Urban Growth Simulation Using Remote Sensing Imagery and Neural Networks

Abstract

This paper presents a methodology for simulating urban growth phenomenon through utilizing remote sensing imagery and neural network (NN) algorithms. Historical satellite images of Indianapolis city, IN were used. All images were rectified and registered to Universal Transverse Mercator (UTM) NAD83 zone 16N. Supervised classification was used to classify… (More)

Topics

17 Figures and Tables

Cite this paper

@inproceedings{Alkheder2005UrbanGS, title={Urban Growth Simulation Using Remote Sensing Imagery and Neural Networks}, author={Sharaf A Alkheder}, year={2005} }