Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25995
Title: A merging approach for urban boundary correction acquired by remote sensing images
Authors: Zhang, PL
Shi, WZ 
Wu, XY
Keywords: Boundary integration
Population distribution
Remote sensing detection
Urban boundary extraction
Urban expansion
Issue Date: 2014
Publisher: Copernicus GmbH
Source: International archives of the photogrammetry, remote sensing and spatial information sciences, 2014, v. 40, no. 8, p. 1011-1015 How to cite?
Journal: International archives of the photogrammetry, remote sensing and spatial information sciences 
Abstract: Since reform and opening up to outside world, ever-growing economy and development of urbanization of China have caused expansion of the urban land scale. It's necessary to grasp the information about urban spatial form change, expansion situation and expanding regularity, in order to provide the scientific basis for urban management and planning. The traditional methods, like land supply cumulative method and remote sensing, to get the urban area, existed some defects. Their results always doesn't accord with the reality, and can't reflects the actual size of the urban area. Therefore, we propose a new method, making the best use of remote sensing, the population data, road data and other social economic statistic data. Because urban boundary not only expresses a geographical concept, also a social economic systems.It's inaccurate to describe urban area with only geographic areas. We firstly use remote sensing images, demographic data, road data and other data to produce urban boundary respectively. Then we choose the weight value for each boundary, and in terms of a certain model the ultimate boundary can be obtained by a series of calculations of previous boundaries. To verify the validity of this method, we design a set of experiments and obtained the preliminary results. The results have shown that this method can extract the urban area well and conforms with both the broad and narrow sense. Compared with the traditional methods, it's more real-time, objective and ornamental.
Description: ISPRS Technical Commission VIII Mid-Term Symposium 2014, India, 9-12 December 2014
URI: http://hdl.handle.net/10397/25995
ISSN: 1682-1750
EISSN: 2194-9034
DOI: 10.5194/isprsarchives-XL-8-1011-2014
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