A Back-Propagation Neural Network-Based Approach for Multi-Represented Feature Matching in Update Propagation-Reference-Cited by-同舟云学术

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A Back-Propagation Neural Network-Based Approach for Multi-Represented Feature Matching in Update Propagation

Published:2015-03-16 Issue:6 Volume:19 Page:964-993
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Wang Yanxia¹,Chen Deng¹,Zhao Zhiyuan²,Ren Fu¹,Du Qingyun¹

Affiliation:

1. School of Resource and Environmental Science; Wuhan University

2. State Key Laboratory of Information Engineering; Wuhan University

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/tgis.12138/fullpdf

Reference32 articles.

1. An approach to the calculation of similarity degree of a polygon before and after simplification;Bian;Science of Surveying and Mapping,2008

2. A rule-based approach for the conflation of attributed vector data;Cobb;Geoinformatica,1998

3. Extended Hausdorff distance for spatial objects in GIS;Deng;International Journal of Geographical Information Science,2007

4. Fritsch D 1999 GIS Data Revision: Visions and Reality

5. Entity matching in vector spatial data;Fu;International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2008

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