Application of fuzzy reasoning to estimation of class mixture proportion of mixed pixel on remote sensing images

The paper describes a fuzzy estimation method for the class mixture proportion of the mixed pixel (mixel). The training data are selected by the operator based on the subjectivity and it´s distribution is defined as a fuzzy set on a spectral space. It is also assumed that the spectral characteristics of the mixel are regarded as a linear function of the reflection level from each distribution of the pure pixel corresponding the component classes. A fuzzy production rule for the estimation of the class mixture proportion of the mixel is defined in accordance with the above assumption. The estimation of the class mixture proportion for the fuzzy estimation method is carried out with simplification fuzzy reasoning