Augmented Associative Learning-Based Domain Adaptation for Classification of Hyperspectral Remote Sensing Images

Augmented Associative Learning-Based Domain Adaptation for Classification of Hyperspectral Remote Sensing Images

Associative learning-based domain adaptation approach is investigated for the classification of hyperspectral remote sensing images in this article. It employs the criterion of cycle consistency to achieve features that are both domain-invariant and discriminative. Two cross-domain similarity matric...

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Bibliographic Details
Main Authors: Min Chen, Li Ma, Wenjin Wang, Qian Du
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Associative learning
classification
domain adaptation
hyperspectral remote sensing
Online Access:https://ieeexplore.ieee.org/document/9222533/

Internet

https://ieeexplore.ieee.org/document/9222533/

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