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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149971
Doc. No : ET21763
Main Entry : Zachary J. Bortolot
Title Proper : An Adaptive Computer Vision Technique for Estimating the Biomass and Density of Loblolly Pine Plantations using Digital Orthophotography and LiDAR Imagery
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : I am extremely grateful to many people and organizations for their assistance and supportduring my Ph. D. studies. First and foremost I would like to thank my fabulous advisor, Dr.Randolph Wynne. Randy was always patient and enthusiastic with my often cockamamie ideas,allowed me to chart my own path (while keeping me from wandering off cliffs!), and taught me aton of stuff that went well beyond remote sensing.I would like to thank my committee members for all of their insightful comments on thedissertation. In particular I would like to thank Dr. John Seiler for frequently reminding me that Iam getting my degree in a forestry department, and therefore needed to cover my bases onforestry-related matters.During my doctoral studies I received financial assistance from a number of sources,including the ASPRS Potomac Region, the International..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL44946.pdf
Title and statement of responsibility and : An Adaptive Computer Vision Technique for Estimating the Biomass and Density of Loblolly Pine Plantations using Digital Orthophotography and LiDAR Imagery [Thesis]
 
 
 
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