Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.379
Linear Fishertarget based on Fisher linear discriminant (FLD) is presented in this paper. If an image is regarded as a data set including two-class data, target data and background data, the target detection problem can be transferred into a classification problem. To detect targets from background is to classify target data from image data. FLD can maximize the ratio of between-class scatter to that of within-class scatter. It can get the better performance than classical detection methods.
target detection, Eigentarget, nonlinear Eigentarget, infrared, FLD
Ruiming Liu, "Point Target Detection with Linear Fishertarget", Computer Science and Information Engineering, World Congress on, vol. 05, no. , pp. 271-273, 2009, doi:10.1109/CSIE.2009.379