Spectroscopy最新文献_第3页

Inorganics I: Introduction 无机物 I：导论

IF 0.5 4区化学

Spectroscopy Pub Date : 2023-12-01 DOI: 10.56530/spectroscopy.rp3780c4

Brian C. Smith

引用次数: 0

Simple Spectrometer System, Simple Validation? 简单的光谱仪系统，简单的验证？

IF 0.5 4区化学

Spectroscopy Pub Date : 2023-12-01 DOI: 10.56530/spectroscopy.tc3777t8

R. D. McDowall

引用次数: 0

Frontiers of NIR Imaging 近红外成像前沿

IF 0.5 4区化学

Spectroscopy Pub Date : 2023-11-01 DOI: 10.56530/spectroscopy.xg9883t4

Yukihiro Ozaki, M. Ishigaki

引用次数: 0

Raman Scattering for Label-Free Chemical Imaging 用于无标记化学成像的拉曼散射

IF 0.5 4区化学

Spectroscopy Pub Date : 2023-11-01 DOI: 10.56530/spectroscopy.uj1082r1

Zachary D. Schultz

引用次数: 0

Identification and Classification of Degradation-Indicator Grass Species in a Desertified Steppe Based on HSI-UAV 基于 HSI-UAV 的荒漠化草原退化指示草种的识别与分类

IF 0.5 4区化学

Spectroscopy Pub Date : 2023-11-01 DOI: 10.56530/spectroscopy.dr5881c1

Xinchao Gao, Fei Hao, W. Pi, Xiangbing Zhu, Tao Zhang, Yuge Bi, Yanbin Zhang

{"title":"Identification and Classification of Degradation-Indicator Grass Species in a Desertified Steppe Based on HSI-UAV","authors":"Xinchao Gao, Fei Hao, W. Pi, Xiangbing Zhu, Tao Zhang, Yuge Bi, Yanbin Zhang","doi":"10.56530/spectroscopy.dr5881c1","DOIUrl":"https://doi.org/10.56530/spectroscopy.dr5881c1","url":null,"abstract":"The emergence and number of grassland degradation-indicator grass species are important in evaluating the extent of grassland degradation. Plant populations in desertified steppe are distributed randomly and at low density. Specifically, degradation-indicator grass species mainly exist as individuals, making spectrum-based identification difficult. Here, a low-altitude unmanned aerial vehicle (UAV) hyperspectral remote-sensing system was constructed to identify the typical degradation-indicator grass species of a desertified steppe in China. The ASI index (Artemisia frigida Willd. and Stipa breviflora Grisb. index) and classification rules were proposed and applied. We implemented a comprehensive application of amplified differences in spectral characteristics between vegetation communities and assigned plant senescence reflectance-index bands, using the characteristics of the plant populations under observation and UAV hyperspectral remote-sensing data, to solve the problems resulting from high similarity while identifying ground objects. Our results lay a solid foundation for monitoring and evaluating desertified steppe degradation-indicator grass species based on remote sensing.","PeriodicalId":21957,"journal":{"name":"Spectroscopy","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139305090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soil Organic Matter Estimation Modeling Using Fractal Feature of Soil for vis-NIR Hyperspectral Imaging 利用可见近红外高光谱成像的土壤分形特征建立土壤有机质估算模型

IF 0.5 4区化学

Spectroscopy Pub Date : 2023-11-01 DOI: 10.56530/spectroscopy.fz7077a2

Shaofang He, Qing Zhou, Fang Wang, Luming Shen, Jing Yang

{"title":"Soil Organic Matter Estimation Modeling Using Fractal Feature of Soil for vis-NIR Hyperspectral Imaging","authors":"Shaofang He, Qing Zhou, Fang Wang, Luming Shen, Jing Yang","doi":"10.56530/spectroscopy.fz7077a2","DOIUrl":"https://doi.org/10.56530/spectroscopy.fz7077a2","url":null,"abstract":"To produce a fast, accurate estimation for soil organic matter (SOM) by soil hyperspectral methods, we developed a novel intelligent inversion model based on multiscale fractal features combined with principal component analysis (PCA) of hyperspectral data. First, we calculated the local generalized Hurst exponent of the spectral reflectivity by multiscale multifractal detrended fluctuation analysis (MMA) while determining the sensitive spectral bands. PCA was employed to access the maximum principal component features of the sensitive bands used as the model input. Finally, two intelligent algorithms, random forest (RF), and a support vector machine (SVM), were utilized for establishing the SOM estimation model. The soil hyperspectral data possesses the typical nature of long-range correlation, presenting distinct fractal structures at different scales and fluctuations. The sensitive bands were from 359 nm to 405 nm, and were not impacted by window fitting size. The accuracy of the models of MMA-based sensitive bands is superior to that of the original bands. The PCA processing brings additional model performance improvement. The MMA-based models combined with RF is recommended for SOM estimation.","PeriodicalId":21957,"journal":{"name":"Spectroscopy","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139297378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Infrared and Raman Imaging Data Using Alternating and Modified Alternating Least Squares 利用交替最小二乘法和修正交替最小二乘法分析红外和拉曼成像数据

