Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns

Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns

The most commonly used model for analyzing satellite imagery is the Support Vector Machine (SVM). Since there are a large number of possible variables for use in SVM, this paper will provide a combination of parameters that fit best for extracting green urban areas from Copernicus mission satellite...

Full description

Bibliographic Details
Main Authors: Nikola Kranjčić, Damir Medak, Robert Župan, Milan Rezo
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
machine learning
support vector machine
kernels
green urban areas extraction
satellite images
Online Access:http://www.mdpi.com/2072-4292/11/6/655

Internet

http://www.mdpi.com/2072-4292/11/6/655

Similar Items