Infrared Devices And Techniques (Revision)

Rogalski, Antoni; Chrzanowski, Krzysztof

doi:10.2478/mms-2014-0057

Cited by 73 publications

(41 citation statements)

References 19 publications

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“…For example, it can be divided into the near infrared (NIR: 0.7-1.4 µm), SWIR: 1.4-2.5 µm and far infrared (FIR: 15-1000 µm) regions. The mid-wave infrared (MWIR) and long-wave infrared (LWIR) are the subsets that correspond to the wavelength ranges of 2.5−7 µm and 7−15 µm, respectively [9,10]. Spectral signals in MWIR and LWIR regions are produced as a consequence of molecular vibrations of the functional groups that can be related to mineralogy [11,12].Numerous previous studies indicate that IR technologies can be utilised for the accurate identification of minerals.…”

mentioning

confidence: 99%

Fusion of Mid-Wave Infrared and Long-Wave Infrared Reflectance Spectra for Quantitative Analysis of Minerals

Desta

Buxton

Jansen

2020

Sensors

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Accurate quantitative mineralogical data has significant implications in mining operations. However, quantitative analysis of minerals is challenging for most of the sensor outputs. Thus, it requires advances in data analytics. In this work, data fusion approaches for integrating datasets pertaining to the mid-wave infrared (MWIR) and long-wave infrared (LWIR) spectral regions are proposed, aiming to facilitate more accurate prediction of SiO 2 , Al 2 O 3 , and Fe 2 O 3 concentrations in a polymetallic sulphide deposit. Two approaches of low-level data fusion were applied to these datasets. In the first approach, the pre-processed blocks of MWIR and LWIR data were concatenated to form a fused data block. In the second approach, a prior variable selection was performed to extract the most important features from the MWIR and LWIR datasets. The extracted informative features were subsequently concatenated to form a new fused data block. Next, prediction models that link the mineralogical concentrations with the infrared reflectance spectra were developed using partial-least squares regression (PLSR), principal component regression (PCR) and support vector regression (SVR) analytical techniques. These models were applied to the fused data blocks as well as the individual (MWIR and LWIR) data blocks. The obtained results indicate that SiO 2 , Al 2 O 3 , and Fe 2 O 3 mineral concentrations can be successfully predicted using both MWIR and LWIR spectra individually, but the prediction performance greatly improved with data fusion; where the PLSR, PCR, and SVR models provided good and acceptable results. The proposed approach could be extended for online analysis of mineral concentrations in different deposit types. Thus, it would be highly beneficial in mining operations, where indications of mineralogical concentrations can have significant financial implications.for geometallurgical applications is not limited to knowledge on the grades of valuable elements and their variability, but also extends to the gangue minerals, as their composition and volume also play a crucial role in ore processing. Extant studies highlight the importance of mineralogical information for the sustainability and energy efficiency of geometallurgical processes [1,2]. Ore minerals occur in veins, disseminated in the host rock and/or in pores with varying concentrations of other associated minerals such as silica, oxides and carbonates. The concentration of these minerals can be associated with the metallurgical behaviour of the ore minerals. Therefore, quantitative mineralogical information on the co-occurring minerals is one of the crucial parameters for the optimisation of ore processing.Despite rapid advances in sensor technologies, there is still a demand for novel ideas to enable quantitative investigations of mineralogical compositions using sensor-derived data. In addition, in-situ application of sensor technologies requires portable and high-speed systems. Portable sensor technologies (such as X-ray fluorescence-XRF, and short-wave in...

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mentioning

confidence: 99%

Fusion of Mid-Wave Infrared and Long-Wave Infrared Reflectance Spectra for Quantitative Analysis of Minerals

Desta

Buxton

Jansen

2020

Sensors

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“…Mid-wave IR (MWIR) and long-wave IR (LWIR) spectral ranges cover the second (~3-5 µm) and the third (~8-14 µm) atmospheric transmission windows in the infrared radiation. 1 Hence, MWIR and LWIR imaging or thermography systems have broad scientific, industrial, and military applications such as molecular fingerprint imaging, remote sensing, free space telecommunication, target discrimination, and surveillance. [2][3][4][5][6] Conventional bulk semiconductors such as Si and III-V alloys do not interact with the low energy photons effectively as one approaches the MWIR.…”

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confidence: 99%

Mid-wave and Long-Wave Infrared Linear Dichroism in a Hexagonal Perovskite Chalcogenide

et al. 2018

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Mid-wave infrared (IR) and long-wave IR spectral ranges are of growing interest in various applications such as thermal imaging, thermography-based remote sensing, and night vision. Materials widely used for IR photodetectors in this regime include cadmium mercury telluride alloys and nanostructures of compound semiconductor. The materials development for IR optics will drive down the cost of IR optical systems and enable larger scale deployment. Here, we report a mid-wave IR responsive material composed of earth abundant and non-toxic elements, Sr1+xTiS3. It has a highly anisotropic quasi-one-dimensional structure similar to hexagonal perovskites. We grew large, high quality single crystals and studied its anisotropic optical properties. We observed two distinct optical absorption edges at ~2.5 µm and ~5 µm, respectively, for linear polarizations along two principle axes. The material demonstrated strong and broadband linear dichroism spanning mid-wave IR and long-wave IR, with a dichroitic ratio of up to 22.

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“…2 and consists of a pulsed diode laser with a therapeutic head directly facing the phantom from a distance of 30 mm, an optical skin phantom mounted in the center, and two configurations of an IR camera (VIGOcam v5, VIGO System S.A., Poland) with microbolometer measuring at an 8-to 14-μm wavelength. 36,37 The camera was calibrated prior to use with a supplied manufacturer black body radiation source with a calibrated temperature sensor. It was situated at 45 deg angle and at a 4-mm distance from the phantom area, facing either the phantom from the laser side (front side), to measure the temperature at the phantom surface, or from the other side (backside), for determination of the radiation passing through the bulk of the phantom.…”

Section: Thermal Effects Of Laser Irradiation Of Skin Phantomsmentioning

confidence: 99%

Use of optical skin phantoms for preclinical evaluation of laser efficiency for skin lesion therapy

Wróbel

Jędrzejewska‐Szczerska

Galla

et al. 2015

J. Biomed. Opt

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Abstract. Skin lesions are commonly treated using laser heating. However, the introduction of new devices into clinical practice requires evaluation of their performance. This study presents the application of optical phantoms for assessment of a newly developed 975-nm pulsed diode laser system for dermatological purposes. Such phantoms closely mimic the absorption and scattering of real human skin (although not precisely in relation to thermal conductivity and capacitance); thus, they can be used as substitutes for human skin for approximate evaluation of laser heating efficiency in an almost real environment. Thermographic imaging was applied to measure the spatial and temporal temperature distributions on the surface of laser-irradiated phantoms. The study yielded results of heating with regard to phantom thickness and absorption, as well as laser settings. The methodology developed can be used in practice for preclinical evaluations of laser treatment for dermatology.

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Infrared Devices And Techniques (Revision)

Cited by 73 publications

References 19 publications

Fusion of Mid-Wave Infrared and Long-Wave Infrared Reflectance Spectra for Quantitative Analysis of Minerals

Fusion of Mid-Wave Infrared and Long-Wave Infrared Reflectance Spectra for Quantitative Analysis of Minerals

Mid-wave and Long-Wave Infrared Linear Dichroism in a Hexagonal Perovskite Chalcogenide

Use of optical skin phantoms for preclinical evaluation of laser efficiency for skin lesion therapy

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