Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification

Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification

Scene classification on remote sensing imagery is usually based on supervised learning but collecting labelled data in remote sensing domains is expensive and time-consuming. Bag of Visual Words (BOVW) achieves great success in scene classification but there exist problems in domain adaptation tasks...

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Bibliographic Details
Main Authors: Li Yan, Ruixi Zhu, Yi Liu, Nan Mo
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Remote Sensing
Subjects:
Bag of Visual Words (BOVW)
color-boosted global contrast-based salient region detection method
rotation invariant BOVW representation
transfer of SVM parameters from the source to the target domain
cross-domain scene classification
Online Access:http://www.mdpi.com/2072-4292/10/4/610

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http://www.mdpi.com/2072-4292/10/4/610

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