Feature Extraction Algorithm for UAV Infrared Image Mosaic
Yi Le · 2014
Since the infrared images acquired by UAV have the characteristics of low contrast, large geometric distortion, big inclination and noise, the UAV infrared image mosaic is quite difficult. Firstly, the feature matching experiments of UAV infrared image were done by using the three scale-invariant feature detection operators of SIFT, SURF and Cen Sur E respectively. The experiments verified that the Cen Sur E operator had advantages in the infrared image feature extraction. Finally, the image mosaic process was designed based on the Cen Sur E operator.The image mosaic experiments were done by using the five UAV infrared images in a flight strip and the satisfactory image mosaic results were achieved.