Bennett, R. R., Welham, K., Hill, R. and Ford, A. (2012). A Comparison of Visualization Techniques for Models Created from Airborne Laser Scanned Data. Archaeological Prospection. Vol 19(1), pp. 41-48. https://doi.org/10.1002/arp.1414.
 Title The title of the publication or report |
A Comparison of Visualization Techniques for Models Created from Airborne Laser Scanned Data | ||
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Issue The name of the volume or issue |
Archaeological Prospection | ||
Series The series the publication or report is included in |
Archaeological Prospection | ||
Volume Volume number and part |
19 (1) | ||
Page Start/End The start and end page numbers. |
41 - 48 | ||
Biblio Note This is a Bibliographic record only. |
The ADS have no files for download on this page but further information is available online, normally as an electronic version maintained by the Publisher, or held in a larger collection such as an ADS Archive. Please refer to the DOI or URI listed in the Relations section of this record to locate the information you require. In the case of non-ADS resources, please be aware that we cannot advise further on availability. | ||
Publication Type The type of publication - report, monograph, journal article or chapter from a book |
Journal | ||
Abstract The abstract describing the content of the publication or report |
This study quantitatively compares five visualization techniques ranging from the commonly used shaded relief model to newer local relief and sky view factor modelling for a study area in the UK. Outputs are compared with the baseline data of the English Heritage National Mapping Programme aerial photographic archive transcription and assessed with respect to percentage visibility of feature length. Ancillary aspects of the outputs are discussed, such as geospatial shift of features, suitability for profile mapping, ease of interpretation and ability to combine with other data sources. It is concluded that although the overall performance of the models in terms of feature recognition is relatively even, consideration of all factors enables more transparent modelling choices to be made and facilitates critical interpretation of the features recorded. | ||
Year of Publication The year the book, article or report was published |
2012 | ||
Source Where the record has come from or which dataset it was orginally included in. |
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Relations Other resources which are relevant to this publication or report |
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Created Date The date the record of the pubication was first entered |
06 Aug 2012 |
