A probability-based multi-measure feature matching method in map conflation
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2009/09/23
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Indian UGC (journal)
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Refrences24
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Citations40
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Xiaohua Tong a Department of Surveying and Geo-informatics , Tongji University , 1239 Siping Road, Shanghai, 200092, PR, China
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Wenzhong Shi b Department of Land Surveying and Geo-informatics , The Hong Kong Polytechnic University , Hong Kong
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Susu Deng a Department of Surveying and Geo-informatics , Tongji University , 1239 Siping Road, Shanghai, 200092, PR, China
Cite
Tong, Xiaohua, et al. “A Probability-Based Multi-Measure Feature Matching Method in Map Conflation”. International Journal of Remote Sensing, vol. 30, no. 20, 2009, pp. 5453-72, https://doi.org/10.1080/01431160903130986.
Tong, X., Shi, W., & Deng, S. (2009). A probability-based multi-measure feature matching method in map conflation. International Journal of Remote Sensing, 30(20), 5453-5472. https://doi.org/10.1080/01431160903130986
Tong, Xiaohua, Wenzhong Shi, and Susu Deng. “A Probability-Based Multi-Measure Feature Matching Method in Map Conflation”. International Journal of Remote Sensing 30, no. 20 (2009): 5453-72. https://doi.org/10.1080/01431160903130986.
1.
Tong X, Shi W, Deng S. A probability-based multi-measure feature matching method in map conflation. International Journal of Remote Sensing. 2009;30(20):5453-72.
Journal Categories
Geography
Anthropology
Recreation
Geography (General)
Science
Geology
Technology
Photography
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Title | 1999 | |||
| Research on Feature Matching and Conflation of Geographic Databases | 2002 | |||
| Proceedings of the International Conference on Geoinformatics and Socioinformatics | ||||
| Proceedings of the GIS/LIS’94 annual Convention | ||||
| Automated Map Conflation | 1993 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Geometric-based approach for linking various building measurement data to a 3D city model | PLOS ONE |
| 2024 | |
Global optimisation matching method for multi-representation buildings constrained by road network | Journal of Computational Methods in Sciences and Engineering |
| 2023 | |
Towards Topological Geospatial Conflation: An Optimized Node-Arc Conflation Model for Road Networks | ISPRS International Journal of Geo-Information |
| 2023 | |
| Optimal road matching by relaxation to min-cost network flow | International Journal of Applied Earth Observation and Geoinformation |
| 1 | 2022 |
| Simulating the hydrological regime of the snow fed and glaciarised Gilgit Basin in the Upper Indus using global precipitation products and a data parsimonious precipitation-runoff model | Science of The Total Environment |
| 24 | 2022 |
Citations Analysis
The category
Geography. Anthropology. Recreation: Environmental sciences 23
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Preface: Spatial accuracy in remote sensing and was published in 2009. The most recent citation comes from a 2024 study titled Geometric-based approach for linking various building measurement data to a 3D city model. This article reached its peak citation in 2017, with 9 citations. It has been cited in 21 different journals, 33% of which are open access. Among related journals, the Transactions in GIS cited this research the most, with 7 citations. The chart below illustrates the annual citation trends for this article.