Instructional Mask Autoencoder: A Scalable Learner for Hyperspectral Image Classification

Instructional Mask Autoencoder: A Scalable Learner for Hyperspectral Image Classification

Nowadays, an increasing number of hyperspectral images (HSIs) are becoming available. However, the utilization of unlabeled HSIs is extremely low due to high annotation costs. Thus, it is crucial to figure out how to use these unlabeled HSIs and enhance the classification performance. Fortunately, s...

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Bibliographic Details
Main Authors: Weili Kong, Baisen Liu, Xiaojun Bi, Jiaming Pei, Zheng Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Mask autoencoder
multimodal hyperspectral image (HSI)
self-supervised
transfer learning
unlabeled HSI
Online Access:https://ieeexplore.ieee.org/document/10329442/

Internet

https://ieeexplore.ieee.org/document/10329442/

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