Show simple item record

dc.contributor.advisorDoulgeris, Anthony P.
dc.contributor.advisorDavids, Corine
dc.contributor.authorToennis, Jonas
dc.date.accessioned2018-02-02T09:08:49Z
dc.date.available2018-02-02T09:08:49Z
dc.date.issued2017-11-15
dc.description.abstractOptical tree delineation algorithms have previously been used for satellite data. In this thesis, they are adapted for use from an Unmanned Aerial Vehicle (UAV). An evaluation of three algorithms (Valley Following, Region Growing and Marker Controlled Watershed) as well as different pre-filtering was done to find the best algorithm and filter combination for a species independent delineation. The Region Growing algorithm gave the best results, and was used to delineate the tree crowns for the Spectral investigation. An SVM classifier was trained to classify the results of the delineation and found that the omission of background points increased the accuracy by 7.7% to 80.3% while reducing processing time by 70 %. Reducing the data amount further by creating a single average over each tree crown, increased classification by a another 1.3% with a processing time reduction of 97 % compared to the full tree stands. The standard deviation of the spectral values within a tree crown where found to carry species information, resulting in an accuracy of 62.5 % or an overall accuracy of 83.3 % when used in combination with the spectral mean tree crown values.en_US
dc.identifier.urihttps://hdl.handle.net/10037/12084
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2017 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/3.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)en_US
dc.subject.courseIDFYS-3900
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429en_US
dc.subjectVDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Fysikk: 430en_US
dc.subjectVDP::Mathematics and natural science: 400::Physics: 430en_US
dc.titleSpectral measurement improvement through optical tree delineationen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


File(s) in this item

Thumbnail
Thumbnail

This item appears in the following collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)