TARGET RECOGNITION METHOD BASED ON COMPRESSED SENSING

摘要

A target recognition method based on compressed sensing, comprising the steps of: acquiring standard sample images of at least two types of targets (S1); obtaining feature elements of the types of targets by using a feature element extraction method (S2); arranging the feature elements of each type of target diagonally into a dictionary of each type of target, and arranging the dictionaries of the types of targets in parallel into a comprehensive dictionary (S3); performing compressed sampling on an original image to be recognized by using a measurement matrix to obtain a compressed sampled signal (S4); and calculating a sparse coefficient of the original image to be recognized by means of reconstruction in combination with the comprehensive dictionary, the measurement matrix, and the sampled signal (S5); processing the sparse coefficient to obtain a coefficient graph, and recognizing the types of targets in the original image according to the coefficient graph (S6); and multiplying the sparse coefficient by the comprehensive dictionary to obtain an acquired reconstructed image (S7). The target recognition method can increase the speed of target recognition in the image and realize multi-target recognition.