Acta Geodaetica et Cartographica Sinica ›› 2015, Vol. 44 ›› Issue (1): 67-75.doi: 10.11947/j.AGCS.2015.20130524

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Loess Shoulder Line Extraction Based on Openness and Threshold Segmentation

WANG Ke1,2, WANG Cheng1, ZHANG Qingfeng1, DING Kailong1   

  1. 1. College of Resources & Environment, Northwest A&F University, Yangling 712100, China;
    2. School of Geography Science, Nanjing Normal University, Nanjing 210023, China
  • Received:2013-12-27 Revised:2014-09-17 Online:2015-01-20 Published:2015-01-22
  • Supported by:

    The Fundamental Research Funds for the Central Universities(No.QN2012042) Doctoral Scientific Research Foundation of Northwest A&F University(No.201104050395)

Abstract:

This paper presents a new method of loess shoulder line extraction with openness and threshold segmentation. Openness is an angular measurement of the relationship between surface relief and horizontal distance which can be derived from DEM. As it has the outstanding ability of expressing the positive and negative terrain characteristics and the attribute of "analysis-scale flexibility", in this study, we developed the idea of loess shoulder line extraction based on the difference of positive and negative openness images and threshould segmentation. Firstly, we calculated the positive and negative openness of our study area based on DEM. Then, a difference image was generated by the subtraction of positive and negative openness images. Afer that, it was processed by a threshold segmentation method, and we analyzed some important spatial distribution characteristics of positive and negative terrain in study area. Finally, we extracted the shoulder lines semi-automatically by an edge-detection method which came from the concept of morphology. Our study area locates in Louchuan, Shaanxi province, a typical hilly gully region in northwstern China. Considering the effect of the local window size on analysis accuracy and the match of the fitness surface and DEM terrain surface, we chose a 5 m×5 m high-resolution DEM of Luochuan which was purchased from Shaanxi Administration of Surveying, Mapping and Geoinformation. The result manifested that our method enhanced and guaranteed the accuracy ofthe basic geomorphological characters of study area.

Key words: loess plateau, high-resolution DEM, topographic openness, positive and negative terrain, loess shoulder line

CLC Number: