A Target Damage Information Extraction Method Based on GLCM Feature Vector
WANG Wei
CAI Cao
Abstract：A target damage information extraction method based on GLCM feature vector is proposed .Firstly ,the key positions of the target are extracted quickly by using the target knowledge template .After the early detection of the region with changes ,GLCM is used to extract texture features vector of the images taken before and after the attack .Then the re-gion with changes is extracted further by measuring the difference between the texture feature vectors which is based on ma-halanobis distance .Lastly ,the target damage information is extracted .Experimental results show that ,compared with the gray scale difference method and the single texture feature change detection method ,the proposed method can extract the tar-get damage information accurately and effectively .
Keywords：change detectionGLCMfeature vectordamage information
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1946-1950 )