An improved method of spectral unmixing and its application in water pollution monitoring

The spectral signature of a pixel in remotely sensed image in most cases is the result of the reflected spectral properties of mixed land cover types constituting the area of a pixel. This paper introduced an improved method of spectral unmixing of a remote sensing image and its application in water pollution monitoring and assessing. In this paper, a TM image of the Dianchi Lake received on October 4, 2001 was processed and analyzed. The method can not only give the abundance images of surface cover types constituting the area of a pixel, but also get the classification image. By the classification image, we can know the distribution of each type of water pollution in Dianchi Lake. Moreover, the factors affecting the classification product were discussed and some research aspects for the future were put forward.