Identifying camellia oil adulteration with selected vegetable oils by characteristic near-infrared spectral regions

In this paper,a methodology based on characteristic spectral bands of near infrared spectroscopy(1000-2500 nm)and multivariate analysis was proposed to identify camellia oil adulteration withvegetable oils,Sunflower,peanut and corn oils were selected to conduct the test.Pure camlia oiland that adulterated with varying concentrations(1-10%with the gradient of 1%,10-40%withthe gradient of 5%,40-100%with the gradient of 10%)of each type of the three vegetable oilswere prepared,respectively.For each type of adulterated oil,full-spectrum partial least squarespartial least squares(PLS)models and synergy interval partial least squares(SI-PLS)modelswere developed.Parameters of these models were optimized simultaneously by cross-validation,The SI-PLS models were proved to be better than the full-spectrum PLS models.In SI-PLSmodels,the correlation coefficients of predition set(Rp)were 0.9992,0.9998 and 0.9999 foradulteration with sunflower oil,peanut oiloil seperately;the corresponding root meansquare errors of prediction set(RMSEP).66nd 0.37.Furthermore,a new genericPLS model was built based on the chalselected from the intervals of thethree SI-PLS models to identify the oil adulterantsardless of the adultrated oil types.Themodel achieved with Rp=0.9988 and RMSEP==1.52,These results indicated that the charac-teristic near infrared spectral regions could determine the level of adulteration in the camllia oil.

Island instantaneous coastline extraction based on the characteristics of regional statistics of multispectral remote sensing image

This study adopted IKONOS remote sensing images and selected spectral characteristic areas, through regional pixel statistics and calculating weight coefficients of each band, processed the images with the spectral normalized method, which made the features of islands, land and water features more obviously in the images. On this basis, the OTUS was used to determine the optimal segmentation threshold, and the normalization image binarization was made, thus the island coastline was extracted. This method used the characteristic curve method to separate the land and water, obtained the binarization images and maintained the original edge effectively. The coastline that was extracted by Binary Morphology was continuous, reliable and high signal-to-noise ratio. The results showed that this method could extract the coastline fast, simply and effectively, which had the practical value.

Impact of Spectral Nudging on the Downscaling of Tropical Cyclones in Regional Climate Simulations

This study investigated the simulations of three months of seasonal tropical cyclone （TC） activity over the western North Pacific using the Advanced Research WRF Model. In the control experiment （CTL）, the TC frequency was considerably overestimated. Additionally, the tracks of some TCs tended to have larger radii of curvature and were shifted eastward. The large-scale environments of westerly monsoon flows and subtropical Pacific highs were unreasonably simulated. The overestimated frequency of TC formation was attributed to a strengthened westerly wind field in the southern quadrants of the TC center. In comparison with the experiment with the spectral nudging method, the strengthened wind speed was mainly modulated by large-scale flow that was greater than approximately 1000 km in the model domain. The spurious formation and undesirable tracks of TCs in the CTL were considerably improved by reproducing realistic large-scale atmospheric monsoon circulation with substantial adjustment between large-scale flow in the model domain and large-scale boundary forcing modified by the spectral nudging method. The realistic monsoon circulation took a vital role in simulating realistic TCs. It revealed that, in the downscaling from large-scale fields for regional climate simulations, scale interaction between model-generated regional features and forced large-scale fields should be considered, and spectral nudging is a desirable method in the downscaling method.

A Regional Spectral Nested Shallow Water Equation Model

A method to expand meteorological elements in terms of finite double Fourier series in a limited-region and a spectral nested shallow water equation model based upon the method with conformal map projection in rectangular coordinates, have been proposed, and computational stability and efficiency of time integration have been discussed.

A Regional Spectral Nested Multilevel Primitive Equation Model

By means of vertical normal modes a regional nested multilevel primitive equation model can be reduced to several sets of shallow water equations characterized by various equivalent depths. Therefore, time integration of the model in spectral form can be performed in the manner similar to those used in the spectral nested shallow water equation model case.

Comment on “The diurnal variation pattern of choroidal thickness in macular region of young healthy female individuals using spectral domain optical coherence tomography”

Dear Editor,We have read and reviewed the article entitled＂The diurnal variation pattern of choroidal thickness in macular region of young healthy female individuals using spectral domain optical coherence tomography＂by Zhao et al^（[1]）with great interest.

