Research of change detection using GIS auxiliary data and samples
Land use change detection is important in the study of the globalization in the world.The research of change detection using remote sensing images have made great progress.But the auto-detection method is still not practical because of the method of the image segment,the low degree of automation.This paper proposes a new method,which analyzes the images change in segments obtained from the GIS auxiliary data.The sample-auto-selection method and sample-auto-update method can reduce the human involvement.The experiment shows the effectiveness of the method.
Abstract This paper describes the philosophy, algorithms, and implementation of a computer simulation model for land use forecasting, and the capability of generating maps of these forecasts. The model is applicable to SMSA's organized on a census tract basis by counties. The forecasts are macro to the census tract level for industrial, residential, commercial and public land uses. Modeling is based on an economic data base of the region, and is extremely flexible for the user. An example set of forecasts and maps is included for illustrative purposes.