Environmental Change Detection and Visualization by Differential Computing for Satellite Images with 5D World Map System

Abstract

This paper presents a differential computing system for satellite images called SIDE, which automatically extracts areas, boundaries and lines on earth from any type of general images using image processing technology. Unlike other general GIS software, SIDE can process any type of images without geo information (lat, long) as input and convert to geo information with template. The feature of SIDE is that it enables users to extract the differences between images using color information of areas on earth such as forest, ice, ocean, river, soil and desert, and compare the differences in time-series analysis. Also, SIDE provides a function to modify the position, size and angle of detected area, border and lines, and adjust the positions to geo information to overlap output images onto the base-map such as Google Maps or ArcGIS maps. By using this system with a multimedia sharing system called 5D World Map System, users can analyze the impacts of environmental change to the other phenomena by global viewpoints with other related multimedia