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Procedures for Geometric Data Reduction in Solid Log Modelling

Informally Refereed
Download (PDF 57 KB): https://research.fs.usda.gov/download/treesearch/371.pdf

Abstract

One of the difficulties in solid log modelling is working with huge data sets, such as those that come from computed axial tomographic imaging. Algorithmic procedures are described in this paper that have successfully reduced data without sacrificing modelling integrity.

Citation

Occeña, Luis G.; Chen, Wenzhen; Schmoldt, Daniel L. 1995. Procedures for Geometric Data Reduction in Solid Log Modelling. Proceedings, 4th Industrial Engineering Research Conference Proceedings. 276-279.