DocumentCode
1994038
Title
Classification and evaluation of Mountains terrain characteristics based on AHP
Author
Yang, Bin ; Hui-xi xu ; He, Zheng-Wei ; Wang, Qing
Author_Institution
Coll. of Environ. & Resource, Southwest Univ. of Sci. & Technol., Mianyang, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
5
Abstract
Base on synthetically analysis of Mountains terrain characteristics, this paper uses analytic hierarchy process (AHP) to study classification of Mountains terrain characteristics of the Sichuan Mountains which lies in China´s Sichuan Province, according to applying characteristics of AHP. This paper builds the recursion stage structure model using to the mode of highestlevel, middle-level and lowest-level. In the light of the five extracted classification factor and combining the assessed index of Mountains terrain characteristics, an index system should divide into A which notes target-layer and B which notes index-layer (factor-layer). According to the index system, the weights of five extracted classification factors are calculated by using established judgment matrixes. Sichuan Mountains terrain Layer can be extracted in ArcGIS and the result of characteristic is analyzed. Finally, The result of seven characteristics of classification is obtained, which supplies the new classification evaluate means for mountainous region synthesized research and application.
Keywords
geographic information systems; geophysical techniques; terrain mapping; topography (Earth); ArcGIS; China; Sichuan Mountains terrain Layer; Sichuan Province; analytic hierarchy process; classification factor; factor-layer; index system; index-layer; judgment matrixes; mountainous region; recursion stage structure model; target-layer; Chromium; Eigenvalues and eigenfunctions; Fluctuations; Geographic Information Systems; Indexes; Rough surfaces; Surface roughness; AHP; GIS; Mountains; classification; terrain characteristics;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2010 18th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-7301-4
Type
conf
DOI
10.1109/GEOINFORMATICS.2010.5567617
Filename
5567617
Link To Document