A Two-Phase Multiobjective Local Search for GIS Information Fusion: Spatial Homogeneity and Semantic Information Tradeoff

2013 ◽  
pp. 149-165
Author(s):  
Enguerran Grandchamp ◽  
Evelin Fonseca-Cruz
Keyword(s):  
Local Search ◽  
Information Fusion ◽  
Semantic Information ◽  
Two Phase ◽  
Spatial Homogeneity

Techniques and Methods of Spatial Data Fusion

2012 ◽  
Vol 263-266 ◽  
pp. 3274-3278
Author(s):  
Hui Ming Yu ◽  
Jian Zhong Guo ◽  
Yi Cheng ◽  
Qian Lou
Keyword(s):  
Data Fusion ◽  
Information Fusion ◽  
Spatial Data ◽  
Data Model ◽  
Semantic Information ◽  
Utilization Efficiency ◽  
Vector Data ◽  
Raster Data ◽  
Information Precision ◽  
Spatial Data Integration

Spatial data fusion is an important method of spatial data acquisition. The aim of multisource spatial data integration and fusion is to improve the information precision and information's utilization efficiency. Vector and raster are the two main spatial data structures. This article discusses vector data fusion from of data model fusion, semantic information fusion and coordinates unification, reviews the main methods of raster data fusion and discusses the key technologies of vector and raster data fusion, and proposes the future developments of spatial data fusion technique.

Adaptive “Anytime” Two-Phase Local Search

2010 ◽  
pp. 52-67 ◽  
Author(s):  
Jérémie Dubois-Lacoste ◽  
Manuel López-Ibáñez ◽  
Thomas Stützle
Keyword(s):  
Local Search ◽  
Two Phase
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