抄録
Land cover maps are made from satelite sensored data, utilizing the estimated reflection model on the earth. Since the accuracy of the land cover maps is about 60%, some calibration is needed. Science DCP is a project to be used for scientific validation data that visited the point where the terrestrial intersections of integer degrees of latitude and longitude. The purpose of this paper is the automation of land cover classification. We develop data of landscape images of 4211 points on global. We experimented image recognition using SVM and BoK. In this case, we found that subclass classification by k-means algorithm is effective.
