Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Luis G. Occeña; Wenzhen Chen; Daniel L. Schmoldt
    Date: 1995
    Source: Proceedings, 4th Industrial Engineering Research Conference Proceedings. 276-279.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (59 KB)

    Description

    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.

    Publication Notes

    • You may send email to pubrequest@fs.fed.us to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    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.

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/371