SEMI-AUTOMATIC DETECTION OF LAND USE CHANGE FROM DIGITAL AERIAL PHOTOS

摘要

It is necessary for map revision work to find out land use changed areas from aerial photos. Several attempts utilizing computer processing of digital aerial photo images have been made and examined aiming at increasing efficiency of change detection. Among them, three methods and their results are reported in the paper. One is to compare old and new DEMs derived from automated stereo matching. It was possible to detect new construction of houses. But further study is required to apply the method to various change patterns. Another method is to pick up roads by color classification of color aerial photos. By comparing the results of road extraction, new roads could be visualized. The third method is to use existing digital map data to mask out unnecessary area from aerial photo image and thus to enhance the efficiency of manual change detection. Some increase of efficiency was observed but with the slight increase of omissions of detection. Further elaboration is required for practical application of these methods. It is considered that combination of multiple data sources together with effective combination of multiple methods is necessary for improvement.