RESEDA: A knowledge-based advisory system for remote sensing

摘要

This article describes the design and implementation of RESEDA (RemoteSensorDataAnalysis), a knowledge-based system for the extraction of environmental information from digital raster images of the earth. The images may have been obtained from airborne or spaceborne sensors. Ancillary data is used to improve the results of the image analysis; in particular, we are using digital map data stored in a geographic information system for this purpose. The main goal of the system is to provide easy access to remote sensing technology for non-expert users, such as decision makers in environmental management.