SAR Image Recognition Based on Wavelet Domain 2DPCA Feature Extraction Algorithm
Abstract：This paper presents a new method for synthetic aperture radar images feature extraction and target recognition which based on two-dimensional PCA in wavelet domain and support vector machine.After two-dimension wavelet decomposition of a SAR image,feature extraction is implemented by picking up two-dimensional principal component of the low-frequency sub-band image.Then,support vector machine is used to perform target recognition.Using MSTAR SAR data to experiment,results are presented to verify that:correctness of recognition is enhanced obviously.
Keywords：SARtwo-dimension wavelet transformkernel PCAsupport vector machineATR
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 37-39,76 )