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Proceedings Paper

Hierarchical map-matching algortihm for quadtree image on MPP
Author(s): Guangyuan Fu; Dong Miao; Wenjun Zhang; Xiaogang Yang
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Paper Abstract

The problem of Map-matching is one key problem in the field of aircraft and vehicle guidance. It deals with the technologies of remote sensing, computer vision, image processing and pattern recognition, etc. Researchers are focusing on how to improve the system's performance, to reduce the searching times and error matching probability. With using an improved quadtree image representative method and the idea of the sequential similarity detection algorithm (SSDA), a hierarchical map-matching algorithm based on embedded MPP system is designed in this paper. The algorithm can greatly reduce matching times and improve locate accuracy.

Paper Details

Date Published: 20 September 2001
PDF: 5 pages
Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); doi: 10.1117/12.441681
Show Author Affiliations
Guangyuan Fu, Xi'an High-Tech Research Institute (China)
Dong Miao, Xi'an High-Tech Research Institute (China)
Wenjun Zhang, Xi'an High-Tech Research Institute (China)
Xiaogang Yang, Xi'an High-Tech Research Institute (China)

Published in SPIE Proceedings Vol. 4555:
Neural Network and Distributed Processing
Xubang Shen; Jianguo Liu, Editor(s)

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