SAR image classification method based on SVM classifier of mixed nucleus function

The invention discloses an SAR image classification method for an SVM classifier by using a hybrid kernel function based on wavelet properties, belonging to the technical field of image processing and mainly solving the problem that effectiveness in image characteristic extraction is not sufficient....

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Bibliographic Details
Main Authors ZHOU WEIDA, JIAO LICHENG, DIAO DANDAN, GONG MAOGUO, ZHANG LI, WANG XIAODONG, MA WENPING
Format Patent
LanguageChinese
English
Published 07.03.2012
Subjects
CALCULATING
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:The invention discloses an SAR image classification method for an SVM classifier by using a hybrid kernel function based on wavelet properties, belonging to the technical field of image processing and mainly solving the problem that effectiveness in image characteristic extraction is not sufficient. The method comprises the following steps: firstly, imputing training and testing sample images, and normalizing and marking the sample images; secondly, decomposing the normalized sample images, respectively extracting a plurality of characteristics from various decomposed sub-zones, and storing the characteristics in terms of a structural body of T1 x r; thirdly, according to the characteristics of the sub-zones, constructing the hybrid kernel function based on wavelet properties for the SVM classifier (see the formula on the lower right side, wherein, in the formula, Xi and Xj respectively indicate an ith sample image and a jth sample image, i and j are both less than or equal to 1, xik and xjk respectively indi
Bibliography:Application Number: CN20081232209