• Title/Summary/Keyword: infrared image analysis

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Research on the relationship between the thermal characteristics and the type of land cover in Beijing urban area by ASTER data

  • Zhu, QiJiang;Zhang, Xin;Bai, Xianghua
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.277-279
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    • 2003
  • The study utilizes remote sensing as the main monitoring means. With different spatial high-resolution, multichannel ASTER remote sensing image as the main information in Beijing city zone; with regional border and statistical data as auxiliary factor a study between the thermal space distribution character and the underground medium is analyzed based on the GIS logical algorithm and synthetic analysis technology. Results show thermal forming mechanism and the rule of distribution is mainly related to the underground medium and the change of the city distribution. Different underground medium has different degree and intensity influence on the thermal space distribution. Furthermore, urban greenbelt and water areas can reduce the thermal effect and large-scale greenbelt creates green island effect. In addition, Road net, residential area, population density, heat resources and so on have some positive effect on the thermal distribution, which increase the local temperature and intensity on the other hand. It is important to study the thermal distribution and its related factors, which contributes to the plan, construction and development of the city.

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Multiple-Frame Correlation Analysis to Improve the Accuracy of a Far-Infrared Surface Image Velocimeter (원적외선 표면영상유속계의 정확도 향상을 위한 다중 프레임 상호상관분석)

  • Yu, Kwonkyu;Bae, In Hyuk;Hwang, Jeong Geun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.76-76
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    • 2017
  • 표면영상유속계는 홍수시 하천의 표면유속을 손쉽게 측정할 수 있는 매우 효율적인 장비이다. 특히 원적외선 카메라를 이용할 경우 주야간에 관계없이 사용할 수 있어, 그 유용성이 크게 높아진다. 다만, 원적외선 카메라는 그 특성상 해상도가 일반 비디오 카메라에 비해 현저하게 떨어지는 단점이 있다. 본 연구는 이러한 해상도가 낮은 원적외선 영상을 이용하여 보다 효율적으로 표면유속을 산정하는 새로운 기법을 구현하는 것이다. 해상도가 낮다는 것은 영상 내에 추적을 위한 추적자가 잘 나타나지 않는다는 의미이다. 이처럼 적절한 추적자가 영상내에 적을 경우에는 정확한 표면유속을 산정하기 곤란하다. 본 연구에서는 이 문제를 해결하기 위해 두 가지 방안을 조합하였다. 기존의 상호상관분석에서는 동영상의 연속된 프레임 두 매를 이용하였다. 본 연구에서는 연속된 여러 매의 프레임을 병합하여 한 매의 병합영상으로 만들고, 이러한 병합영상 두 매를 상호상관분석하는 방법을 개발하였다. 이 경우 영상을 병합하기 때문에 한 병합영상내에 충분한 수의 추적자가 들어올 가능성이 그만큼 높아지게 된다. 정확도 향상을 위한 두 번째 방안은, 돗수분포 평활화를 이용하는 것이다. 돗수분포 평활화 기법은 대비가 낮은 영상의 대비를 높이는 방법이다. 이렇게 대비를 높여서, 영상내 추적자의 존재를 더욱 확실하게 만들 수 있다. 이 두 가지 방법을 병용하여 새로 원적외선 표면영상유속계를 구현하고, 이를 기존의 분석이 어려웠던 동영상에 적용한 결과 그 분석 정확도가 현저하게 높아지는 것을 확인할 수 있었다.

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Experimental study on the combustion characteristics of titanium alloy (티타늄 합금 폐기물의 연소 특성에 관한 실험적 연구)

  • Lee, Jun-Sik;Nam, Ki-Hun
    • Journal of the Korean Society of Industry Convergence
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    • v.22 no.2
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    • pp.105-110
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    • 2019
  • Most titanium alloy waste with cutting oil was discarded without recycling process so that it can be caused by metal and oil fires. However, there is no fire management system and studies on the titanium or titanium alloy waste in spite of high fire risk. The purpose of this experimental study is to identify the fire risk of the titanium alloy waste with cutting oil. We collected the 120g waste which was made in the biomedical titanium alloy cutting process. The waste was burned and conducted thermal image analysis with infrared camera. The experimental results which illustrated the process, characteristics, and trends of fire are presented. Firstly, the cutting oil was burned and partially the titanium alloy waste was burned. The maximum temperature of the fire was more than $650^{\circ}C$ in some specific spots. These results means when a lot of titanium alloy waste with cutting oil was ignited, this fire could connect the titanium fire. In other words, the fire has a flammable liquid fire and combustible metal fire at the same time. The experimental study could be used fire prevention, response, and investigation of the titanium alloy waste.

