Urban Growth Simulation Using Remote Sensing Imagery and Neural Networks

@inproceedings{Alkheder2005UrbanGS,
  title={Urban Growth Simulation Using Remote Sensing Imagery and Neural Networks},
  author={Sharaf A Alkheder and Jie Shan Geomatics},
  year={2005}
}
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 the images to different land use categories. Seven classes were identified: water, road, residential, commercial, forest, pasture grasses and… CONTINUE READING

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