Evidential reasoning for geological mapping with multisource spatial data
Bibliography: p. 81-85. : Spatial data acquired from different sources may have different measurement scales, different resolutions, different reliabilities, partial coverages, etc. Evidential reasoning provides a heuristic scheme for handling multisource spatial data. Under the evidential framework...
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ftdatacite:10.11575/prism/19658 2023-05-15T17:10:57+02:00 Evidential reasoning for geological mapping with multisource spatial data Shi, Gongchen 1994 https://dx.doi.org/10.11575/prism/19658 https://prism.ucalgary.ca/handle/1880/30346 unknown University of Calgary University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. QE 36 S49 1994 Geological mapping Spatial analysis Statistics Cartography - Data processing CreativeWork article 1994 ftdatacite https://doi.org/10.11575/prism/19658 2021-11-05T12:55:41Z Bibliography: p. 81-85. : Spatial data acquired from different sources may have different measurement scales, different resolutions, different reliabilities, partial coverages, etc. Evidential reasoning provides a heuristic scheme for handling multisource spatial data. Under the evidential framework, different data sources are treated as different pieces of evidence. The evidential support of a data source over a set of hypotheses can be evaluated based on the measurements from the data source. Then the combined evidential support from different sources can be calculated using Dempster's Rule. With Dempster's Rule one can also solve the problem of incompatibility of multisource data. The major difficulty in applying evidential reasoning is the evaluation of evidential support or mass function from different pieces of evidence. In this research, some methods on the evaluation of evidential support from different data sources in the application of multisource spatial data analysis are proposed. Some practical considerations of implementing evidential reasoning are also discussed. The methods presented here have been evaluated in application of geological unit classification. The study site is located in Hall Lake area of Melville Peninsula, Northwest Territories, Canada. The data set used in this research contains: Landsat TM imagery, ERS SAR, radiometric, gravity, aeromagnetic data. The highest overall geological classification accuracy obtained by using the evidential reasoning algorithm is 95.13%. Article in Journal/Newspaper Melville Peninsula Northwest Territories DataCite Metadata Store (German National Library of Science and Technology) Canada Melville Peninsula ENVELOPE(-83.999,-83.999,68.001,68.001) Northwest Territories |
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QE 36 S49 1994 Geological mapping Spatial analysis Statistics Cartography - Data processing |
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QE 36 S49 1994 Geological mapping Spatial analysis Statistics Cartography - Data processing Shi, Gongchen Evidential reasoning for geological mapping with multisource spatial data |
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QE 36 S49 1994 Geological mapping Spatial analysis Statistics Cartography - Data processing |
description |
Bibliography: p. 81-85. : Spatial data acquired from different sources may have different measurement scales, different resolutions, different reliabilities, partial coverages, etc. Evidential reasoning provides a heuristic scheme for handling multisource spatial data. Under the evidential framework, different data sources are treated as different pieces of evidence. The evidential support of a data source over a set of hypotheses can be evaluated based on the measurements from the data source. Then the combined evidential support from different sources can be calculated using Dempster's Rule. With Dempster's Rule one can also solve the problem of incompatibility of multisource data. The major difficulty in applying evidential reasoning is the evaluation of evidential support or mass function from different pieces of evidence. In this research, some methods on the evaluation of evidential support from different data sources in the application of multisource spatial data analysis are proposed. Some practical considerations of implementing evidential reasoning are also discussed. The methods presented here have been evaluated in application of geological unit classification. The study site is located in Hall Lake area of Melville Peninsula, Northwest Territories, Canada. The data set used in this research contains: Landsat TM imagery, ERS SAR, radiometric, gravity, aeromagnetic data. The highest overall geological classification accuracy obtained by using the evidential reasoning algorithm is 95.13%. |
format |
Article in Journal/Newspaper |
author |
Shi, Gongchen |
author_facet |
Shi, Gongchen |
author_sort |
Shi, Gongchen |
title |
Evidential reasoning for geological mapping with multisource spatial data |
title_short |
Evidential reasoning for geological mapping with multisource spatial data |
title_full |
Evidential reasoning for geological mapping with multisource spatial data |
title_fullStr |
Evidential reasoning for geological mapping with multisource spatial data |
title_full_unstemmed |
Evidential reasoning for geological mapping with multisource spatial data |
title_sort |
evidential reasoning for geological mapping with multisource spatial data |
publisher |
University of Calgary |
publishDate |
1994 |
url |
https://dx.doi.org/10.11575/prism/19658 https://prism.ucalgary.ca/handle/1880/30346 |
long_lat |
ENVELOPE(-83.999,-83.999,68.001,68.001) |
geographic |
Canada Melville Peninsula Northwest Territories |
geographic_facet |
Canada Melville Peninsula Northwest Territories |
genre |
Melville Peninsula Northwest Territories |
genre_facet |
Melville Peninsula Northwest Territories |
op_rights |
University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. |
op_doi |
https://doi.org/10.11575/prism/19658 |
_version_ |
1766067621622448128 |