spectral selection
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2021 ◽  
Vol 18 (3) ◽  
pp. 64-75
Author(s):  
V. V. Yanko ◽  
Y. I. Lepikh ◽  
V. I. Santoniy ◽  
L. M. Budianskaya

A method for broadening the dynamic range of signals in optical locators of a portable complex has been developed, which allows increasing sensitivity and perform effective spatial and spectral selection of signals against noise, what affects the quality of the detecting and tracking aerodynamic objects task. An assessment of the possibility of object detecting in different interference situations, i.e. the selection of the target signal from noise, background or internal, depending on the method of signal processing.


2021 ◽  
Vol 13 (18) ◽  
pp. 3649
Author(s):  
Giorgio Morales ◽  
John W. Sheppard ◽  
Riley D. Logan ◽  
Joseph A. Shaw

Hyperspectral imaging systems are becoming widely used due to their increasing accessibility and their ability to provide detailed spectral responses based on hundreds of spectral bands. However, the resulting hyperspectral images (HSIs) come at the cost of increased storage requirements, increased computational time to process, and highly redundant data. Thus, dimensionality reduction techniques are necessary to decrease the number of spectral bands while retaining the most useful information. Our contribution is two-fold: First, we propose a filter-based method called interband redundancy analysis (IBRA) based on a collinearity analysis between a band and its neighbors. This analysis helps to remove redundant bands and dramatically reduces the search space. Second, we apply a wrapper-based approach called greedy spectral selection (GSS) to the results of IBRA to select bands based on their information entropy values and train a compact convolutional neural network to evaluate the performance of the current selection. We also propose a feature extraction framework that consists of two main steps: first, it reduces the total number of bands using IBRA; then, it can use any feature extraction method to obtain the desired number of feature channels. We present classification results obtained from our methods and compare them to other dimensionality reduction methods on three hyperspectral image datasets. Additionally, we used the original hyperspectral data cube to simulate the process of using actual filters in a multispectral imager.


2021 ◽  
pp. 103452
Author(s):  
Aso Q. Hassan ◽  
Ravin K. Barzani ◽  
Khalid M. Omer ◽  
Baraa R. Al-Hashimi ◽  
Somayeh Mohammadi ◽  
...  

2020 ◽  
Vol 45 (13) ◽  
pp. 3410 ◽  
Author(s):  
Yi Hua ◽  
Gengji Zhou ◽  
Wei Liu ◽  
Ming Xin ◽  
Franz X. Kärtner ◽  
...  

2020 ◽  
Vol 15 (7) ◽  
pp. 1645-1651
Author(s):  
E. Emetere Moses ◽  
Gabe-Oji Testimony ◽  
M.L. Akinyemi ◽  
W.A. Ayara

2020 ◽  
Vol 10 (5) ◽  
pp. 1629
Author(s):  
Dmitry Zimnyakov ◽  
Elena Isaeva ◽  
Anna Isaeva ◽  
Sergey Volchkov

A method of reference-free speckle spectroscopy based on the statistical analysis of intensity spatial fluctuations of the spectrally-selected multiple-scattered fluorescence radiation is examined in the case of the finite-band spectral selection of fluorescence light emitted by the laser-pumped random medium, and detection conditions far from the ideal case. Intensity fluctuations are recorded during point-to-point scanning of the surface of a random multiple-scattering medium, which is characterized by the dependences of the second- and third-order statistical moments of intensity on the wavelength of detected spectrally selected light. In turn, the statistical moments of intensity fluctuations are determined by the average propagation path of fluorescent radiation in the medium. This makes it possible to analyze the features of the light-medium interactions at a scale of the order of the transport mean free path of radiation propagation in the medium. Depending on the spectral selection conditions, the method is applicable for characterizing micro- or nano-structured fluorescent layers with thicknesses from tens of micrometers to several millimeters. In the examined case, the finite-band spectral selection results in the values of coherence length of the detected fluorescence radiation compared with the ensemble-averaged absolute value of the path-length difference between the stochastically interfering and spectrally selected partial contributions to the fluorescence field. In addition, non-ideal detection conditions (usage of a multimode optical fiber in the light-collecting unit) cause additional strong damping of the detected speckle intensity fluctuations. These factors lead to a remarkable suppression of spatial fluctuations of the fluorescence intensity in the course of spatially- and spectrally-resolved surface scanning of the laser-pumped probed random medium. Nevertheless, with appropriate procedures of the intrinsic noise reduction and data correction, the obtained spectral dependencies of the normalized third-order statistical moment of the band-limited fluorescence intensity clearly indicate the fluorescence propagation features in the probed multiple-scattering random media (such as a strong influence of the scattering strength and multiple self-absorption–re-emission events on the average propagation path of light in the medium).The possibilities of noise reduction and data correction in the case of applying the band-limited reference-free spectroscopic instrumentation with low spectral and spatial resolution are illustrated by the experimental results obtained using the Rhodamine-6G-doped and continuous wave (CW)-laser-pumped layers of the densely packed titania and silica particles.


2019 ◽  
Vol 887 (2) ◽  
pp. 241 ◽  
Author(s):  
Zhenping Yi ◽  
Zesheng Chen ◽  
Jingchang Pan ◽  
Lili Yue ◽  
Yuxiang Lu ◽  
...  

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