IF 0.5 4区化学

Spectroscopy Pub Date : 2023-11-01 DOI: 10.56530/spectroscopy.ai1281l4

Barry K. Lavine, T. Hancewicz

{"title":"Analysis of Infrared and Raman Imaging Data Using Alternating and Modified Alternating Least Squares","authors":"Barry K. Lavine, T. Hancewicz","doi":"10.56530/spectroscopy.ai1281l4","DOIUrl":"https://doi.org/10.56530/spectroscopy.ai1281l4","url":null,"abstract":"Modified alternating least squares (MALS) outperforms alternating least squares (ALS) in the analysis of infrared and Raman image spectral data. MALS offers superior stability thanks to ridge regression and a substantial speed advantage due to the kernel nature of the algorithm, reducing computational overhead. MALS excels in resolving basis vectors even in low signal-to-noise, nearly collinear data, whereas ALS often falls short. For spectroscopic imaging, both MALS and other ALS methods rely on spatial resolution between sample components, as low spatial resolution leads to increased mixing of components. Spectroscopic imaging combines spectroscopy and digital imaging to extract chemical composition. Multivariate curve resolution (MCR)’s foundation in ALS regression makes it a vital tool for this analysis, enabling a comprehensive examination of complex spectroscopic images. This tutorial delves into the mathematical techniques necessary for extracting chemical insights from infrared and Raman spectroscopic images. While this discussion focuses on two-dimensional spatial data, the methodology can be extended to three-dimensional data.","PeriodicalId":21957,"journal":{"name":"Spectroscopy","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139297221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Overcoming the Matrix Effect in the Elemental Analysis of Steel: An Interview with 2023 Meggers Award Winner Johannes Pedarnig 克服钢元素分析中的基体效应:专访2023年Meggers奖得主Johannes Pedarnig

4区化学

Spectroscopy Pub Date : 2023-10-01 DOI: 10.56530/spectroscopy.yd8979k2

John Chasse

引用次数: 1

Data Transforms in Chemometric Calibrations: Variation in MLR, Part 3: Reducing Sensitivity to Repack Σbi = 0 化学计量校准中的数据转换:MLR的变化，第3部分:降低对重新包装的敏感性Σbi = 0

4区化学

Spectroscopy Pub Date : 2023-10-01 DOI: 10.56530/spectroscopy.jm1087r1

Howard Mark, Jerome Workman

引用次数: 0

EDX and LIBS Studies on Gallstones Using Partial Least Squares Discriminant Analysis (PLS-DA) 基于偏最小二乘判别分析(PLS-DA)的胆结石EDX和LIBS研究

4区化学

Spectroscopy Pub Date : 2023-10-01 DOI: 10.56530/spectroscopy.bc4576b9

Varun Bali, Yugal Khajuria, Neha Sharma, Sandeep Kumar, Yonghoon Lee, Pradeep K. Rai, Vivek K. Singh

{"title":"EDX and LIBS Studies on Gallstones Using Partial Least Squares Discriminant Analysis (PLS-DA)","authors":"Varun Bali, Yugal Khajuria, Neha Sharma, Sandeep Kumar, Yonghoon Lee, Pradeep K. Rai, Vivek K. Singh","doi":"10.56530/spectroscopy.bc4576b9","DOIUrl":"https://doi.org/10.56530/spectroscopy.bc4576b9","url":null,"abstract":"Gallstone formation inside the gallbladder is a serious disease and causes health problems. To create preventative measures, it is crucial to examine the composition of gallstones and identify the minerals that are responsible for their pathogenesis. In the present work, we have employed laser-induced breakdown spectroscopy (LIBS)-based elemental studies in combination with partial least squares discriminative analyses (PLS-DA). Energy dispersive X-ray spectroscopy (EDX) was also applied to quantify the elements in the different parts (core and surface) of the gallstones. Fourier transform infrared (FT-IR) spectroscopy was used to classify the gallstone samples. Spectral studies using the LIBS and EDX techniques revealed the presence of trace and toxic elements in the center part of gallstones in higher amounts than that from surface parts. The EDX study also revealed that the elemental distribution is quite heterogenous, and their distribution is random. The EDX method revealed that the center (core) part of the stone samples contained the presence of numerous heavy and toxic elements such as arsenic (As), cadmium (Cd), mercury (Hg), lead (Pb), and nickel (Ni).","PeriodicalId":21957,"journal":{"name":"Spectroscopy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134935137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0