Abstract

The earth's surface and crust contain a lot of valuable information and we can gain deeper insight using remote sensing data methods. The technology based on remote sensing and geospatial methods continues to increase the amount of data collected. We need effective strategies for data mining and image data retrieval, along with efficient methods of image analysis with a high degree of extraction of information collected from remote sensing data. The methods used for analysis are semi-automatic, which are unable to extract the required information from the complex remote sensing data, yet. With the use of object-based multi-agent systems in remote sensing image analysis, we can extract valuable information without affecting the crucial data collected. This paper summarizes and presents the recent multi-agents based technology and outlines their potential.