Generalized Zero-Shot Domain Adaptation for Unsupervised Cross-Domain PolSAR Image Classification

Generalized Zero-Shot Domain Adaptation for Unsupervised Cross-Domain PolSAR Image Classification

Cross-domain polarimetric synthetic aperture radar interpretation is urgently needed, due to the rapid data growth and label scarcity. However, the class distribution shift problems hinder the reuse of labeled samples among cross-domain images. Most of the existing domain adaptations can only handle...

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Bibliographic Details
Main Authors: Rong Gui, Xin Xu, Rui Yang, Kailiang Deng, Jun Hu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Generalized zero-shot learning (GZSL)
polarimetric synthetic aperture radar (PolSAR) image
scattering component semantics (SCS)
stacked autoencoder (SAE)
unsupervised domain adaptation (uDA)
Online Access:https://ieeexplore.ieee.org/document/9647973/

Internet

https://ieeexplore.ieee.org/document/9647973/

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