A feature-based approach to conflation of geospatial sources
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2004/07/01
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Indian UGC (journal)
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Refrences37
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Citations97
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Ashok Samal a Department of Computer Science and Engineering , University of Nebraska-Lincoln , Lincoln, NE 68588-0115, USA E-mail:
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Sharad Seth a Department of Computer Science and Engineering , University of Nebraska-Lincoln , Lincoln, NE 68588-0115, USA E-mail:
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Kevin Cueto1 a Department of Computer Science and Engineering , University of Nebraska-Lincoln , Lincoln, NE 68588-0115, USA E-mail:
Cite
Samal, Ashok, et al. “A Feature-Based Approach to Conflation of Geospatial Sources”. International Journal of Geographical Information Science, vol. 18, no. 5, 2004, pp. 459-8, https://doi.org/10.1080/13658810410001658076.
Samal, A., Seth, S., & Cueto1, K. (2004). A feature-based approach to conflation of geospatial sources. International Journal of Geographical Information Science, 18(5), 459-489. https://doi.org/10.1080/13658810410001658076
Samal, Ashok, Sharad Seth, and Kevin Cueto1. “A Feature-Based Approach to Conflation of Geospatial Sources”. International Journal of Geographical Information Science 18, no. 5 (2004): 459-89. https://doi.org/10.1080/13658810410001658076.
1.
Samal A, Seth S, Cueto1 K. A feature-based approach to conflation of geospatial sources. International Journal of Geographical Information Science. 2004;18(5):459-8.
Journal Categories
Bibliography
Library science
Information resources
Geography
Anthropology
Recreation
Geography
Anthropology
Recreation
Environmental sciences
Geography
Anthropology
Recreation
Geography (General)
Science
Science (General)
Cybernetics
Information theory
Social Sciences
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Similarity measures | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| 234 | 1999 |
| 10.1007/10703121_16 | ||||
| 10.1016/B978-0-08-042432-3.50017-3 | ||||
| 10.1016/B978-0-08-042432-3.50011-2 | ||||
| 10.7551/mitpress/7287.001.0001 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Smart Urban Cadastral Map Enrichment—A Machine Learning Method | ISPRS International Journal of Geo-Information |
| 2024 | |
A Holistic Workflow for Semi-automated Object Extraction from Large-Scale Historical Maps | KN - Journal of Cartography and Geographic Information | 1 | 2023 | |
A building polygonal object matching method based on minimum bounding rectangle combinatorial optimization and relaxation labeling | Transactions in GIS |
| 1 | 2023 |
Global optimisation matching method for multi-representation buildings constrained by road network | Journal of Computational Methods in Sciences and Engineering |
| 2023 | |
Transfer learning data adaptation using conflation of low‐level textural features | Engineering Reports |
| 2022 |
Citations Analysis
The category
Geography. Anthropology. Recreation: Geography (General) 53
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Focusing on feature-based differences in map comparison and was published in 2006. The most recent citation comes from a 2024 study titled Smart Urban Cadastral Map Enrichment—A Machine Learning Method. This article reached its peak citation in 2017, with 12 citations. It has been cited in 46 different journals, 19% of which are open access. Among related journals, the ISPRS International Journal of Geo-Information cited this research the most, with 18 citations. The chart below illustrates the annual citation trends for this article.