山西垂直摆倾斜仪背景噪声分析

利用山西地区垂直摆倾斜仪正常时段的观测数据,计算功率谱密度PSD和噪声水平SNM,对观测的正常背景特征进行分析和讨论。结果表明,未受任何干扰的观测数据每日PSD变化不大,分钟采样观测数据能反映最大为8.3 mHz的PSD分布,秒采样观测数据能反映最大为0.5 Hz的PSD分布。临汾地震台同址VS型、VP型垂直摆观测数据的噪声水平具有一致性;有2套仪器的背景噪声水平偏高,有4套仪器的背景噪声水平较低;低噪声水平仪器观测曲线光滑、固体潮清晰,运行稳定;高噪声水平仪器观测曲线毛刺多、不光滑。该现象除受观测环境影响以外,主要还受仪器自身的影响。

结合区域引导和双注意力机制的高光谱目标检测判别式学习网络

高光谱图像(HyperSpectral Images,HSIs)具有高光谱分辨率和丰富的光谱信息,其具有的大量窄波段电磁波有利于获取感兴趣目标的理化信息,并根据对应的光谱特征对不同物质进行有效区分,从而完成目标检测任务.然而有限样本、少量先验信息、高维相似背景及不同类别差异小所导致的目标和背景混淆问题使得高光谱目标检测(Hyperspectral Target Detection,HTD)面临挑战.为此,本文提出结合区域引导和双注意力机制的高光谱目标检测判别式学习网络(Region-guided and dual-Attention Discriminative learning Network,RADN),以缓解标记样本少的条件下不同类别相似度高和相同类别差异性大导致的背景和目标不易区分的问题,减少高维冗余特征带来的计算复杂度,同时提升检测精度.本文使用经验性区域引导网络训练,采用光谱约束的无监督聚类方法确定网络输入,选择性地关注高光谱图像中的显著性特征和感兴趣区域.此外,本文在网络中添加双通道注意力机制来辅助复杂背景分布的估计,并在网络中引入不同类别光谱先验损失函数,进一步减少高维复杂背景以及光谱变化对于目标的干扰.实验结果和分析表明,RADN在不同数据集上的性能优于现有先进的算法.

从气候学角度理解“21.7”河南特大暴雨的形成机理

2021年7月19—22日,河南省遭遇历史罕见特大暴雨,破纪录降水引发了严重的洪涝灾害。目前,“21.7”河南特大暴雨的研究大多针对降水个例,引发极端降水的气候学机制仍不明确。本文基于谱聚类方法,利用中国气象局多年历史站点降水资料和NCEP/NCAR再分析数据研究了1960—2021年华北地区夏季区域性极端降水事件的主控环流天气型,系统揭示了“21.7”河南特大暴雨的发生过程。结果表明,“21.7”河南特大暴雨发生在罕见天气型下,即西太平洋上空增强的远距离台风配合异常偏西北的西太平洋副热带高压与异常偏东北的南亚高压。该天气型虽然仅贡献了华北地区夏季区域性极端降水事件的5.97%,却易导致更强的极端降水事件。台风和副高之间的盛行东南风将水汽从西太平洋输送到河南,对流层高低层强烈的风切变引发的垂直上升运动导致了“21.7”河南暴雨的发生。河南及周边地区对流层低层更加强烈的上升运动与非绝热加热之间的正反馈效应使得“21.7”河南暴雨相对同一天气型下的其他特大暴雨事件的极端性更强。本研究为理解和准确预测类似“21.7”河南暴雨的破纪录区域性极端降水提供了全新的气候学视角。

