Comparison of supervised classification methods of Maximum Likelihood, Minimum Distance, Parallelepiped and Neural Network in images of Unmanned Air Vehicle (UAV) in Viçosa - MG

Comparison of supervised classification methods of Maximum Likelihood, Minimum Distance, Parallelepiped and Neural Network in images of Unmanned Air Vehicle (UAV) in Viçosa - MG

The aim of this work was testing the classification techniques in digital aerial images of spatial high resolution obtained by Unmanned Air Vehicle (UAV). The images recover an area of the Federal University of Viçosa, campus Viçosa in the municipality of Minas Gerais, Brazil. From the orthophoto ge...

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Bibliographic Details
Main Authors: Daniel Camilo de Oliveira Duarte, Juliette Zanetti, Joel Gripp Junior, Nilcilene das Graças Medeiros
Format: Article
Language:English
Published: Universidade Federal de Uberlândia 2018-06-01
Series:Revista Brasileira de Cartografia
Subjects:
Images Classification
Maximum Likelihood
Minimum Distance
Parallelepiped
Neural Network
UAV
Online Access:http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/45377

Internet

http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/45377

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