This article concerns methods of improving the accuracy of land cover maps using Very High-resolution Satellites (VHRS).It
discusses two methods for increasing the accuracy of classifiers used in land cover mapping. One is texture analysis using
GLCM method and the other is multiple classifier system (MCSs) using voting rules. A case study of QuickBird Imagery of an
area in Chenggong County of Yunnan Province is conducted based on an analysis of QuickBird imagery. The experiment results
show that these two methods can improve the accuracy greatly. The applying of texture bands makes an increase of 2.6816%,
and the MCSs make an increase of 3.9512%.
Keywords multiple classifier system (MCSs) - co-occurrence probability - texture analysis - land-cover classification