Perbandingan Klasifikasi SVM dan Decision Tree untuk Pemetaan Mangrove Berbasis Objek Menggunakan Citra Satelit Sentinel-2B di Gili Sulat, Lombok Timur

Mangrove is one of the most important objects in wetland ecosystems. Mangrove research has been done, one of them is using remote sensing technology. This study aims to assess accuracy of object based image analysis (OBIA) approach on both Support Vector Machine (SVM) and Decision Tree classificatio...

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Bibliographic Details
Main Authors: Septiyan Firmansyah, Jonson Lumban Gaol, Setyo Budi Susilo
Format: Article
Language:English
Published: Bogor Agricultural University 2019-10-01
Series:Journal of Natural Resources and Environmental Management
Online Access:https://journal.ipb.ac.id/index.php/jpsl/article/view/21873