TY - CHAP
T1 - Notice of Retraction
T2 - A method for generating mountain of predetermined shape based on GIS data
AU - Wang, Wei
AU - Hong, Jun
AU - Zou, Zhigang
AU - Li, Peilin
AU - Qu, Jue
PY - 2010
Y1 - 2010
N2 - Based on GIS data, a new algorithm for generating mountain terrain of predetermined shape is presented in this paper. During geographical analysis, topographic macro-attributes are convenient to grasp the general geography characteristic in huge GIS data, and four topographic macro-attributes are designed as target parameters of predetermined mountain. With the geography relativity, sample regions are selected around the mountain generating region in syncretizing region. Synthesis fuzzy similitude value of each sample, used to calculate sample weights, can be obtained by enduing different attribute weights to execute fuzzy similitude priority algorithm. Elevation matrix of generated mountain is figured out by adding weighted mean of the entire sample relief matrices with elevation matrix of generating region. According to geography uncertainty, there are errors between macro-attributes of generated mountain and target parameters. Generated mountain can be regarded as predetermined mountain by adjusting attribute weights to control each attribute error within the 10 percent range. Thereby different mountains can be gained as predetermined mountain to syncretize with surrounding physiognomy.
AB - Based on GIS data, a new algorithm for generating mountain terrain of predetermined shape is presented in this paper. During geographical analysis, topographic macro-attributes are convenient to grasp the general geography characteristic in huge GIS data, and four topographic macro-attributes are designed as target parameters of predetermined mountain. With the geography relativity, sample regions are selected around the mountain generating region in syncretizing region. Synthesis fuzzy similitude value of each sample, used to calculate sample weights, can be obtained by enduing different attribute weights to execute fuzzy similitude priority algorithm. Elevation matrix of generated mountain is figured out by adding weighted mean of the entire sample relief matrices with elevation matrix of generating region. According to geography uncertainty, there are errors between macro-attributes of generated mountain and target parameters. Generated mountain can be regarded as predetermined mountain by adjusting attribute weights to control each attribute error within the 10 percent range. Thereby different mountains can be gained as predetermined mountain to syncretize with surrounding physiognomy.
KW - Fuzzy similitude priority
KW - GIS
KW - Predetermined shape
UR - https://www.scopus.com/pages/publications/77958559132
U2 - 10.1109/ICCSIT.2010.5564511
DO - 10.1109/ICCSIT.2010.5564511
M3 - 章节
AN - SCOPUS:77958559132
SN - 9781424455386
T3 - Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
SP - 741
EP - 744
BT - Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
PB - IEEE Computer Society
ER -