Computer Optics最新文献_第2页

Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images 光谱-空间卷积神经网络模型在高光谱图像土壤类型分类中的集成

Computer Optics Pub Date : 2023-10-01 DOI: 10.18287/2412-6179-co-1260

N.A. Firsov, V.V. Podlipnov, N.A. Ivliev, D.D. Ryskova, A.V. Pirogov, A.A. Muzyka, A.R. Makarov, V.E. Lobanov, V.I. Platonov, A.N. Babichev, V.A. Monastyrskiy, V.I. Olgarenko, D.P. Nikolaev, R.V. Skidanov, A.V. Nikonorov, N.L. Kazanskiy, V.A. Soyfer

{"title":"Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images","authors":"N.A. Firsov, V.V. Podlipnov, N.A. Ivliev, D.D. Ryskova, A.V. Pirogov, A.A. Muzyka, A.R. Makarov, V.E. Lobanov, V.I. Platonov, A.N. Babichev, V.A. Monastyrskiy, V.I. Olgarenko, D.P. Nikolaev, R.V. Skidanov, A.V. Nikonorov, N.L. Kazanskiy, V.A. Soyfer","doi":"10.18287/2412-6179-co-1260","DOIUrl":"https://doi.org/10.18287/2412-6179-co-1260","url":null,"abstract":"The paper presents a study of various approaches to the classification of soil covers based on neural network algorithms using hyperspectral remote and proximal sensing of the Earth. The spectral distributions were recorded in the laboratory using an Offner imaging scanning hyperspectrometer. Spectral-spatial characteristics of nine soil samples from various parts of a farming land in the Samara region were experimentally studied. Using a method of energy dispersion microanalysis, the correspondence between the hyperspectral data and the chemical composition of the samples taken was established. Based on the data obtained, a neural network-aided classification of soil samples was implemented depending on the content of constituent elements such as carbon and calcium. A normalized spectral-spatial convolutional neural network was used as a classifier. As a result of the work, an approach to the classification of high-resolution hyper-spectral images based on the refinement of a multiclass convolutional neural network using an ensemble of binary classifiers is proposed. It is shown that the classification of soil samples by carbon and calcium content is carried out with an accuracy of 0.96.","PeriodicalId":46692,"journal":{"name":"Computer Optics","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136059523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography 介观时间分辨荧光分子层析成像的时间点扩展函数和灵敏度函数的蒙特卡罗建模

Computer Optics Pub Date : 2023-10-01 DOI: 10.18287/2412-6179-co-1295

S.I. Samarin, A.B. Konovalov, V.V. Vlasov, I.D. Solovyev, A.P. Savitsky, V.V. Tuchin

引用次数: 0

Investigation of polarization transformations performed with a refractive bi-conical axicon using the FDTD method 用时域有限差分法研究折射率双锥轴的偏振变换

Computer Optics Pub Date : 2023-10-01 DOI: 10.18287/2412-6179-co-1326

P.A. Khorin, A.M. Algubili, S.A. Degtyarev, S.K. Sergunin, S.V. Karpeev, None S.N. Khonina 1,2

{"title":"Investigation of polarization transformations performed with a refractive bi-conical axicon using the FDTD method","authors":"P.A. Khorin, A.M. Algubili, S.A. Degtyarev, S.K. Sergunin, S.V. Karpeev, None S.N. Khonina 1,2","doi":"10.18287/2412-6179-co-1326","DOIUrl":"https://doi.org/10.18287/2412-6179-co-1326","url":null,"abstract":"We investigate polarization transformations carried out with a refractive bi-conical axicon using the FDTD method. The approach is based on the transformation of a circularly polarized optical beam into an azimuthally polarized beam due to the use of a single refractive element with two conical surfaces. On the inner surface of the element, polarization conversion occurs due to the reflection and refraction of rays at the Brewster angle, while the outer surface operates as a converted beam collimator. The distributions of the components of the electric field vector and the polarization vector at different distances from the optical element are considered as criteria for a successful polarization transformation. By numerical simulation of the performance of a bi-conical axicon made of glass with a refractive index of n = 1.4958, the efficiency of the proposed approach for a circularly polarized Gaussian beam with a wavelength of λ = 1.5 µm is shown. The proposed element is shown to be immune to chromatic aberrations in a significant range of changes in the refractive index of the element material and incident wavelengths (1.5 ≤ n ≤ 1.7; 1 μm ≤ λ ≤ 1.5 μm).","PeriodicalId":46692,"journal":{"name":"Computer Optics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136056130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Facial expression recognition based on adaptation of the classifier to videos of the user 基于分类器对用户视频自适应的面部表情识别

