Potential of IKONOS images for updating land-use base map of China through data fusion and integration

摘要

The aim of this study was to develop and test a simple and efficient data fusion and integration procedure for updating land-use base map in China with high spatial resolution (1-4m) IKONOS images. The data fusion and integration procedure was divided three stages: (1) using image merger method to generate hybrid 1m spatial resolution multi-spectral IKONOS images to enhance further image analysis. Compared with IHS (Intensity-hue-saturation), PCS (Principal component substitution), Brovey transform and Wavelets transform, SVR (Synthetic variable ratio) merging method was the best method and used based on the merging results. (2) Integration of spectral, textural feature and land-use type of former base map basing on rule-classifier to detect possible land-use change. (3) Under the GIS (Geographic information system) environments, the possible change areas were checked by visual interpretation to ascertain the change and land use type through screen overlay of images and land-use base map. The procedures were tested in Liangxiang town, the suburb of Beijing city using IKONOS images of the May 9th, 2001 in 2002. The IKONOS images can satisfied the updating land-use base map of China according the pilot results of the geometric position accuracy, types accuracy and areas accuracy of change regions.