scholarly journals Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification

2016 ◽  
Vol 13 (5) ◽  
pp. 735-739 ◽  
Author(s):  
Daniel Osaku ◽  
Danillo R. Pereira ◽  
Alexandre L. M. Levada ◽  
Joao P. Papa
2015 ◽  
Vol 324 ◽  
pp. 60-87 ◽  
Author(s):  
D. Osaku ◽  
R.Y.M. Nakamura ◽  
L.A.M. Pereira ◽  
R.J. Pisani ◽  
A.L.M. Levada ◽  
...  

2017 ◽  
Vol 38 (20) ◽  
pp. 5736-5762 ◽  
Author(s):  
Silas Evandro Nachif Fernandes ◽  
André Nunes de Souza ◽  
Danilo Sinkiti Gastaldello ◽  
Danillo Roberto Pereira ◽  
João Paulo Papa

2014 ◽  
Vol 52 (10) ◽  
pp. 6075-6085 ◽  
Author(s):  
Rodrigo Jose Pisani ◽  
Rodrigo Yuji Mizobe Nakamura ◽  
Paulina Setti Riedel ◽  
Celia Regina Lopes Zimback ◽  
Alexandre Xavier Falcao ◽  
...  

2009 ◽  
Vol 15 (5) ◽  
pp. 16-23
Author(s):  
O.I. Sakhatsky ◽  
◽  
G.M. Zholobak ◽  
A.A. Makarova ◽  
O.A. Apostolov ◽  
...  

Author(s):  
Serge A. Wich ◽  
Lian Pin Koh

This chapter discusses how data that have been collected with drones can be used to derive orthomosaics and digital surface models through structure-from-motion software and how these can be processed further for land-cover classification or into vegetation metrics. Some examples of the various programs are provided as well. The chapter ends with a discussion on the approaches that have been used to automate counts of animals in drone images.


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