A knowledge-based system for the automatic interpretation of aerial images of suburban
scenes is described. Design considerations, the system architecture, and the procedure of …

This paper discusses roles of artificial intelligence in the automatic interpretation of remotely
sensed imagery. We first discuss several image understanding systems for analyzing …

Because of the increasing amount of remotely sensed imagery there is a growing need for
efficient data analysis techniques. Here to automate the image interpretation a knowledge …

The increasing amount of temotely sensed imagery-requires efficient analysis techniques.
The leading idea of the. preiinted work is to automate the interpretation of aerial images bv …

New digital systems for the processing of photogrammetric and remote sensing images have
led to new approaches to information extraction for mapping and Geographic Information …

An experimental vision system for remote sensing land use/cover change detection is
presented. The system was designed to monitor the processes of urban development. The …

The paper focuses mainly on extraction of important topographic objects, like buildings and
roads, that have received much attention the last decade. As main input data, aerial imagery …

It has long been a dream to realize machines with flexible visual perception capability.
Research on digital image processing by computers was initiated about 30 years ago, and …

The interpretation of aerial imagery requires substantial knowledge about the scene under
consideration. Knowledge about the type of scene-airport, suburban housing development …

The interpretation of aerial photographs requires a lot of knowledge about the scene under
consideration. Knowledge about the type of scene: airport, suburban housing development …