According to the characteristics of high resolution remote sensing spectral images, a classification algorithm with texture and spectral information is described. Traditional local binary patterns variance (LBPV) is improved to apply in land-cover classification of high resolution images. The results show that LBPV has better spatial continuity and higher classification accuracy.