Multistage decision fusing and classifying method for hyperspectrum and infrared data

The invention discloses a multistage decision fusing and classifying method for hyperspectrum and infrared data. The multistage decision fusing and classifying method comprises the following steps of: firstly, carrying out noise suppression processing and spatial adjustment on the hyperspectrum and infrared data; secondly, establishing a hyperspectrum and infrared data combined characteristic space according to the characteristics of the hyperspectrum and infrared data; thirdly, monitoring and classifying the combined characteristic space established in the second step to obtain a ground object classification decision according to the ground object categories to be classified and a training sample; fourthly, determining ground object classes required to be subjected to small-object strengthening decision extraction according to the object size and carrying out small-object strengthening decision extraction by using the combined characteristic space established in the second step; fifthly, carrying out end member extraction and abundance estimation on hyperspectrum data subjected to noise suppression in the first step to obtain an abundance decision; and sixthly, designing a fusingrule and fusing the classification decision acquired in the third step, the small-object strengthening decision acquired in the fourth step and the abundance decision acquired in the fifth step to obtain a fusion and classifying result.