Application of Drone Thermal Infrared Image for Thermal Environment Analysis: For Samgeori Park in Cheonan-si, Chungcheongnam-do

Seong-Ho Lee;  ; Dong-Ho Jang

doi:10.14383/cri.2021.16.2.157

Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera

Remote Sensing ◽

10.3390/rs13091852 ◽

2021 ◽

Vol 13 (9) ◽

pp. 1852

Author(s):

Yiren Wang ◽

Dong Liu ◽

Wanyi Xie ◽

Ming Yang ◽

Zhenyu Gao ◽

...

Keyword(s):

Infrared Image ◽

Thermal Infrared ◽

Field Of View ◽

Detection Scheme ◽

Detection Approach ◽

Cloud Characteristics ◽

Formation And Evolution ◽

Fish Eye ◽

Infrared Channel

The formation and evolution of clouds are associated with their thermodynamical and microphysical progress. Previous studies have been conducted to collect images using ground-based cloud observation equipment to provide important cloud characteristics information. However, most of this equipment cannot perform continuous observations during the day and night, and their field of view (FOV) is also limited. To address these issues, this work proposes a day and night clouds detection approach integrated into a self-made thermal-infrared (TIR) all-sky-view camera. The TIR camera consists of a high-resolution thermal microbolometer array and a fish-eye lens with a FOV larger than 160°. In addition, a detection scheme was designed to directly subtract the contamination of the atmospheric TIR emission from the entire infrared image of such a large FOV, which was used for cloud recognition. The performance of this scheme was validated by comparing the cloud fractions retrieved from the infrared channel with those from the visible channel and manual observation. The results indicated that the current instrument could obtain accurate cloud fraction from the observed infrared image, and the TIR all-sky-view camera developed in this work exhibits good feasibility for long-term and continuous cloud observation.

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Optimal Air Conditioner Placement Using a Simple Thermal Environment Analysis Method for Continuous Large Spaces with Predominant Advection

Energies ◽

10.3390/en14154663 ◽

2021 ◽

Vol 14 (15) ◽

pp. 4663

Author(s):

Tatsuhiro Yamamoto ◽

Akihito Ozaki ◽

Myonghyang Lee

Keyword(s):

Air Conditioning ◽

Thermal Environment ◽

Fluid Dynamic ◽

Optimal Placement ◽

Air Conditioner ◽

Analysis Method ◽

Computational Fluid Dynamic Analysis ◽

Environment Analysis ◽

Air Conditioners ◽

Energy Simulations

The number of houses with large, continuous spaces has increased recently. With improvements in insulation performance, it has become possible to efficiently air condition such spaces using a single air conditioner. However, the air conditioning efficiency depends on the placement of the air conditioner. The only way to determine the optimal placement of such air conditioners is to conduct an experiment or use computational fluid dynamic analysis. However, because the analysis is performed over a limited period, it is difficult to consider non-stationarity effects without using an energy simulation. Therefore, in this study, energy simulations and computational fluid dynamics analyses were coupled to develop a thermal environment analysis method that considers non-stationarity effects, and various air conditioner arrangements were investigated to demonstrate the applicability of the proposed method. The accuracy verification results generally followed the experimental results. A case study was conducted using the calculated boundary conditions, and the results showed that the placement of two air conditioners in the target experimental house could provide sufficient air conditioning during both winter and summer. Our results suggest that this method can be used to conduct preliminary studies if the necessary data are available during design or if an experimental house is used.

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Retrieval of the pixel component temperatures from multi-band thermal infrared image using Bayesian inversion technique

10.1117/12.2227579 ◽

2016 ◽

Author(s):

Feng Xie ◽

Honglan Shao ◽

Zhihui Liu ◽

Chengyu Liu ◽

Changxing Zhang ◽

...

