Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances

The success of the supervised classification of remotely sensed images acquired over large geographical areas or at short time intervals strongly depends on the representativity of the samples used to train the classification algorithm and to define the model. When training samples are collected fro...

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Bibliographic Details
Published inIEEE geoscience and remote sensing magazine Vol. 4; no. 2; pp. 41 - 57
Main Authors Tuia, Devis, Persello, Claudio, Bruzzone, Lorenzo
Format Journal Article
LanguageEnglish
Published IEEE 01.06.2016
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