Infrared image target recognition based on multiple matching methods

Dan Chen; Wei-hua Han; Yu-quan Li; Chun-yan Fan

doi:10.1117/12.2605860

15 September 2021 Infrared image target recognition based on multiple matching methods

Dan Chen, Wei-hua Han, Yu-quan Li, Chun-yan Fan

Proceedings Volume 11915, International Conference on Optics and Image Processing (ICOIP 2021); 119150G (2021) https://doi.org/10.1117/12.2605860
Event: International Conference on Optics and Image Processing (ICOIP 2021), 2021, Guilin, China

Abstract

Precision guided weapons are the main means of physical destruction in information warfare, and are the key to winning future wars. Infrared target recognition is an important factor affecting its accuracy. Because the imaging mechanism of infrared image and visible light image is different, there is a big difference between the two in the gray level and edge information of the corresponding area. This paper proposes a fusion of gray matching and feature matching algorithms to enhance the reliability of the results. Experiments have proved that by fusing the results of grayscale matching and feature matching, the grayscale information and feature characteristics of the image can be fully utilized to correct the mismatch phenomenon in infrared image target recognition. Compared with traditional single gray level matching or feature matching, it has more accurate matching results, and has certain application value for typical target matching and recognition.

Citation Download Citation

Dan Chen, Wei-hua Han, Yu-quan Li, and Chun-yan Fan "Infrared image target recognition based on multiple matching methods", Proc. SPIE 11915, International Conference on Optics and Image Processing (ICOIP 2021), 119150G (15 September 2021); https://doi.org/10.1117/12.2605860

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