Abstract: National and regional infrastructure planning is founded on the use of many factors, of which population size can be argued to be the most fundamental. Population size is typically acquired through a census. However, manual census collection is an expensive and resource intensive process; especially in regions that are poorly connected. Computer-aided population estimation, when done accurately, therefore offers significant benefit. This paper presents a comprehensive framework for estimating the population size of a region of interest by applying classification techniques to terrain data. Central to the proposed framework is a novel histogram representation technique designed to support the generation of appropriate and effective classifiers central to the operation of the framework. The presented work uses the Karak region, in Jordan, as a case study for population size estimation. The proposed framework and the representation technique have been evaluated using a variety of classification mechanisms and parameter settings. The reported evaluation of the proposed representation technique demonstrates that good results can be obtained with regard to estimate the population size.

Subhieh El-Salhi, Safaa Al-Haj Saleh and Frans Coenen, “Census Estimation using Histogram Representation of 3D Surfaces: A Case Study Focusing on the Karak Region” International Journal of Advanced Computer Science and Applications(IJACSA), 11(10), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111087

@article{El-Salhi2020,
title = {Census Estimation using Histogram Representation of 3D Surfaces: A Case Study Focusing on the Karak Region},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111087},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111087},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {10},
author = {Subhieh El-Salhi and Safaa Al-Haj Saleh and Frans Coenen}
}