Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images

Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images

In this study, a classification and performance evaluation framework for the recognition of urban patterns in medium (Landsat ETM, TM and MSS) and very high resolution (WorldView-2, Quickbird, Ikonos) multi-spectral satellite images is presented. The study aims at exploring the potential of machine...

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Bibliographic Details
Main Authors: Marc Wieland, Massimiliano Pittore
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Remote Sensing
Subjects:
machine learning
data mining
urban remote sensing
object-based image analysis
Online Access:http://www.mdpi.com/2072-4292/6/4/2912

Internet

http://www.mdpi.com/2072-4292/6/4/2912

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