NDLI: Critical points correspondence between vector homonymous features based on string matching method

Content Provider	IEEE Xplore Digital Library
Author	Dongbao Zhao Junzhen Meng Ka Zhang
Copyright Year	2011
Description	Author affiliation: Key Laboratory of Virtual Geographic Environment, MOE, Nanjing Normal University, China (Ka Zhang) \|\| Institute of Resources and Environment, North China University of Water Conservancy and Electric Power, Zhengzhou, China (Dongbao Zhao; Junzhen Meng)
Abstract	Automated matching of critical points from vector homonymous features is important in the field of spatial data fusion and conflation. In view of complicated shape characteristic of map features, string matching method was improved and used to solve the critical points correspondence problem in this paper. Firstly, map features were simplified base on overlay similarity by analyzing how similar they were between simplified map feature and the original map feature, and thus critical points could be extracted automatically. Secondly, traditional differential invariant was alternated to robust local feature invariant defined in this paper, and lastly the best critical points correspondence relationship can be found by minimizing the value of edit cost function with dynamic programming method. Many experiments indicate that the matching result of the proposed method were not only invariant to similarity transformation, but also were insensitive to noise and scale difference, and therefore the proposed method can be applied in the spatial data conflation efficiently which lay a solid foundation for point accuracy improvement.
Starting Page	66
Ending Page	70
File Size	345105
Page Count	5
File Format	PDF
ISBN	9781612848396
e-ISBN	9781612848402
DOI	10.1109/ICCRD.2011.5763975
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Positional accuracy improvement Accuracy Shape Map conflation Roads Points correspondence Humans Feature extraction Spatial databases Pattern matching
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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