同质区共享端元变异性的高光谱混合像元分解

由于不同的照明条件、复杂的大气环境等因素,相同端元的光谱特征在图像的不同位置呈现出可见的差异,这种现象被称为端元的光谱变异性。在相当大的场景中,端元的变异性可能很大,但在适度的局部同质区内,变异性往往很小。扰动线性混合模型(Perturbed Linear Mixing Model,PLMM)在解混的过程中可以减轻端元变异性造成的不利影响,但是对缩放效应造成的变异性的处理能力较弱。为此,本文改进了扰动线性混合模型,引入了尺度因子以处理缩放效应造成的变异性,并结合超像素分割算法划分局部同质区,然后设计出基于局部同质区共享端元变异性的解混算法(Shared Endmember Variability in Unmixing,SEVU)。与扰动线性混合模型,扩展线性混合模型(Extended Linear Mixing Model,ELMM)等算法相比,所提SEVU算法在合成数据集上平均端元光谱角距离(mean Spectral Angle Distance,mSAD)和丰度均方根误差(abundance Root Mean Square Error,aRMSE)最优,分别为0.0855和0.0562;在Jasper Ridge和Cuprite真实数据集上mSAD是最优的,分别为0.0603和0.1003。在合成数据集和两个实测数据集上的实验结果验证了SEVU算法的有效性。

双源CT能谱成像多参数在宫颈癌区域淋巴结定性诊断中的价值研究

目的 分析双源CT能谱成像多参数对宫颈癌区域淋巴结的定性诊断价值。方法 选择2021年5月至2022年5月新疆维吾尔自治区人民医院收治的102例经病理活检诊断为宫颈癌且存在区域淋巴结肿大患者,年龄27~68岁,平均年龄51.23岁;身体质量指数21~29 kg/m^(2),平均身体质量指数22.86 kg/m^(2);根据国际妇产科联盟(FIGO)分期标准,Ⅰ期15例,Ⅱ期39例,Ⅲ期42例,Ⅳ期6例;组织病理学类型,鳞癌86例,腺癌12例,腺鳞癌3例,透明细胞癌1例。所有患者均进行双源CT能谱成像检查,行动脉期及静脉期增强扫描,检测标准化碘浓度(NIC)和能谱曲线斜率(λHU);根据术后淋巴结的病理结果,分为淋巴结转移组和淋巴结未转移组,比较两组动脉期及静脉期的NIC、λHU,使用受试者工作特性(ROC)曲线分析其诊断效能。结果 在102例经病理活检诊断为宫颈癌且存在区域淋巴结肿大患者中,CT检出淋巴结共531个。根据术后淋巴结的病理诊断,分为淋巴结转移组345个和淋巴结未转移组186个。淋巴结转移组动脉期及静脉期的NIC、λHU均大于淋巴结未转移组,差异均有统计学意义(动脉期:0.41±0.19 vs 0.20±0.12,6.78±1.43 vs 2.41±0.55。静脉期:0.68±0.56 vs 0.39±0.27,5.85±1.37 vs 3.72±0.61。P <0.05);经ROC曲线分析,动脉期NIC、λHU及静脉期NIC、λHU定性诊断宫颈癌区域淋巴结的ROC曲线下面积(AUC)分别为0.925、0.905和0.935、0.930,最佳截断值分别为0.44、7.53和0.76、5.95,灵敏度分别为76.65%、68.91%和72.53%、75.76%,特异度分别为81.92%、93.47%和74.58%、82.43%。结论 运用双源CT能谱成像多参数进行定量分析,在宫颈癌区域淋巴结定性诊断中具有较大意义,可作为术前判断区域淋巴结转移的重要依据之一。

内蒙古VP型垂直摆倾斜仪背景噪声特征分析

选取内蒙古地区5套VP型垂直摆倾斜仪2020-03~2021-02秒采样连续观测数据,计算加速度功率谱密度(PSD),对比分析不同台站、不同频率下VP型垂直摆背景噪声的时空变化特征。结果表明,VP型垂直摆背景噪声水平基本符合全球地震背景噪声模型频率特性;次微震频段背景噪声水平秋冬强、夏季最弱,季节性变化显著,未呈现出明显的空间分布特征;主微震频段背景噪声水平秋冬略大于春夏,春夏噪声水平相当,存在一定的季节性变化,不同台站背景噪声水平差异明显;在长周期频段,通常情况下四季噪声水平相近,无明显的季节性变化规律。若仪器受自然环境干扰,背景噪声水平也呈现秋冬高于春夏的季节性变化特征。此外,良好的洞体条件可有效降低长周期频段的背景噪声水平。

基于残余谱方法的农村居民地遥感提取研究

视觉注意模型通过模拟人类的视觉注意机制而得到图像中最容易引起注意的显著区域.残余谱(spectral residuals,SR)方法是视觉注意模型中的一种,通过分析自然图片在频率域中的log谱来检测图片的显著性目标.将残余谱方法引入到遥感影像中用于获取农村居民地信息,通过比较高分1号、资源3号和WorldView 2这3个不同传感器的卫星影像,试分析遥感影像中不同的波谱和影像不同的获取时间对居民地提取结果的影响.结果表明:卫星影像中RGB组合提取的居民地效果更好,近红外波段在残余谱方法提取居民地时具有消极影响;8月获取的卫星影像用于居民地的提取相比于4月效果更好;残余谱方法用于农村居民地的提取对传感器的选择无明显倾向性.

