Remote sensing images contain a lot of mixed image pixels

but it is difficult to classify these pixels.If the number of pixel’s endmember is regarded as unchangeable

the traditional pixel unmixing algorithm cannot get a good result.In this paper we develop a new method of selective endmembers for pixel unmixing based on the fuzzy ARTMAP neural network

which firstly compares the pixel’s spectral to the conference one and then gets the number of endmember.When it is taken into account

we use an ARTMAP neural network to extract subpixel information.Finally

the experimental results show that the selective endmember algorithm has been improved over conventional ANN algorithms and conventional linear algorithms.