Geospatial Modeling Using Dempster-Shafer Theory

被引：9
作者：
Elmore, Paul A. [1 ]
Petry, Frederick E. [2 ]
Yager, Ronald R. [3 ]
机构：
[1] Naval Res Lab, Stennis Space Ctr, Marine Geosci Div, Stennis Space Ctr, MS 39529 USA
[2] NASA, Naval Res Lab, Stennis Space Ctr, Stennis Space Ctr, MS 39529 USA
[3] Iona Coll, Machine Intelligence Inst, New Rochelle, NY 10801 USA
来源：
IEEE TRANSACTIONS ON CYBERNETICS | 2017年 / 47卷 / 06期
关键词：
Dempster-Shafer (D-S); geospatial data; spatial intervals; spatial relationships; uncertain line; uncertain point; FUZZY REGIONS; INFORMATION;
D O I：
10.1109/TCYB.2016.2551979
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Uncertainty in spatial geometrical issues is represented using Dempster-Shafer (D-S) theory. Interval approaches are used for D-S uncertainty of spatial locations and the associated arithmetic operations on such intervals described. Categories of uncertainty for points and lines are defined using interval formulations. Based on these, approaches for calculation of geometric areas, line length and line slopes are given. Compatibility of imprecise point locations is discussed and potential aggregations for similar points considered. Finally, topological spatial relationships are described for objects with uncertain boundaries. This will provide a formal framework for the use of a D-S interval approach for uncertainty in spatial geometric issues.
引用
收藏
页码：1551 / 1561
页数：11
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