Target location is a fundamental application in aerial image process. In this work, a fast normalized cross correlation algorithm is proposed for the application of target location in aerial image. Firstly, normalized cross correlation has been proved equivalent to Euclidean distance. In the search step, the target template and the corresponding window of base image are projected to a set of mutually orthonormal vectors for calculating the lower bound of the distance, where the windows with too large distance relative to the target template will be rejected in this step. Finally, the directly normalized cross correlation calculating is applied to the rest windows of base image to achieve the final correct location of target. The experimental results show that compared with traditional method, the proposed method significantly improved the computational complexity without sacrificing the spatial resolution or the accuracy of the match result.
Target location in aerial image by fast NCC
Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013 ; 2013 ; SuZhou,China
Proc. SPIE ; 9142
2014-02-21
Conference paper
Electronic Resource
English
Target location in aerial image by fast NCC [9142-41]
British Library Conference Proceedings | 2014
|ICAS2014_0885: EMERGENCY LANDING SITE LOCATION USING AERIAL IMAGE SEGMENTATION
British Library Conference Proceedings | 2014
|High Accuracy Ground Target Geo-location Using Autonomous Micro Aerial Vehicle Platforms
British Library Conference Proceedings | 2008
|A fast aerial image de-haze algorithm
Online Contents | 2013
|