The research on image preprocessing technique for the high sensitivity push-broom long wave infrared camera

2018 ◽  
Author(s):  
Liang Long ◽  
Lisha Zhang ◽  
Limin Wu ◽  
Wang Zhe
Keyword(s):  
Infrared Camera ◽  
High Sensitivity ◽  
Image Preprocessing ◽  
Long Wave ◽  
Preprocessing Technique ◽  
Long Wave Infrared

Testing technique of ultra-high sensitivity long-wave infrared camera

2018 ◽  
Vol 47 (5) ◽  
pp. 504001
Author(s):  
龙 亮 Long Liang ◽  
张丽莎 Zhang Lisha ◽  
吴立民 Wu Limin
Keyword(s):  
Infrared Camera ◽  
High Sensitivity ◽  
Testing Technique ◽  
Long Wave ◽  
Long Wave Infrared

Corners positioning for binocular ultra-wide angle long-wave infrared camera calibration

Optik ◽  
2020 ◽  
Vol 206 ◽  
pp. 163441
Author(s):  
Ziang Wang ◽  
Bingqi Liu ◽  
Fuyu Huang ◽  
Yichao Chen ◽  
Shuai Zhang ◽  
...  
Keyword(s):  
Camera Calibration ◽  
Infrared Camera ◽  
Wide Angle ◽  
Long Wave ◽  
Long Wave Infrared

Research on image preprocessing method of long-wave infrared polarization imaging

2021 ◽  
Author(s):  
Gaoxiang Lu ◽  
Xinyi Chen ◽  
Danqiu Qiao ◽  
Junchen Song ◽  
Zhiwei Zhang
Keyword(s):  
Polarization Imaging ◽  
Image Preprocessing ◽  
Long Wave ◽  
Preprocessing Method ◽  
Long Wave Infrared

scholarly journals Temperature Estimation Adaptive to Variables over Distance Using Infrared–LiDAR

2021 ◽  
Vol 11 (9) ◽  
pp. 4063
Author(s):  
Jongchan Kim ◽  
Sungho Kim
Keyword(s):  
Estimation Method ◽  
Infrared Camera ◽  
Mapping Function ◽  
Temperature Estimation ◽  
Distance Information ◽  
Long Wave ◽  
Accurate Temperature ◽  
Atmospheric Transmittance ◽  
Long Wave Infrared ◽  
Specific Distance

Measuring accurate surface temperature using a long-wave infrared camera and a non-contact thermometer, is very difficult due to variables such as atmospheric transmittance, emissivity, and influences from the environment such as atmosphere, sun, and dust. Conventional approaches use geometric correction or atmospheric transmittance modeling for temperature correction. However, these approaches have limitations in finding an accurate temperature because it is difficult to fully model a physical phenomenon. In this paper, a new temperature estimation method using distance information of LiDAR and digital count of long-wave infrared camera is proposed. The proposed method estimates the temperature by redefining the mapping function between radiation and digital count by distance. Using the proposed method, if the digital count is measured at a specific distance, accurate temperature can be estimated through the redefined Radiation-Digital count mapping function at a specific distance. The most important property of proposed method is that complex physical modeling is complemented by mapping function of specific distances. In addition, digital counts that change according to the distance at the same temperature required for the mapping function are obtained through linear interpolation using digital count of specific distances. Experimental results using a blackbody, long-wave infrared camera and LiDAR verify that the proposed method estimates the precise temperature. In addition, through experiments on humans, it shows the possibility of accurate body temperature measurement through fusion of long-wave infrared cameras and LiDAR in the future. However, as a limitation, a new calibration is required when the temperature and humidity of the atmosphere change.

New baffle design and analysis of long-wave infrared camera

Optik ◽  
2021 ◽  
pp. 166820
Author(s):  
Chen-chen Wang ◽  
Li-min Wei ◽  
Xiao Tian ◽  
Lei Zhang ◽  
Yuan Xie
Keyword(s):  
Infrared Camera ◽  
Long Wave ◽  
Long Wave Infrared

scholarly journals Determination of Temperature Distributions for the Sky Based on the Results of Measurement with an Infrared Camera

2021 ◽  
Vol 25 (3) ◽  
pp. 57-63
Author(s):  
Tadeusz Kruczek
Keyword(s):  
Ambient Temperature ◽  
Heat Loss ◽  
Radiation Heat Transfer ◽  
Ground Surface ◽  
Infrared Camera ◽  
Quality Parameters ◽  
Long Wave ◽  
Long Wave Infrared ◽  
Insulation Quality

The surroundings of objects in an open atmospheric space usually consist of a hypothetical surface of the sky and the surface of the ground. The aim of thermovision examination of objects located in open atmospheric space, especially buildings, is to determine the amount of heat loss or to assess the insulation quality parameters of walls, roofs and other building partitions. The tested surfaces, including elements of the outer shell of buildings, are often located at different angles to the ground surface and the sky. For the needs of thermovision testing of the considered objects and calculations concerning the radiation heat transfer, it is necessary to know the radiation parameters of the sky. These parameters include the equivalent radiative ambient temperature needed for thermovision measurements (including the temperature of the sky and the ground) and the overall radiative ambient temperature, which determines the heat loss by radiation from the tested surface. The article describes the method of determining the values of these temperatures on the basis of measuring the temperature of the sky with the use of a long-wave infrared camera and calculations. In order to verify the developed method, the results obtained with the use of the above-mentioned method were compared with the results obtained with the use of a pyrgeometer. The verification comprised the comparison of the heat flux of radiation from the sky, calculated on the basis of infrared camera measurements, with the energy flux emitted by the sky and measured with a pyrgeometer. The result of the verification is satisfactory.

Sign in / Sign up

Export Citation Format

Share Document