Ruiming Liu, Erqi Liu, Jie Yang, Tianhao Zhang, Yuan Cao
Optical Engineering, Vol. 46, Issue 11, 110502, (November 2007) https://doi.org/10.1117/1.2802301
TOPICS: Target detection, Infrared imaging, Infrared detectors, Signal to noise ratio, Infrared radiation, Target recognition, Principal component analysis, Facial recognition systems, Pattern recognition, Receivers
A novel detection method for infrared (IR) point targets based on eigentargets is presented. The conception of eigentargets is proposed by making reference to eigenfaces in the field of face recognition. After creating the target training images using the Gaussian intensity function, we refine our method and obtain eigentargets that are a group of eigenvectors of the training set. These eigenvectors are then used to calculate the target map, defined by a target map function, at every location in the image to be detected. The large values in the target map image indicate the presence of targets. In comparison with other commonly used detection methods, our method has better performance with better receiver operating characteristics, and larger signal-to-noise ratio (SNR) and background suppression factor.