Independent component analysis based band selection of multispectral remote sensing image

The band selection of multispectral remote sensing image is a key issue and hot topic in remote sensing image processing domain. Considering that the band selection results of methods are usually not satisfying, a novel remote sensing image band selection method based on independent component analysis is proposed in this paper. The proposed method determine the number of independent components according to “Virtual dimension”, and then sort independent components, and select the top-ranking bands as important independent components. After that, sort the bands band by the contribution rate to important independent components, and finally we get the band combination results after remove the bands correlation. Statistical and visual results show that, the new proposed method can select the effectively and efficiently enhance the rock and soil information.