteristics in the X-band and visible transparency. Before demonstrating independent control of the visible and IR coloration of the VTMM by varying the metal film thickness and using color backgrounds, the visible and IR coloration characteristics of the ultrathin metal film on glass (MFG) are analyzed. Based on the findings, the VTMM preserves optical images behind the metascreen while reducing the average IR signature from 89.0 to 69.3 W m⁻² sr^-1, with up to 23.5% reduction compared to a glass substrate, as the metal film thickness increases from 40 to 100 nm is confirmed. Furthermore, the designed selective transmission characteristics are shown to remain consistent across varying metal film thicknesses.     

无人机载小型多光谱成像仪的设计

多光谱成像仪足一种有效的对地观测工具,航空机载多光谱成像仪在遥感领域得到广泛的应用。介绍一种新的小型多光谱成像仪的设计,以小型化、轻量化研究为特点,使其与小型无人飞机精密结合,成为一种灵活机动的海洋监测工具,将在海洋污染、赤潮发现、原油泄漏等重大事件临测上发挥作用。     

Application of Simple Multispectral Image Sensor and Artificial Intelligence for Predicting of Drought Tolerant Variety of Soybean

Environmental stress such as drought is a limiting factor of the soybean production in Indonesia. The varieties of drought- tolerant soybean become necessary to be cultivated especially in a marginal farmland. The characteristics of these varieties can be identified from the morphology of plants and the content of chlorophylls. Conventional techniques for predicting the variety of drought tolerant are usually labor extensive, time consuming and costly. A simple and rapid method that based on an automatic system to provide predictions on the variety of drought tolerant soybean is proposed in this paper. The method uses a simple multispectral sensor from a web camera that captures physical and physiological characteristics such as leaf areas, plant heights and is also able to calculate the content of chlorophylls. This research also compared fuzzy logic and artificial neural network as artificial intelligence methods to process raw data in order to predict the variety of the drought resistance soybean. The drought tolerant variety can be best predicted by artificial neural network method with an accuracy of about 80%.     

基于目标识别的红外与微光图像融合方法

 为了在融合图像中突出运动目标,提出了一种基于动态目标检测和识别的图像融合算法。先对红外图像序列中的运动目标进行检测和提取,同时对红外和微光图像进行融合,最后将提取到的红外目标与融合图像进行二次融合。试验结果表明,该算法获得的融合图像不仅具有普通融合算法信息丰富的特点,还具有鲜明的红外目标指示特性。     

The principle of primary spectrum pyrometry

1 Introduction Planck Law[1] is the fundamental of radiation temperature measurements, which in- dicates the quantitative relationship between the radiation intensity and the temperature of ideal blackbody.wherewhere C1 is Planck first constant, C2 Planck second constant, λ the wavelength, ε the spectral emissivity of an actual surface, I = ε (λ, T, θ, φ, β), Ib(λ, T) the radiation distri- bution of the real surface, λ1 the lower limit wavelength, λ2 the higher limit wavelength, d…     

Acousto-Optic Tunable Filter: A New Generation onochromator and more

ABSTRACT

The acousto-optic tunable filter is a compact, all solid state electronic monochromator. It is based on the acousto-optic interaction in an anisotropic crystal. Compared to conventional grating monochromtors, the AOTF has no moving parts, wider spectral tuning range (from UV though visible and near-IR to IR), higher throughput, higher resolution (few angstroms), faster scanning speed (μs) and imaging capability. These features make it possible to use the filter to develop novel instruments which are not possible otherwise. The instrumentation development and unique advantages of such AOTF based instruments including a multidimensional fluorimeter, detectors for HPLC and flow injection analysis, and a multispectral imaging instrument are described.     

In-flight particle diagnostics in induction plasma processing

A laser Doppler anemometer combined with a particle-emission spectrometer, are used for the study of the induction plasma spraying process. For this, the effects of chamber pressure, spray distance and torch nozzle design on the particle surface temperature and velocity as well as the fraction of hot particles included in the stream of processed material, were investigated. A comparison between the velocity measurements by laser Doppler anemometry (LDA) and by the particle time-of-flight technique is presented in order to emphasize the deference between the velocity of the hot particles, and that of the total particle population, cold and hot. The influence of the individual particle mass on particle entrainment in the plasma jet from the ambient atmosphere in the vacuum chamber is discussed.     

多光谱光声层析成像及其在生物医学中的应用

多光谱光声层析成像(MSOT)技术是一种将多光谱成像与光声层析成像(PACT)技术相结合的新技术,该技术利用不同生物组织的光谱吸收特性,用多组不同波长的短脉冲激光照射组织以产生组织特异性的光声信号,从而更好地进行光声成像和组分识别。MSOT兼具光学成像的高灵敏度、高分辨率优势和超声成像可对数厘米深组织成像的长处,同时又能弥补光学成像深度有限和超声成像对比度差的短处,能够实现深层组织的高分辨率、高对比度、高穿透深度的实时无损伤成像。迄今为止,MSOT已应用于肿瘤内光吸收粒子的检测、血管结构和血液氧合作用的评价、生物荧光蛋白的成像以及乳腺癌患者检测的初步研究。随着光声成像系统的不断改进,MSOT与生物标记物(如荧光试剂、金纳米颗粒等)结合对体内分子进行成像,在生物医学中得到了广泛的应用。本文简要综述了MOST的成像原理、实验装置及其性能特点,着重总结了其在生物医学领域的最新应用进展,尤其是在新生血管成像、肿瘤的早期诊断及肿瘤的原位成像方面。     

Fast acquisition of reflectance spectra using wide spectral lines

We analyze a recently proposed technique for fast acquisition of the two-dimensional (2D) spatial distribution of reflectance spectra to figure out how much its ability of distinguishing almost similar spectra declines with increase of the spectral line bandwidth of the light source. This analysis was carried out using the experimentally measured reflectance spectra of four metameric samples and simulating the system response to an illumination by spectral lines with variable bandwidth. It was shown that the metameric samples are distinguishable even when the bandwidth of illuminating lines is 20–30 nm. A wider bandwidth allows implementation of simultaneous illumination of an object that leads to a diminution of the acquisition time of 2D-multispectral images due to both faster operation in the parallel mode of Light-emitting diodes (LEDs) switching and higher output power.