Comparative analysis on SIFT features in visible and infrared aerial imaging
by Xiaodong Li; Nabil Aouf; Mark Richardson
International Journal of Applied Pattern Recognition (IJAPR), Vol. 1, No. 3, 2014

Abstract: This paper addresses an in-depth analysis on the features extracted from both visual and infrared images in characterising natural environments for vision-based airborne navigation problems, in particular, the performance of feature extraction algorithms and matching when variant SIFT feature detection and matching techniques were utilised successfully. The application of both feature extraction and matching methods on various characteristic aerial images were investigated based on the performance metrics including processing time, number of matched features and matching rates without/with RANSAC outlier rejection applied, etc., and relevant discussion and conclusion were given.

Online publication date: Sat, 29-Nov-2014

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