Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/25995
DC Field | Value | Language |
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dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Zhang, PL | - |
dc.creator | Shi, WZ | - |
dc.creator | Wu, XY | - |
dc.date.accessioned | 2015-07-13T10:33:53Z | - |
dc.date.available | 2015-07-13T10:33:53Z | - |
dc.identifier.issn | 1682-1750 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/25995 | - |
dc.description | ISPRS Technical Commission VIII Mid-Term Symposium 2014, India, 9-12 December 2014 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Copernicus GmbH | en_US |
dc.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. | en_US |
dc.rights | 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. | en_US |
dc.subject | Boundary integration | en_US |
dc.subject | Population distribution | en_US |
dc.subject | Remote sensing detection | en_US |
dc.subject | Urban boundary extraction | en_US |
dc.subject | Urban expansion | en_US |
dc.title | A merging approach for urban boundary correction acquired by remote sensing images | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 1011 | en_US |
dc.identifier.epage | 1015 | en_US |
dc.identifier.volume | 40 | en_US |
dc.identifier.issue | 8 | en_US |
dc.identifier.doi | 10.5194/isprsarchives-XL-8-1011-2014 | en_US |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | International archives of the photogrammetry, remote sensing and spatial information sciences, 2014, v. 40, no. 8, p. 1011-1015 | - |
dcterms.isPartOf | International archives of the photogrammetry, remote sensing and spatial information sciences | - |
dcterms.issued | 2014 | - |
dc.identifier.scopus | 2-s2.0-84924244737 | - |
dc.identifier.eissn | 2194-9034 | en_US |
dc.description.validate | 201811_a bcma | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
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Zhang_merging_approach_urban.pdf | 731.29 kB | Adobe PDF | View/Open |
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