The Principles and Practice of Image and Spatial Data Fusion*

2001 ◽  
pp. 71-88
Keyword(s):  
Data Fusion ◽  
Spatial Data

Different Roles and Definitions of Spatial Data Fusion

2012 ◽  
pp. 105-111 ◽  
Author(s):  
Patrik Skogster
Keyword(s):  
Data Fusion ◽  
Spatial Data ◽  
Spatial Information ◽  
Geographic Information ◽  
Modern Business ◽  
Computerized System

Geographic information is created by manipulating geographic (or spatial) data (generally known by the abbreviation geodata) in a computerized system. Geo-spatial information and geomatics are issues of modern business and research. It is essential to provide their different definitions and roles in order to get an overall picture of the issue. This article discusses about the problematic of definitions, but also the technologies and challenges within spatial data fusion.

Distributed Multi-Source Spatial Data Fusion Model Construction and Performance Evaluation

2011 ◽  
Vol 460-461 ◽  
pp. 404-408
Author(s):  
Yue Shun He ◽  
Jun Zhang ◽  
Jie He
Keyword(s):  
Performance Evaluation ◽  
Data Fusion ◽  
Information Fusion ◽  
Spatial Data ◽  
Evaluation Model ◽  
Distributed Model ◽  
Fusion System ◽  
Fusion Model ◽  
Test Environment ◽  
Sensor Information

This paper mainly analyzed the principle of multi-source spatial data fusion, and expounded the multi-source spatial data fusion of the distributed model structure. The paper considers a distributed multi-sensor information fusion system factors, A performance evaluation model was established which was suitable for distributed multi-sensor information fusion system, It can estimate the system's precision, track quality, filtering quality, and the relevant between Navigation Paths and so on. Meanwhile, we had a lot of experiments by the datum which generated by the simulation test environment, experiments show that this evaluation model is valid.

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.

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