Common Optical System for the Fusion of Three-dimensional Images and Infrared Images

  • Kim, Duck-Lae;Jung, Bo Hee;Kong, Hyun-Bae;Ok, Chang-Min;Lee, Seung-Tae
    • Current Optics and Photonics
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    • v.3 no.1
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    • pp.8-15
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    • 2019
  • We describe a common optical system that merges a LADAR system, which generates a point cloud, and a more traditional imaging system operating in the LWIR, which generates image data. The optimum diameter of the entrance pupil was determined by analysis of detection ranges of the LADAR sensor, and the result was applied to design a common optical system using LADAR sensors and LWIR sensors; the performance of these sensors was then evaluated. The minimum detectable signal of the $128{\times}128-pixel$ LADAR detector was calculated as 20.5 nW. The detection range of the LADAR optical system was calculated to be 1,000 m, and according to the results, the optimum diameter of the entrance pupil was determined to be 15.7 cm. The modulation transfer function (MTF) in relation to the diffraction limit of the designed common optical system was analyzed and, according to the results, the MTF of the LADAR optical system was 98.8% at the spatial frequency of 5 cycles per millimeter, while that of the LWIR optical system was 92.4% at the spatial frequency of 29 cycles per millimeter. The detection, recognition, and identification distances of the LWIR optical system were determined to be 5.12, 2.82, and 1.96 km, respectively.

Characterization of jute fibre reinforced pine rosin modified soy protein isolate green composites

  • Sakhare, Karishma M.;Borkar, Shashikant P.
    • Advances in materials Research
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    • v.11 no.3
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    • pp.191-209
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    • 2022
  • Very slow degradation of synthetic based polymers has created a severe environmental issue that increased awareness towards research in polymers of biodegradable property. Soy protein isolate (SPI) is a natural biopolymer used as matrix in green composites but it has limitations of low mechanical properties and high water sensitivity. To enhance mechanical properties and reduce water sensitivity of Jute-SPI composites, SPI was modified with pine rosin which is also a natural cross-linking agent. 30% glycerol on the weight basis of a matrix was used as a plasticizer. The fibre volume fraction was kept constant at 0.2 whereas the pine rosin in SPI ranged from 5% to 30% of the matrix. The effects of pine rosin on mechanical, thermal, water sensitivity and surface morphology have been characterized using various techniques. The mechanical properties and water absorbency were found to be optimum for 15% pine rosin in Jute-SPI composite. Therefore, Jute-SPI composite without pine rosin and with 15% pine rosin were chosen for investigation through characterization by Fourier transforms infrared spectroscopy (FTIR), Thermo-gravimetric analysis (TGA), X-Ray diffraction (XRD) and Scanning electron microscope (SEM). The surface morphology of the composite was influenced by pine rosin which is shown in the SEM image. TGA measurement showed that the thermal properties improved due to the addition of pine rosin. Antimicrobial test showed antimicrobial property in the composite occurring 15% pine rosin. The research paper concludes that the modification of SPI resin with an optimum percentage of pine rosin enhanced mechanical, thermal as well as water-resistant properties of jute fibre reinforced composites.

Deep learning of sweep signal for damage detection on the surface of concrete

  • Gao Shanga;Jun Chen
    • Computers and Concrete
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    • v.32 no.5
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    • pp.475-486
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    • 2023
  • Nondestructive evaluation (NDE) is an important task of civil engineering structure monitoring and inspection, but minor damage such as small cracks in local structure is difficult to observe. If cracks continued expansion may cause partial or even overall damage to the structure. Therefore, monitoring and detecting the structure in the early stage of crack propagation is important. The crack detection technology based on machine vision has been widely studied, but there are still some problems such as bad recognition effect for small cracks. In this paper, we proposed a deep learning method based on sweep signals to evaluate concrete surface crack with a width less than 1 mm. Two convolutional neural networks (CNNs) are used to analyze the one-dimensional (1D) frequency sweep signal and the two-dimensional (2D) time-frequency image, respectively, and the probability value of average damage (ADPV) is proposed to evaluate the minor damage of structural. Finally, we use the standard deviation of energy ratio change (ERVSD) and infrared thermography (IRT) to compare with ADPV to verify the effectiveness of the method proposed in this paper. The experiment results show that the method proposed in this paper can effectively predict whether the concrete surface is damaged and the severity of damage.

