Study on remote sensing classification of land-use based on FNEA & D-S

In this paper a new method of RS land-use classification was proposed based on FNEA and D-S theory. RS image was segmented to sub-objects in the method of FNEA, and a frame of discernment was established according of the Nation Land-use Classification. Evidence, the core of the frame, was extracted from the data special and spectral characters of sub-objects in Multi-source. BPA was calculated to establish a decision-making rule, which was used to classify the sub-objects. An example of classifying land-use with SPOT-5 and RADARSAT-2 data was carried out. Test result shows that the method improved the accuracy of RS image classification with higher application value.