JOURNAL OF NATURAL RESOURCES ›› 2015, Vol. 30 ›› Issue (4): 705-714.doi: 10.11849/zrzyxb.2015.04.016

• Resource Research Method • Previous Articles    

Land Use Information Extraction in the Inner City of Beijing Based on Object-oriented Classification Method

WANG Cai-yan1,2, WANG Ai-ling1,2, WANG Jie-yong3, LIU Zhi-gao3   

  1. 1. College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, China;
    2. National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, Shandong Agricultural University, Tai'an 271018, China;
    3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2014-01-20 Revised:2014-04-16 Online:2015-04-20 Published:2015-04-16

Abstract:

Land use patterns in the inner cities are often complex and diverse. This paper firstly develops a technical method specially for extracting land information of the inner city based on the method of object-oriented classification, and then collects Resources Satellite No.3 Image to extract land information of the urban areas within the Fourth Ring Road in Beijing city and evaluates the accuracy of the classification result. The results show: by means of multiresolution segmentation, membership function and reasonable classification levels, and by use of the characteristics of spectrum, shape, texture and spatial relationships of different objects, objectoriented method can not only extract water, green land, construction land and undeveloped land, but also extract industrial land, low-intensity and high-intensity residential land, and land to be developed in the study area. The paper takes full use of the characteristics of the high resolution image. The overall accuracy achieves 87.00%, and the Kappa coefficient is 0.8539. The classification results are acceptable.

Key words: Beijing, object- oriented classification, Resources Satellite No.3 Image, membership function, within the Fourth Ring Road

CLC Number: 

  • TP751