Automatic target recognition algorithm based on correlation of infrared multispectral imagery

A new automatic target recognition algorithm based on infrared multispectral imagery correlation was presented. According to infrared multispectral characteristic information (such as radiation intensity and spectral distribution) of targets, background and decoys, an infrared multispectral eigenmatrix of scenario was constructed. An infrared multispectral eigenmatrix of interesting targets was reconstructed after segmenting image by maximum-error-method and fusing target information of space and spectrum. An infrared multispectral imagery correlation recognition method was formulated in terms of spectral radiation difference of interesting targets. Digital simulation experimental results verify that the algorithm is proper and feasible.