A Method of Aerial Multi-Modal Image Registration for a Low-Visibility Approach Based on Virtual Reality Fusion

Aiming at the approach and landing of an aircraft under low visibility, this paper studies the use of an infrared heat-transfer imaging camera and visible-light camera to obtain dynamic hyperspectral images of flight approach scenes from the perspective of enhancing pilot vision. Aiming at the problems of affine deformation, difficulty in extracting similar geometric features, thermal shadows, light shadows, and other issues in heterogenous infrared and visible-light image registration, a multi-modal image registration method based on RoI driving in a virtual scene, RoI feature extraction, and virtual-reality-fusion-based contour angle orientation is proposed, and this could reduce the area to be registered, reduces the amount of computation, and improves the real-time registration accuracy. Aiming at the differences in multi-modal image fusion in terms of resolution, contrast, color channel, color information strength, and other aspects, the contour angle orientation maintains the geometric deformation of multi-source images well, and the virtual reality fusion technology effectively deletes incorrectly matched point pairs. By integrating redundant information and complementary information from multi-modal images, the visual perception abilities of pilots during the approach process are enhanced as a whole.