IMHE OpenIR  > 成都山地所知识仓储(2009年以前)
Statistical texture for contour interval choice of 1:50,000 DEMs
MingLiang, Luo1,2; Guoan, Tang1; Shijiang, Yan1; Youfu, Dong1
Source PublicationProceedings of SPIE - The International Society for Optical Engineering
Author of SourceSPIE
meetingGeoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses
Conference DateJune 28, 2008 - June 29, 2008
Conference PlaceGuangzhou
Contribution Rank2
AbstractHow to choose contour interval in different geomorphologic type areas is a challenging job. In the paper a statistical texture method is used to measure the distance between Loess Hillock and Loess Ridge in Loess Plateau, which geomorphologic types are hills. The result shows that when the two areas classified into 25 classes or so with the contour interval 15 and 19 individually, the class separability seems more distinct than less than 25 classes. The results also shows that when the number of class is bigger than 25, the class separability decrease instead of increasing correspondingly. It seems that the too many classes used may produce more details in cost of decreasing class separability. And in the seven statisticalvariables, the number of polygons is the most stable while the mean grayscale, the standard variation ofgrayscale are the most sensitive when the contour interval changes. The result indicates that the contourinterval mainly influences by elevation and relative relief without more information which being dominant. By aid of an appropriate contour interval, the landform features can be easily extracted and is very helpful in delaminate the topography.
Keywordcontour interval statistical texture hill DEMs grayscale class separability
Indexed ByEI
Accession numberAccession number:;20091311985938
Citation statistics
Document Type会议论文
Affiliation1.Key laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing, Jiangsu, China;
2.Institute Of Mountain Hazards And Environment, Chinese Academy of Science, No. 9, Block 4, Renmingnan Road, Chengdu, Sichuan, China
Recommended Citation
GB/T 7714
MingLiang, Luo,Guoan, Tang,Shijiang, Yan,et al. Statistical texture for contour interval choice of 1:50,000 DEMs[C]//SPIE,2008:71462U.
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