PROCEEDINGS ARTICLE | February 21, 2014
Proc. SPIE. 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013
KEYWORDS: Image fusion, Infrared imaging, Visible radiation, Detection and tracking algorithms, Data modeling, Image registration, Motion detection, Infrared radiation, Motion models, Evolutionary algorithms
The research has been done on how to deal with the correspondences of sequential images, and the difficulties caused by multi-sensor. The paper proposes and realizes the registration methods addressing visible and infrared sequences, and the experiments show the validity and the accuracy of the proposed methods. At the first, the research on the sequence-to-sequence rough registration by their mass centers is studied. In the method, we represent the trajectory in the form of curves, and then use the curve-matching method to match the trajectories, and finally acquire the correspondence of the two sequences both in time and space. Then, compared to the rough matching methods above, an automatic visual–infrared image sequence accurate registration method based on Co-motion and the RANSAC algorithm with the RSCJ algorithm for higher efficiency are proposed.
