DocumentCode
1948001
Title
Notice of Retraction
A method for generating mountain of predetermined shape based on GIS data
Author
Wang Wei ; Hong Jun ; Zou Zhigang ; Li Peilin ; Qu Jue
Author_Institution
State Key Lab. for Manuf. Syst. Eng., Xi´an Jiaotong Univ., Xi´an, China
Volume
9
fYear
2010
fDate
9-11 July 2010
Firstpage
741
Lastpage
744
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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.
Keywords
digital elevation models; fuzzy set theory; geographic information systems; shape recognition; terrain mapping; GIS data; elevation matrix; fuzzy similitude priority algorithm; fuzzy similitude value; geographical analysis; geography characteristic; geography relativity; geography uncertainty; mountain generating region; mountain terrain generation; predetermined shape; topographic macro-attribute; Fractals; GIS; fuzzy similitude priority; predetermined shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564511
Filename
5564511
Link To Document