S3L: Spectrum Transformer for Self-Supervised Learning in Hyperspectral Image Classification

S3L: Spectrum Transformer for Self-Supervised Learning in Hyperspectral Image Classification

In the realm of Earth observation and remote sensing data analysis, the advancement of hyperspectral imaging (HSI) classification technology is of paramount importance. Nevertheless, the intricate nature of hyperspectral data, coupled with the scarcity of labeled data, presents significant challenge...

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Bibliographic Details
Main Authors: Hufeng Guo, Wenyi Liu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
self-supervised learning
spectral transformer
encoder–decoder architecture
limited labeled data
Online Access:https://www.mdpi.com/2072-4292/16/6/970

Internet

https://www.mdpi.com/2072-4292/16/6/970

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