Derivation of salt content in salinized soil from hyperspectral reflectance data: A case study at Minqin Oasis, Northwest China

Soil salinization is a serious ecological and environmental problem because it adversely affects sustainable development worldwide, especially in arid and semi-arid regions. It is crucial and urgent that advanced technologies are used to efficiently and accurately assess the status of salinization processes. Case studies to determine the relations between particular types of salinization and their spectral reflectances are essential because of the distinctive characteristics of the reflectance spectra of particular salts. During April 2015 we collected surface soil samples(0–10 cm depth) at 64 field sites in the downstream area of Minqin Oasis in Northwest China, an area that is undergoing serious salinization. We developed a linear model for determination of salt content in soil from hyperspectral data as follows. First, we undertook chemical analysis of the soil samples to determine their soluble salt contents. We then measured the reflectance spectra of the soil samples, which we post-processed using a continuum-removed reflectance algorithm to enhance the absorption features and better discriminate subtle differences in spectral features. We applied a normalized difference salinity index to the continuum-removed hyperspectral data to obtain all possible waveband pairs. Correlation of the indices obtained for all of the waveband pairs with the wavebands corresponding to measured soil salinities showed that two wavebands centred at wavelengths of 1358 and 2382 nm had the highest sensitivity to salinity. We then applied the linear regression modelling to the data from half of the soil samples to develop a soil salinity index for the relationships between wavebands and laboratory measured soluble salt content. We used the hyperspectral data from the remaining samples to validate the model. The salt content in soil from Minqin Oasis were well produced by the model. Our results indicate that wavelengths at 1358 and 2382 nm are the optimal wavebands for monitoring the concentrations of chlorine and sulphate compounds, the predominant salts at Minqin Oasis. Our modelling provides a reference for future case studies on the use of hyperspectral data for predictive quantitative estimation of salt content in soils in arid regions. Further research is warranted on the application of this method to remotely sensed hyperspectral data to investigate its potential use for large-scale mapping of the extent and severity of soil salinity.

Study on Multi-Scale Blending Initial Condition Perturbations for a Regional Ensemble Prediction System

An initial conditions （ICs） perturbation method was developed with the aim to improve an operational regional ensemble prediction system （REPS）. Three issues were identified and investigated： （1） the impacts of perturbation scale on the ensemble spread and forecast skill of the REPS; （2） the scale characteristic of the IC perturbations of the REPS; and （3） whether the REPS＇s skill could be improved by adding large-scale information to the IC perturbations. Numerical experiments were conducted to reveal the impact of perturbation scale on the ensemble spread and forecast skill. The scales of IC perturbations from the REPS and an operational global ensemble prediction system （GEPS） were analyzed. A ＂multi-scale blending＂ （MSB） IC perturbation scheme was developed, and the main findings can be summarized as follows： The growth rates of the ensemble spread of the REPS are sensitive to the scale of the IC perturbations; the ensemble forecast skills can benefit from large-scale perturbations; the global ensemble IC perturbations exhibit more power at larger scales, while the regional ensemble IC perturbations contain more power at smaller scales; the MSB method can generate IC perturbations by combining the small-scale component from the REPS and the large-scale component from the GEPS; the energy norm growth of the MSB-generated perturbations can be appropriate at all forecast lead times; and the MSB-based REPS shows higher skill than the original system, as determined by ensemble forecast verification.

