The Generating Super Resolution of Thermal Image based on Deep
Learning
Dublin Core
Title
The Generating Super Resolution of Thermal Image based on Deep
Learning
Learning
Subject
Super resolution, thermal image, deep learning
Description
The need of high resolution to thermal image is very urgent and important. The high resolution of thermal image is able to give
the accurate information on heat distribution map of the objects. The accurate heat distribution maps is able to give accurate
temperature information. This accurate temperature measurement is used for measuring many objects such as electric motors,
engines, human body and so on. These information used for detecting the anomalies of the object in order to find the damaged
parts. The anomalies are considered as damaged parts find in solar panel, agriculture field, the building, bridges and so on.
As the super resolution of thermal image is very important, that the generating of them is a compulsory. Whereas, the camera
for obtaining the super resolution thermal images are very rare, not available at common market. Furthermore, this kind of
device is very expensive too. Therefore not all the user such farmer or technician are able to have them. In order to handle the
problem, the proposed method has the purpose to generate super resolution thermal image economically and easier through
deep learning method. The dataset is taken from solar panel. The results show that the proposed method is able to handle the
low resolution problem of thermal images.
the accurate information on heat distribution map of the objects. The accurate heat distribution maps is able to give accurate
temperature information. This accurate temperature measurement is used for measuring many objects such as electric motors,
engines, human body and so on. These information used for detecting the anomalies of the object in order to find the damaged
parts. The anomalies are considered as damaged parts find in solar panel, agriculture field, the building, bridges and so on.
As the super resolution of thermal image is very important, that the generating of them is a compulsory. Whereas, the camera
for obtaining the super resolution thermal images are very rare, not available at common market. Furthermore, this kind of
device is very expensive too. Therefore not all the user such farmer or technician are able to have them. In order to handle the
problem, the proposed method has the purpose to generate super resolution thermal image economically and easier through
deep learning method. The dataset is taken from solar panel. The results show that the proposed method is able to handle the
low resolution problem of thermal images.
Creator
Ismail1
, Yefriadi2
, Yuhefizar3
, Fibriyanti4
, Zulka Hendri5
, Yefriadi2
, Yuhefizar3
, Fibriyanti4
, Zulka Hendri5
Publisher
Politeknik Negeri Padang
Contributor
29-04-2022
Format
PDF
Language
Indonesia
Type
Text
Files
Collection
Citation
Ismail1
, Yefriadi2
, Yuhefizar3
, Fibriyanti4
, Zulka Hendri5, “The Generating Super Resolution of Thermal Image based on Deep
Learning,” Repository Horizon University Indonesia, accessed June 6, 2025, https://repository.horizon.ac.id/items/show/9155.
Learning,” Repository Horizon University Indonesia, accessed June 6, 2025, https://repository.horizon.ac.id/items/show/9155.