Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 877-883, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-877-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 877-883, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-877-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

AUTOMATIC EXTRACTION OF URBAN BUILT-UP AREA BASED ON OBJECT-ORIENTED METHOD AND REMOTE SENSING DATA

L. Li1, H. Zhou2,1, Q. Wen1, T. Chen1, F. Guan1, B. Ren1, H. Yu1, and Z. Wang3 L. Li et al.
  • 1Twenty-first Century Space Technology Application Co., Ltd, Beijing, China
  • 2State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China
  • 3Beijing Engineering Research Center of Small Satellite Remote Sensing Information, Beijing, China

Keywords: Urban built-up area, Construction land, Object-oriented method, Remote sensing, Automatic extraction

Abstract. Built-up area marks the use of city construction land in the different periods of the development, the accurate extraction is the key to the studies of the changes of urban expansion. This paper studies the technology of automatic extraction of urban built-up area based on object-oriented method and remote sensing data, and realizes the automatic extraction of the main built-up area of the city, which saves the manpower cost greatly. First, the extraction of construction land based on object-oriented method, the main technical steps include: (1) Multi-resolution segmentation; (2) Feature Construction and Selection; (3) Information Extraction of Construction Land Based on Rule Set, The characteristic parameters used in the rule set mainly include the mean of the red band (Mean R), Normalized Difference Vegetation Index (NDVI), Ratio of residential index (RRI), Blue band mean (Mean B), Through the combination of the above characteristic parameters, the construction site information can be extracted. Based on the degree of adaptability, distance and area of the object domain, the urban built-up area can be quickly and accurately defined from the construction land information without depending on other data and expert knowledge to achieve the automatic extraction of the urban built-up area. In this paper, Beijing city as an experimental area for the technical methods of the experiment, the results show that: the city built-up area to achieve automatic extraction, boundary accuracy of 2359.65 m to meet the requirements. The automatic extraction of urban built-up area has strong practicality and can be applied to the monitoring of the change of the main built-up area of city.