|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
2008 International Symposium on Computer Science and Computational Technology
Object-Oriented Raster-Based Data Model for Urban Growth Simulation System
December 20-December 22
ISBN: 978-0-7695-3498-5
| ASCII Text | x | ||
| Zijun Wang, Shengbo Chen, Lingjun Zhao, "Object-Oriented Raster-Based Data Model for Urban Growth Simulation System," Computer Science and Computational Technology, International Symposium on, vol. 1, pp. 747-751, 2008 International Symposium on Computer Science and Computational Technology, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/ISCSCT.2008.50, author = {Zijun Wang and Shengbo Chen and Lingjun Zhao}, title = {Object-Oriented Raster-Based Data Model for Urban Growth Simulation System}, journal ={Computer Science and Computational Technology, International Symposium on}, volume = {1}, year = {2008}, isbn = {978-0-7695-3498-5}, pages = {747-751}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISCSCT.2008.50}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Science and Computational Technology, International Symposium on TI - Object-Oriented Raster-Based Data Model for Urban Growth Simulation System SN - 978-0-7695-3498-5 SP747 EP751 A1 - Zijun Wang, A1 - Shengbo Chen, A1 - Lingjun Zhao, PY - 2008 KW - urban growth KW - raster KW - vector KW - object-oriented KW - base class KW - gray model (GM) KW - Landsat TM VL - 1 JA - Computer Science and Computational Technology, International Symposium on ER - | |||
The growth of urban areas into forested and agricultural lands is a local and global planning issue of great concern. The proposed model is hence based on the raster data model. The raster-based GM is implemented using object-oriented Microsoft Visual C++ programming under the Microsoft Windows environment. To satisfy more analysis methods expended for this system, such as CA and neural network models, a virtual base class (CPredictModel) is defined for their united interfaces. The vector data are integrated into the raster-based GM method by the vector-to-raster conversions. To validate the raster-based data model, time series of raster data are generated from Landsat TM for the Jilin City, China, in 1987, 1996, and 2000. The changes between any two dates can be analyzed efficiently, and the growth trends of Jilin City in the future are evaluated successfully by the presented raster-based data model.
Index Terms:
urban growth, raster, vector, object-oriented, base class, gray model (GM), Landsat TM
Citation:
Zijun Wang, Shengbo Chen, Lingjun Zhao, "Object-Oriented Raster-Based Data Model for Urban Growth Simulation System," iscsct, vol. 1, pp.747-751, 2008 International Symposium on Computer Science and Computational Technology, 2008
Usage of this product signifies your acceptance of the Terms of Use.