Project Title:

The aim of this project is to design a new module for the firm's raster-based Image

07.04-9000
901482
The aim of this project is to design a new module for the firm's raster-based Image

Abstract:

Processing and Geographic Information System (GIS) software. The concept will be
used to enhance standard digital vector land-use maps using a knowledge-based expert
system that accesses available GIS data sources, such as satellite imaging, topographic
data, soil data, and hydrology. The focus will be on an interface to an existing
expert-system shell. The intention is to build on previous studies with rule-based
land-use classification. The knowledge-based module will query the user about the
rules decision, store and modify the decision rules, and write the macro needed to
decide the final land-use classification. The innovation of the program will be to
enhance today's image-processing techniques in cases where the land-use classification
will be determined by a polygon-specific, and not pixel-specific, classifier. The
module will rely on spatial rasters and auxiliary data to duplicate products now
produced by traditional airphoto interpretation. The classification rules will be
developed using the firm's raster-based GIS.
Classified satellite imagery may be put into a GIS database fast and with less reliance
on scientific understanding of spectral analysis. This innovation will significantly
reduce the time and effort spent putting land-use data into a digital database and
increase the analytic capability of GIS technology.