Computer Optics Pub Date : 2023-10-01 DOI: 10.18287/2412-6179-co-1269

E.N. Churaev, A.V. Savchenko

引用次数: 0

Calculation of the intensity at the sharp focus of a cylindrical vector beam by three methods 用三种方法计算圆柱矢量光束尖锐焦点处的强度

Computer Optics Pub Date : 2023-10-01 DOI: 10.18287/2412-6179-co-1346

A.G. Nalimov, V.V. Kotlyar, Yu.V. Khanenko

引用次数: 0

High-order optical Hall effect at the tight focus of laser radiation 激光辐射紧聚焦处的高阶光学霍尔效应

Computer Optics Pub Date : 2023-10-01 DOI: 10.18287/2412-6179-co-1310

V.V. Kotlyar, S.S. Stafeev, E.S. Kozlova

引用次数: 0

Color imaging using a system based on 3 diffractive lenses 使用基于3个衍射透镜的系统进行彩色成像

Computer Optics Pub Date : 2023-10-01 DOI: 10.18287/2412-6179-co-1258

S. Stepanenko, V. Evdokimova, M. Petrov, R. Skidanov, A. Nikonorov

引用次数: 0

Screen recapture detection based on color-texture analysis of document boundary regions 基于文档边界区域颜色纹理分析的屏幕重抓检测

Computer Optics Pub Date : 2023-08-01 DOI: 10.18287/2412-6179-co-1237

I.A. Kunina, A.V. Sher, D.P. Nikolaev

引用次数: 0

Evaluation of the influence of surface irregularity of optical crystal microresonators on their dispersion characteristics 光学晶体微谐振器表面不规则性对其色散特性影响的评价

Computer Optics Pub Date : 2023-08-01 DOI: 10.18287/2412-6179-co-1100

A.N. Danilyn, A.I. Yurin, N.M. Kondratyev, D.D. Ruzhitskaya, N.Yu. Dmitriev, F.V. Bulygin, S.G. Semenchinsky, M.I. Krasivskaya, K.N. Min’kov

引用次数: 0

The preliminary study of diabetic retinopathy detection based on intensity parameters with optical coherence tomography angiography 基于光相干断层血管造影强度参数检测糖尿病视网膜病变的初步研究

Computer Optics Pub Date : 2023-08-01 DOI: 10.18287/2412-6179-co-1261

J. Hou, H. Shi, W. Gao, P. Lin, B. Li, Y. Shi, I.A. Matveeva, V.P. Zakharov, I.A. Bratchenko

{"title":"The preliminary study of diabetic retinopathy detection based on intensity parameters with optical coherence tomography angiography","authors":"J. Hou, H. Shi, W. Gao, P. Lin, B. Li, Y. Shi, I.A. Matveeva, V.P. Zakharov, I.A. Bratchenko","doi":"10.18287/2412-6179-co-1261","DOIUrl":"https://doi.org/10.18287/2412-6179-co-1261","url":null,"abstract":"In this study, the diagnostic abilities of intensity parameters of optical coherence tomography angiography (OCTA) images in the early detection of diabetic retinopathy (DR) were determined. 78 normal healthy eyes, 10 diabetic eyes with mild non-proliferative diabetic retinopathy (NPDR), and 10 diabetic eyes with moderate NPDR were employed. Four retinal vascular plexuses were generated by using OCTA, which included the nerve fiber layer vascular plexus (NFLVP), superficial vascular plexus (SVP), intermediate capillary plexus (ICP) and deep capillary plexus (DCP). The parafoveal zone in each OCTA image was divided into four sectors which were the superior, temporal, inferior, and nasal sectors. Five intensity parameters including the mean, median, variance, skewness, and kurtosis of intensities were calculated for each sector. The factor of aging was evaluated among normal healthy subgroups. The diagnostic abilities of intensity parameters were evaluated between normal healthy subjects and diabetic patients with DR. Our results showed that the variance of intensities in superior sector in ICP achieved the highest AUROC value of 0.95 with the sensitivity of 0.87 and the specificity of 1.000 when comparing the diabetic patients with the mild NPDR to normal healthy subjects. The mean intensity in superior sector in ICP achieved the second highest AUROC value of 0.95 with the sensitivity of 0.90 and the specificity of 0.90 when comparing the diabetic patients with the moderate NPDR to normal healthy subjects. The proposed approach could offer a simple way to differentiate diabetic patients with early DR from normal healthy subjects without performing the relatively complicated image processing techniques.","PeriodicalId":46692,"journal":{"name":"Computer Optics","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134998057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0