INTELLIGENT IMAGERY SYSTEM: A PROPOSED APPROACH

Abstract

Integrating remote sensing raster imagery with corresponding existing vector data is an essential requirement for efficiently handling and monitoring the surface of the earth. Two main approaches exist for integrating the two data types. One wellresearched approach is to process the remote sensing imagery within an Image Processing System (IPS), and the information extracted might be digitized and input to a GIS. GIS data also might be used to better extract information from remote sensing imagery. Another approach is to use the remote sensing imagery as a backdrop for the vector map for the purpose of map updating and/or better visualization. A new Intelligent Imagery system proposed in this paper suggests a different approach to integrating the richness of imagery with the attribute knowledge embedded in previously-interpreted vector data. While other approaches stack vector data layers on top of the imagery, this approach keeps the corresponding vector data hidden and utilize them internally until results need to be displayed. This approach is based on using remote sensing imagery, supported by hidden vector data and the associated attributes stored in a GIS, as an interactive medium with the real world. Through this medium, the user can issue a cursor specific query, display a Data Base Management System (DBMS) query results directly on the image, issue a query based on a delineated polygon of any shape in the image, and perform any spatial analysis task based on the complete, current, and reliable view of the remote sensing imagery. This method will eliminate the need for simultaneous display of vector and raster data or for vector/raster overlays/conversion that might lead to a loss of accuracy, confusion or hide important spatial patterns that could affect the final decision criteria. This paper will present the components of this new research, and outline its proposed benefits and limitations

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