Scanning acoustic microscopy for material evaluation

  • Hyunung Yu
    • Applied Microscopy
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    • v.50
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    • pp.25.1-25.11
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    • 2020
  • Scanning acoustic microscopy (SAM) or Acoustic Micro Imaging (AMI) is a powerful, non-destructive technique that can detect hidden defects in elastic and biological samples as well as non-transparent hard materials. By monitoring the internal features of a sample in three-dimensional integration, this technique can efficiently find physical defects such as cracks, voids, and delamination with high sensitivity. In recent years, advanced techniques such as ultrasound impedance microscopy, ultrasound speed microscopy, and scanning acoustic gigahertz microscopy have been developed for applications in industries and in the medical field to provide additional information on the internal stress, viscoelastic, and anisotropic, or nonlinear properties. X-ray, magnetic resonance, and infrared techniques are the other competitive and widely used methods. However, they have their own advantages and limitations owing to their inherent properties such as different light sources and sensors. This paper provides an overview of the principle of SAM and presents a few results to demonstrate the applications of modern acoustic imaging technology. A variety of inspection modes, such as vertical, horizontal, and diagonal cross-sections have been presented by employing the focus pathway and image reconstruction algorithm. Images have been reconstructed from the reflected echoes resulting from the change in the acoustic impedance at the interface of the material layers or defects. The results described in this paper indicate that the novel acoustic technology can expand the scope of SAM as a versatile diagnostic tool requiring less time and having a high efficiency.

Development of Smart-phone based Thermal Imaging Diagnostic System for Monitoring Disc Pads of Crane (크레인 디스크 패드 모니터링을 위한 스마트폰 기반의 열영상 진단 시스템 개발)

  • Oh, Yeon-Jae;Park, Kyoung-Wook;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.12
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    • pp.1397-1404
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    • 2014
  • Grab cranes are used for multi-purpose when the sand and soil are deposited into harbor wharf or the undersea construction is performed. Among the components of crane grab, the wire drum and disc brake pad are key expendables and have disadvantages that lot of heat is generated and very expensive when replacing them. In this study, the thermal image analysis for the disc brake, which works with wire drum of the crane is suggested. The suggested system performs the pad thermal diagnosis through the thermal image using the characteristics that the disc and pad surface temperatures are distributed abnormally before the brake failure and the disc pad damage. Therefore, the damage by the failure can be prevented by discovering the abnormality of the machine parts before failure and the life cycle of the pad and the cost can be extended and saved by operating the crane performing constant checkup for the overload.

Study on the possibility of the aerosol and/or Yellow dust detection in the atmosphere by Ocean Scanning Multispectral Imager(OSMI)

  • Chung, Hyo-Sang;Park, Hye-Sook;Bag, Gyun-Myeong;Yoon, Hong-Joo;Jang, Kwang-Mi
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.409-414
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    • 1998
  • To examine the detectability of the aerosol and/or Yellow dust from China crossing over the Yellow sea, three works carried out as follows , Firstly, a comparison was made of the visible(VIS), water vapor(WV), and Infrared(IR) images of the GMS-5 and NOAA/AVHRR on the cases of yellow sand event over Korea. Secondly, the spectral radiance and reflectance(%) was observed during the yellow sand phenomena on April, 1998 in Seoul using the GER-2600 spectroradiometer, which observed the reflected radiance from 350 to 2500 nm in the atmosphere. We selected the optimum wavelength for detecting of the yellow sand from this observation, considering the effects of atmospheric absorption. Finally, the atmospheric radiance emerging from the LOWTRAN-7 radiative transfer model was simulated with and without yellow sand, where we used the estimated aerosol column optical depth ($\tau$ 673 nm) in the Meteorological Research Institute and the d'Almeida's statistical atmospheric aerosol radiative characteristics. The image analysis showed that it was very difficult to detect the yellow sand region only by the image processing because the albedo characteristics of the sand vary irregularly according to the density, size, components and depth of the yellow sand clouds. We found that the 670-680 nm band was useful to simulate aerosol characteristics considering the absorption band from the radiance observation. We are now processing the simulation of atmospheric radiance distribution in the range of 400-900 nm. The purpose of this study is to present the preliminary results of the aerosol and/or Yellow dust detectability using the Ocean Scanning Multispectral Imager(OSMI), which will be mounted on KOMPSAT-1 as the ocean color monitoring sensor with the range of 400-900 nm wavelength.

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3D Cloud Animation using Cloud Modeling Method of 2D Meteorological Satellite Images (2차원 기상 위성 영상의 구름 모델링 기법을 이용한 3차원 구름 애니메이션)

  • Lee, Jeong-Jin;Kang, Moon-Koo;Lee, Ho;Shin, Byeong-Seok
    • Journal of Korea Game Society
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    • v.10 no.1
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    • pp.147-156
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    • 2010
  • In this paper, we propose 3D cloud animation by cloud modeling method of 2D images retrieved from a meteorological satellite. First, on the satellite images, we locate numerous control points to perform thin-plate spline warping analysis between consecutive frames for the modeling of cloud motion. In addition, the spectrum channels of visible and infrared wavelengths are used to determine the amount and altitude of clouds for 3D cloud image reconstruction. Pre-integrated volume rendering method is used to achieve seamless inter-laminar shades in real-time using small number of slices of the volume data. The proposed method could successfully construct continuously moving 3D clouds from 2D satellite images at an acceptable speed and image quality.