Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review,        editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Name
E-mail
Phone
Title
Content
Verification Code
Turn off MathJax
Article Contents

ZHOU Fangbin, XIAO Zhiwen, LIU Xuejun, MA Guowei, ZHANG Shanshan. Method for Mountain Peak Extraction of Grid DEM Based on Aspect Distribution Feature[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210479
Citation: ZHOU Fangbin, XIAO Zhiwen, LIU Xuejun, MA Guowei, ZHANG Shanshan. Method for Mountain Peak Extraction of Grid DEM Based on Aspect Distribution Feature[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210479

Method for Mountain Peak Extraction of Grid DEM Based on Aspect Distribution Feature

doi: 10.13203/j.whugis20210479
Funds:

The National Natural Science Foundation of China, Nos. 41671446, 41371421

  • Received Date: 2021-09-06
    Available Online: 2022-03-12
  • Objects: The mountain peak extraction technology determines the accuracy of the hill position classification results and the efficiency of automatic classification of micro-landform. On account of the limitations of elevation and contour lines, such as loss of local mountain peaks and incomplete removal of false mountain peaks, it must be mined other landform factors to express the distribution feature around the mountain peaks. Methods: Based on the uniform distribution feature of the aspect around the mountain peaks, an efficient mountain peak extraction model is proposed in this paper, in which the aspect is centered on the mountain peak and gradually increases clockwise. Moreover, according to the ridge line fitting method and the recursive thought of depth first search algorithm, the false mountain peaks in the extraction results are removed, while the real mountain peaks are retained. Results: Considering the negative influences of the terrain fragmentation of the entity DEM, this paper experiments and analyzes with simulated DEM and entity DEM respectively. The result shows that the proposed method overcomes the uncertainty of subjective threshold when extracting mountain peaks based on closed contour lines. The accuracy of extracting simulated DEM mountain peaks can achieve up to 100% due to its continuity and smoothness. Considering that the terrain fragmentation of entity DEM will make it ill-posed, we improve it by adjusting the aspect distribution constraint condition and obtain average extraction accuracy of 96.1%. Conclusion: An efficient mountain peak extraction model is proposed in this paper based on the digital terrain analysis technology and the uniform distribution feature of the aspect around the mountain peaks, and the topographic feature points are extracted from the perspective of terrain geometry. Compared with the traditional mountain peak extraction methods, the method based on aspect distribution feature is relatively accurate and simple, effectively reducing the false mountain peaks appearing in the results.
  • [1] Mukherjee S, Mukherjee S, Garg R D, et al. Evaluation of topographic index in relation to terrain roughness and DEM grid spacing[J]. Journal of Earth System Science, 2013, 122(3):869-886.
    [2] Ibrahim M, Al-Mashaqbah A, Koch B, et al. An evaluation of available digital elevation models (DEMs) for geomorphological feature analysis[J]. Environmental Earth Sciences, 2020, 79(13):1-11.
    [3] Wood J. The geomorphological characterisation of digital elevation models[M]. University of Leicester (United Kingdom), 1996.
    [4] Deng Y, Wilson J P. Multi-scale and multi-criteria mapping of mountain peaks as fuzzy entities[J]. International Journal of Geographical Information Science, 2008, 22(1-2):205-218.
    [5] Lee J, Fisher P F, Snyder P K. Modeling the effect of data errors on feature extraction from digital elevation models[J]. Photogrammetric Engineering and Remote Sensing, 1992, 58(10):1461-1461.
    [6] Sofia G. Combining geomorphometry, feature extraction techniques and Earth-surface processes research:The way forward[J]. Geomorphology, 2020, 355:107055.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(206) PDF downloads(9) Cited by()

Related
Proportional views

Method for Mountain Peak Extraction of Grid DEM Based on Aspect Distribution Feature

doi: 10.13203/j.whugis20210479
Funds:

The National Natural Science Foundation of China, Nos. 41671446, 41371421

Abstract: Objects: The mountain peak extraction technology determines the accuracy of the hill position classification results and the efficiency of automatic classification of micro-landform. On account of the limitations of elevation and contour lines, such as loss of local mountain peaks and incomplete removal of false mountain peaks, it must be mined other landform factors to express the distribution feature around the mountain peaks. Methods: Based on the uniform distribution feature of the aspect around the mountain peaks, an efficient mountain peak extraction model is proposed in this paper, in which the aspect is centered on the mountain peak and gradually increases clockwise. Moreover, according to the ridge line fitting method and the recursive thought of depth first search algorithm, the false mountain peaks in the extraction results are removed, while the real mountain peaks are retained. Results: Considering the negative influences of the terrain fragmentation of the entity DEM, this paper experiments and analyzes with simulated DEM and entity DEM respectively. The result shows that the proposed method overcomes the uncertainty of subjective threshold when extracting mountain peaks based on closed contour lines. The accuracy of extracting simulated DEM mountain peaks can achieve up to 100% due to its continuity and smoothness. Considering that the terrain fragmentation of entity DEM will make it ill-posed, we improve it by adjusting the aspect distribution constraint condition and obtain average extraction accuracy of 96.1%. Conclusion: An efficient mountain peak extraction model is proposed in this paper based on the digital terrain analysis technology and the uniform distribution feature of the aspect around the mountain peaks, and the topographic feature points are extracted from the perspective of terrain geometry. Compared with the traditional mountain peak extraction methods, the method based on aspect distribution feature is relatively accurate and simple, effectively reducing the false mountain peaks appearing in the results.

ZHOU Fangbin, XIAO Zhiwen, LIU Xuejun, MA Guowei, ZHANG Shanshan. Method for Mountain Peak Extraction of Grid DEM Based on Aspect Distribution Feature[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210479
Citation: ZHOU Fangbin, XIAO Zhiwen, LIU Xuejun, MA Guowei, ZHANG Shanshan. Method for Mountain Peak Extraction of Grid DEM Based on Aspect Distribution Feature[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210479
Reference (6)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return