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 |
Issue Date: | 2014 | Source: | International archives of the photogrammetry, remote sensing and spatial information sciences, 2014, v. 40, no. 8, p. 1011-1015 | 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. | Keywords: | Boundary integration Population distribution Remote sensing detection Urban boundary extraction Urban expansion |
Publisher: | Copernicus GmbH | Journal: | International archives of the photogrammetry, remote sensing and spatial information sciences | ISSN: | 1682-1750 | EISSN: | 2194-9034 | DOI: | 10.5194/isprsarchives-XL-8-1011-2014 | Description: | ISPRS Technical Commission VIII Mid-Term Symposium 2014, India, 9-12 December 2014 | Rights: | © Author(s) 2014. This is an open access article distributed under the Creative Commons Attribution
3.0 License (https://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The following publication: Zhang, P. L., Shi, W. Z., and Wu, X. Y.: A Merging Approach for Urban Boundary Correction Acquired By Remote Sensing Images, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1011-1015 is available at https://doi.org/10.5194/isprsarchives-XL-8-1011-2014, 2014. |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Zhang_merging_approach_urban.pdf | 731.29 kB | Adobe PDF | View/Open |
Page views
141
Last Week
1
1
Last month
Citations as of Apr 21, 2024
Downloads
99
Citations as of Apr 21, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.