Distribution of Lg coda Q in Xinjiang and its adjacent regions

In this study, we collected 1156 broadband vertical components records at 22 digital seismic stations in Xinjiang region, Urumqi station, and 7 stations in the adjacent regions during the period of 1999-2003. The records were firstly processed by the stacked spectral ratio method to obtain Q0 (Q at 1 Hz) and the frequency correlation factor η corresponding to each path. Based on the results, the distribution images of Q0 and η in 1°×1° grids for Xinjiang region were gained by the back-projection technique. The results indicate that Q0 is high (300-450) in the Tarim platform and marginal Siberian platform, while Q0 is low (150-250) in the southern regions as west Kunlun fold system and Songpan-Ganzi fold system. In the northern regions as Junggar fold system and Tianshan fold system, Q0 is also low (250-300) and η varies between 0.5 and 0.9.

Spectral Feature Analysis of Semiconductor Thin Disk Laser

The semiconductor thin disk laser is a new type of semiconductor laser. This work gives the basic operation function of the semiconductor disk laser, and analyses the heat effect by the experimentally measured photoluminescence spectrum of the laser chip at different pump power and different temperatures. We can see that: with increasing pump power, the thermal effect of the gain material becomes seriously and causes the saturation of carrier lifetime, so the electron-hole pair created in the absorbtion layer has no enough time to rate to one of the wells, and the non-radiative recombination happens in the barrier. When the thermal effect becomes stronger, the chip will be not lasing. This phenomenon is from the smaller energy offset between barrier and quantum well. We optimize the original structure design and experimental technology. A non-absorbing AlGaAs layer which is transparent to the pumping and laser wavelength is added to confine the carriers in the quantum wells. At the same time a DBR with double reflecting band is induced to improve the absorbing efficiency of the pumping light. The single QW is replaced by the three narrow QWs. This three QWs structure can add the quantum state of QW, increase the recombination probability of carriers in the QWs and reduce the heat effect. The chemical etching equipment is also improved to control the surface unevenness to be within 50 nm.

黄河源区玛曲县不同沙化程度高寒草地光谱特征分析

高寒草地是黄河上游主要的生态屏障,受自然和人为的双重影响,草地沙化现象严重且监测和治理困难。因此,分析不同沙化程度的高寒草地光谱特征可为该区遥感监测及沙化程度精细识别提供充分的地面验证信息。研究基于玛曲县野外实测不同沙化程度高寒草地的高光谱信息,利用多种光谱变化方法对其光谱特征进行分析,结果显示:除极重度沙化的光谱曲线表现出典型荒漠化土壤的特征外,其他沙化程度草地的红谷、绿峰及三边参数均与绿色植被光谱特征保持一致,其中720-1000 nm是区分不同程度沙化类型草地的最佳波段,而在510-560和650-690 nm波段范围内的红谷和绿峰区分度不理想。利用一阶微分和包络线去除的光谱转化方法,对草地光谱反射率曲线进行处理,发现较好的可用于不同程度沙化草地区分的特征波段和参数有510-560、650-700 nm、红边幅值以及包络线去除后600-700 nm处的吸收深度,经过波段运算后的比值植被指数、绿红植被指数指数在不同程度沙化草地区分作用明显,同时对植被指数进行阈值化处理,可作为识别不同沙化程度草地的提供判别依据,研究成果为高寒区沙化监测及沙化程度精细识别提供数据支撑和参考。

基于阴影和周边区域色差的光照条件和光谱反射率计算方法

光照条件和光谱反射率对增强现实和场景渲染任务非常有用,但是通过仪器采集比较困难,因此根据普通图像计算光照条件和光谱反射率是重要的计算机视觉任务.本文设计了一种通过分析场景中的阴影区域和周边区域颜色之间的色差,无需训练数据即可计算场景的光照条件和光谱反射率的算法.在自然场景中,阴影区域由于遮挡只能接收和反射天空光,而其周边的非阴影区域则同时受到太阳光和天空光的影响.当阴影和非阴影区域有着相同的光谱反射率时,两块区域颜色之间的色差反映了被遮挡光源的信息.两块区域之间的颜色差异由光照条件造成,又以光谱反射率为联系.因此,可以利用这两种颜色之间的关系计算光照条件和光谱反射率.本文使用先验知识和模型公式化表达某一区域在光照下呈现在图像中的颜色,然后基于两种颜色以及两者之间的色差设计了一种优化算法,通过计算最优解来计算场景的光照条件以及光谱反射率.通过在多个数据集上的一系列对比实验,以及一个使用光照条件和光谱反射率来去除阴影区域的应用实验,证明了该算法的准确性.

激光雷达云数据视场交迭异常监测系统

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