When Multigranularity Meets Spatial–Spectral Attention: A Hybrid Transformer for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3242978
Abstract: The transformer framework has shown great potential in the field of hyperspectral image (HSI) classification due to its superior global modeling capabilities compared to convolutional neural networks (CNNs). To utilize the transformer to model spatial–spectral… read more here.
Keywords: hybrid transformer; spatial spectral; classification; multigranularity ... See more keywords
Multigranularity Decoupling Network With Pseudolabel Selection for Remote Sensing Image Scene Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3244565
Abstract: The existing deep networks have shown excellent performance in remote sensing scene classification (RSSC), which generally requires a large amount of class-balanced training samples. However, deep networks will result in underfitting with imbalanced training samples… read more here.
Keywords: decoupling network; multigranularity; scene classification; remote sensing ... See more keywords