Research on multi-source image fusion technology in haze environment

GuoDong Ma; Yan Piao; Bing Li

doi:10.1117/12.2295089

15 November 2017 Research on multi-source image fusion technology in haze environment

GuoDong Ma, Yan Piao, Bing Li

Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 1060531 (2017) https://doi.org/10.1117/12.2295089
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China

Abstract

In the haze environment, the visible image collected by a single sensor can express the details of the shape, color and texture of the target very well, but because of the haze, the sharpness is low and some of the target subjects are lost; Because of the expression of thermal radiation and strong penetration ability, infrared image collected by a single sensor can clearly express the target subject, but it will lose detail information. Therefore, the multi-source image fusion method is proposed to exploit their respective advantages. Firstly, the improved Dark Channel Prior algorithm is used to preprocess the visible haze image. Secondly, the improved SURF algorithm is used to register the infrared image and the haze-free visible image. Finally, the weighted fusion algorithm based on information complementary is used to fuse the image. Experiments show that the proposed method can improve the clarity of the visible target and highlight the occluded infrared target for target recognition.

Citation Download Citation

GuoDong Ma, Yan Piao, and Bing Li "Research on multi-source image fusion technology in haze environment", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060531 (15 November 2017); https://doi.org/10.1117/12.2295089

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