Open source R for applying machine learning to RPAS remote sensing images

Open source R for applying machine learning to RPAS remote sensing images

Abstract The increase in the number of remote sensing platforms, ranging from satellites to close-range Remotely Piloted Aircraft System (RPAS), is leading to a growing demand for new image processing and classification tools. This article presents a comparison of the Random Forest (RF) and Support...

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Bibliographic Details
Main Authors: Marco Piragnolo, Andrea Masiero, Francesco Pirotti
Format: Article
Language:English
Published: SpringerOpen 2017-07-01
Series:Open Geospatial Data, Software and Standards
Subjects:
Remote sensing
R software
Machine learning
Random forest
Support vector machine
RPAS
Online Access:http://link.springer.com/article/10.1186/s40965-017-0033-4

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http://link.springer.com/article/10.1186/s40965-017-0033-4

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