Author(s)

Hang Chen ^1,2, Camel Tanougast ³, Walter Blondel ², Feifei Liu ¹

Affiliation(s)

¹ School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, 341000, China
² Université de Lorraine, CNRS, CRAN UMR 7039, Nancy 54000, France
³ Laboratoire Conception Optimisation et Modélisation des Systèms, University de Lorraine, Metz 57070, France

Corresponding Author

Feifei Liu

ABSTRACT

With the continuous development of thermal infrared remote sensing technology, thermal infrared remote sensing image is widely used in land surface temperature inversion, forest fire monitoring, mineral detection and so on. In these applications, geometric correction of thermal infrared image is an important basic technology. Taking advantage of the high spatial resolution of gf-2 satellite, a method combining simulated image and feature matching is proposed by analyzing the imaging difference and correlation of heterogeneous loads. This method is based on high-resolution optical image, and based on the ground radiation basic data, first of all, from the perspective of thermal infrared radiation, the transition image is formed, which is used to assist the geometric correction of thermal infrared image; then, the scale invariant feature transformation operator is used to detect the feature points, so as to obtain the same points and improve the geometric correction accuracy of thermal infrared image.

KEYWORDS

Thermal infrared image; Geometric correction; Simulation image; Scale invariant feature transformation

CITE THIS PAPER

Hang Chen Camel Tanougast Walter Blondel and Feifei Liu, Research on vignetting correction method of thermal infrared remote sensing image assisted by high resolution data. Journal of Multimedia Techniques (2020) Vol. 1: 1-12. DOI: http://dx.doi.org/10.23977/jmult.2020.010101.

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