Classification of landcover from combined LiDAR and orthophotos using support vector machine

© 2019 IEEE. The study is based on the Landcover classification from combined light detection and ranging (LiDAR) data and orthophotos. Five land classes were extracted namely: barren, build up, low vegetation, mango, and non-agricultural trees. Support vector machine (SVM) was the algorithm used fo...

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Main Authors: Pula, Rolando A., Concepcion, Ronnie, Ilagan, Lorena, Tobias, Rogelio Ruzcko
Format: text
Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2704
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Institution: De La Salle University

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