Attention Guided Semisupervised Generative Transfer Learning for Hyperspectral Image Analysis

In geospatial image analysis, domain shifts caused by differences between datasets often undermine the performance of deep learning models due to their limited generalization ability. This issue is particularly pronounced in hyperspectral imagery, given the high dimensionality of the per-pixel refle...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Anan Yaghmour, Saurabh Prasad, Melba M. Crawford
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Attention GANs domain adaptation generative adversarial learning hyperspectral remote sensing semantic segmentation
Online Access:	https://ieeexplore.ieee.org/document/10731899/