Volume XL-8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1011-1015, 2014
https://doi.org/10.5194/isprsarchives-XL-8-1011-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1011-1015, 2014
https://doi.org/10.5194/isprsarchives-XL-8-1011-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  28 Nov 2014

28 Nov 2014

A Merging Approach for Urban Boundary Correction Acquired By Remote Sensing Images

P. L. Zhang1, W. Z. Shi2, and X. Y. Wu1 P. L. Zhang et al.
  • 1School of Remote Sensing and Information Engineering, Wuhan University, China
  • 2Joint Spatial Information Research Laboratory, The Hong Kong Polytechnic University and Wuhan University, China

Keywords: Urban expansion, urban boundary extraction, remote sensing detection, population distribution, boundary integration

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.