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2009 WRI World Congress on Computer Science and Information Engineering
Point Target Detection with Linear Fishertarget
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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.
Index Terms:
target detection, Eigentarget, nonlinear Eigentarget, infrared, FLD
Citation:
Ruiming Liu, "Point Target Detection with Linear Fishertarget," csie, vol. 5, pp.271-273, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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