The chronology of GIS image processing: a case study for land changes at Nusajaya, Iskandar Malaysia
Abstract:
In the last few years, land demands in Iskandar Malaysia become important issues for stakeholders and
town planners. Our study case area is at Nusajaya, Iskandar Malaysia. The motivation and the goal of this
paper is to investigate four mathematical modelling in image processing integrate with GIS such as CAGIS integration, ANN-GIS integration, neural network based cellular automata-GIS and GAC-AOS
model. Geographic Information Systems (GISs) is the combination of cartography, statistical analysis and
computer science technology. The general GIS have its limitation in modelling changes in the landscape
overtime. Integration GIS with CA and ANN, will overcome the drawbacks of GIS. Geodesic Active
Contour (GAC) model are used to detect the edges of Nusajaya images. Thus some classical numerical
methods (Gauss-Seidel and Jacobi method) are used to solve the system linear of equations and the
experimental results demonstrate that the Gauss- Seidel (GS) method gives the best performance
compared to Jacobi (JB) method.