Apparent Temperature Patterns Superposed on Thermal Infrared Images and Their Removal

1996 ◽  
Vol 8 (2) ◽  
pp. 136-143
Author(s):  
Minoru Inamura ◽  

A thermal infrared image is a visualized image of the thermal energy radiated from an object. Thermal radiation energy is dependent on the absolute temperature and the effective emissivity of an object, so that a thermal infrared image does not give the temperature distribution of an object but, rather, is a superimposed image of, so to speak, the temperature pattern and the emissivity pattern. In other words, a emissivity pattern is an apparent temperature pattern superimposed on a true temperature pattern. However, this paper points out that a thermal infrared image obtained with a sensor having an instantaneously large field of view, like a remotely sensed image, has additionally a third pattern due to the size of the field of view superimposed and that this appears as an apparent temperature change on the thermal infrared image. Moreover, the paper stresses the fact that in order to obtain correct information on temperature, it is necessary to remove these patterns and, at the same time, points out that these can be removed if effective use is made of visible, multispectral images.

2021 ◽  
Vol 13 (9) ◽  
pp. 1852
Author(s):  
Yiren Wang ◽  
Dong Liu ◽  
Wanyi Xie ◽  
Ming Yang ◽  
Zhenyu Gao ◽  
...  

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.


Author(s):  
Jianheng Huang ◽  
Yaohu Lei ◽  
Xin Liu ◽  
Jinchuan Guo ◽  
Ji Li ◽  
...  

ACS Photonics ◽  
2021 ◽  
Author(s):  
Anders Kokkvoll Engdahl ◽  
Stefan Belle ◽  
Tung-Cheng Wang ◽  
Ralf Hellmann ◽  
Thomas Huser ◽  
...  

Author(s):  
Kornél Kapás ◽  
Tamás Bozóki ◽  
Gergely Dálya ◽  
János Takátsy ◽  
László Mészáros ◽  
...  

Measurement ◽  
2015 ◽  
Vol 64 ◽  
pp. 1-16 ◽  
Author(s):  
Zhen Liu ◽  
Fengjiao Li ◽  
Xiaojing Li ◽  
Guangjun Zhang

2012 ◽  
Vol 45 (12) ◽  
pp. 4138-4150 ◽  
Author(s):  
Thomas Weibel ◽  
Christian Daul ◽  
Didier Wolf ◽  
Ronald Rösch ◽  
François Guillemin

2007 ◽  
Author(s):  
Sining Li ◽  
Jinbo Liu ◽  
Qian Wang ◽  
Qi Wang
Keyword(s):  

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