Classification of PolSAR Images by Stacked Random Forests

Classification of PolSAR Images by Stacked Random Forests

This paper proposes the use of Stacked Random Forests (SRF) for the classification of Polarimetric Synthetic Aperture Radar images. SRF apply several Random Forest instances in a sequence where each individual uses the class estimate of its predecessor as an additional feature. To this aim, the inte...

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Bibliographic Details
Main Authors: Ronny Hänsch, Olaf Hellwich
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
random forests
stacking
ensemble learning
classification
PolSAR
Online Access:http://www.mdpi.com/2220-9964/7/2/74

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