Landform classification based on adjacency index of feature lines

Luo, Mingliang; Tang, Guoan

doi:10.1117/12.760093

Cited by 1 publication

(1 citation statement)

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“…Third, the divides multiplies with positive relief and a fine detail of ridge lines has been obtained, which means the ridge lines being extracted according to the divides combination with landform context [15]. And then the degree of membership is used to extract the ridge lines according to the demands of users.…”

Section: Landform Feature Lines Extractionmentioning

confidence: 99%

Fuzziness and Multi-neighborhood Strategy for Ridgeline Extraction DEMs Based

Luo

Zhang

Tang

et al. 2009

2009 International Conference on Environmental Science and Information Application Technology

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Landform feature lines, as one kind of descriptors of landform skeletons, have been used in many fields, such as surveying, hydrology simulation, landform classification, and vegetation mapping. Due to the fuzziness and multi-scale characteristics of landform features, there are still some obstacles in the process of landform features exaction. The main weakness includes spatial extent, the vagueness of boundaries of landform feature lines. In this study, some efforts have been made to choose a relatively objective spatial extent in the ridgelines extraction. A multi-neighborhood method combined with fuzziness was used in the ridgelines extraction based on DEMs. The process included the following steps, choice of spatial scale, extraction watershed divides, determination degree of membership and extraction ridgelines according to given degree of membership. The result shows that this novel method can depict landform features in fine detail and the choice of spatial extent is more objective and reasonable.

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Section: Landform Feature Lines Extractionmentioning

confidence: 99%