Geometric Correction of Thermal Infrared Remote Sensing Image Assisted by High-Resolution Data

XU Kaiqiu; GONG Yan; FANG Shenghui; WANG Taoyang

doi:10.13203/j.whugis20180089

Volume 45 Issue 3

Mar. 2020

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Geomatics and Information Science of Wuhan University > 2020 > 45(3): 426-431. > DOI: 10.13203/j.whugis20180089

XU Kaiqiu, GONG Yan, FANG Shenghui, WANG Taoyang. Geometric Correction of Thermal Infrared Remote Sensing Image Assisted by High-Resolution Data[J]. Geomatics and Information Science of Wuhan University, 2020, 45(3): 426-431. DOI: 10.13203/j.whugis20180089

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Geometric Correction of Thermal Infrared Remote Sensing Image Assisted by High-Resolution Data

1.
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2.
Hubei High Resolution to the Earth Observation System of Data and Application Center, Wuhan 430079, China

Funds:

The National Natural Science Foundation of China 41771381

The National Natural Science Foundation of China 41501503

the National High Technology Research and Development Program of China 2013AA102401

More Information

Author Bio:
XU Kaiqiu, postgraduate, specializes in high resolution image analysis. E-mail: kqxu@whu.edu.cn
Corresponding author:
GONG Yan, PhD, professor. E-mail: gongyan@whu.edu.cn
Received Date: August 19, 2018
Published Date: March 04, 2020

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Abstract

Abstract

With the development of thermal infrared remote sensing technology, the thermal infrared remote sensing image has an extremely vital significance in land surface temperature inversion, forest fire monitoring, mineral detection and other field, and in these applications, the geometric correction is an important basic technology. We use the advantage of the high-resolution satellite, study the differences and correlation of different remote sensing sensors, and introduce a method of combining simulation images with feature matching. The method based on high resolution optical image, according to the radiation transfer equations of thermal infrared, it use the ground radiation data to simulate the thermal infrared image. Then we can use the simulation image to assist the geometric correction of the thermal infrared image. After simulate the image, we use the scale invariant feature transform(SIFT) feature detection algorithm to find the homonymous points, and then finish the geometric correction of thermal infrared image. Experiment results show that this method makes the geometric correction of thermal infrared remote sensing image with high precision.
- thermal infrared image,
- geometric correction,
- simulation image,
- scale invariant feature transform (SIFT)

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References (19)

References

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