SAR (Synthetic Aperture Radar) image target recognizing method based on nuclear scale tangent dimensionality reduction

• Main Authors: ZHOU SISI, ZHANG XIANGRONG, LI YANGYANG, GOU LIMIN, HOU BIAO, JIAO LICHENG, SHANG RONGHUA, WANG SHUANG, MA WENPING
• Format: Patent
• Language: Chinese; English
• Published: 23.05.2012
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; CALCULATING; COMPUTING; COUNTING; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; HANDLING RECORD CARRIERS; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; PRESENTATION OF DATA; RADIO DIRECTION-FINDING; RADIO NAVIGATION; RECOGNITION OF DATA; RECORD CARRIERS; TESTING

The invention discloses an SAR (Synthetic Aperture Radar) image target recognizing method based on nuclear scale tangent dimensionality reduction, which mainly solves the problem of low SAR image target recognizing rate of the traditional method. The method comprises the following steps of: preprocessing the selected image with the known class information and the image to be tested to acquire a training set and a testing set; mapping the training set to a higher dimensional space by the Gaussian kernel function, and respectively constructing an intra-class dissimilarity matrix and an extra-class dissimilarity matrix by using the mapped high dimensional feature as input, thereby acquiring a Laplacian matrix based on the nuclear scale tangent; carrying out feature decomposition on the matrix to acquire an optimal projection matrix; respectively projecting a training sample and a testing sample to a subspace formed by expansion of projection matrix vectors to acquire a new training set and a new testing set; and