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Proceedings Paper

Research on multi-source image fusion technology in haze environment
Author(s): GuoDong Ma; Yan Piao; Bing Li
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Paper 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.

Paper Details

Date Published: 15 November 2017
PDF: 13 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060531 (15 November 2017); doi: 10.1117/12.2295089
Show Author Affiliations
GuoDong Ma, Changchun Univ. of Science and Technology (China)
Yan Piao, Changchun Univ. of Science and Technology (China)
Bing Li, Jilin Institute of Science and Technology Information (China)

Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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