Keyword(s):

Infrared Image ◽

Thermal Infrared ◽

Bayesian Inversion ◽

Inversion Technique ◽

Multi Band

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A novel method for determination of the oil slick area based on visible and thermal infrared image fusion

Infrared Physics & Technology ◽

10.1016/j.infrared.2021.103915 ◽

2021 ◽

Vol 119 ◽

pp. 103915

Author(s):

Li-Feng Wang ◽

Li-Ping Xin ◽

Bo Yu ◽

Lian Ju ◽

Lai Wei

Keyword(s):

Image Fusion ◽

Infrared Image ◽

Thermal Infrared ◽

Oil Slick ◽

Novel Method

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DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-2-w7-235-2019 ◽

2019 ◽

Vol IV-2/W7 ◽

pp. 235-242

Author(s):

J. Zhu ◽

Y. Xu ◽

L. Hoegner ◽

U. Stilla

Keyword(s):

Condition Monitoring ◽

Point Cloud ◽

Infrared Image ◽

Point Clouds ◽

Thermal Infrared ◽

3D Models ◽

Corner Detection ◽

Leakage Detection ◽

Registration Process ◽

Camera Pose

Abstract. In this work, we discussed how to directly combine thermal infrared image (TIR) and the point cloud without additional assistance from GCPs or 3D models. Specifically, we propose a point-based co-registration process for combining the TIR image and the point cloud for the buildings. The keypoints are extracted from images and point clouds via primitive segmentation and corner detection, then pairs of corresponding points are identified manually. After that, the estimated camera pose can be computed with EPnP algorithm. Finally, the point cloud with thermal information provided by IR images can be generated as a result, which is helpful in the tasks such as energy inspection, leakage detection, and abnormal condition monitoring. This paper provides us more insight about the probability and ideas about the combining TIR image and point cloud.

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Thermal Environment Analysis for Preserving Ancient Mural Painting in Songsan-ri Tomb No. 6, Gongju, Korea

Journal of Conservation Science ◽

10.12654/jcs.2016.32.4.07 ◽

2016 ◽

Vol 32 (4) ◽

pp. 521-534 ◽

Cited By ~ 2

Author(s):

Dae Woon Kim ◽

Sun Hye Jeong ◽

Min Young Lee ◽

Yong Jae Chung

Keyword(s):

Thermal Environment ◽

Mural Painting ◽

Environment Analysis

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INFRARED CEPHALIC-VEIN TO ASSIST BLOOD EXTRACTION TASKS: AUTOMATIC PROJECTION AND RECOGNITION

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-w4-193-2017 ◽

2017 ◽

Vol XLII-2/W4 ◽

pp. 193-197

Author(s):

S. Lagüela ◽

M. Gesto ◽

B. Riveiro ◽

D. González-Aguilera

Keyword(s):

Computer Vision ◽

Infrared Image ◽

Thermal Infrared ◽

Cephalic Vein ◽

Automatic Identification ◽

Infrared Band ◽

Thermographic Camera ◽

Close Range ◽

Vein Recognition ◽

Thermal Infrared Imagery

Thermal infrared band is not commonly used in photogrammetric and computer vision algorithms, mainly due to the low spatial resolution of this type of imagery. However, this band captures sub-superficial information, increasing the capabilities of visible bands regarding applications. This fact is especially important in biomedicine and biometrics, allowing the geometric characterization of interior organs and pathologies with photogrammetric principles, as well as the automatic identification and labelling using computer vision algorithms. This paper presents advances of close-range photogrammetry and computer vision applied to thermal infrared imagery, with the final application of Augmented Reality in order to widen its application in the biomedical field. In this case, the thermal infrared image of the arm is acquired and simultaneously projected on the arm, together with the identification label of the cephalic-vein. This way, blood analysts are assisted in finding the vein for blood extraction, especially in those cases where the identification by the human eye is a complex task. Vein recognition is performed based on the Gaussian temperature distribution in the area of the vein, while the calibration between projector and thermographic camera is developed through feature extraction and pattern recognition. The method is validated through its application to a set of volunteers, with different ages and genres, in such way that different conditions of body temperature and vein depth are covered for the applicability and reproducibility of the method.

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