Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery

Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery

Convolutional neural networks (CNNs) have achieved great progress in the classification of surface objects with hyperspectral data, but due to the limitations of convolutional operations, CNNs cannot effectively interact with contextual information. Transformer succeeds in solving this problem, and...

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Bibliographic Details
Main Authors: Yuhan Chen, Pengyuan Liu, Jiechen Zhao, Kaijian Huang, Qingyun Yan
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
vision transformer
convolutional neural networks (CNNs)
feature representations
hyperspectral images (HSIs)
semantic segmentation
Online Access:https://www.mdpi.com/2072-4292/15/13/3366

Internet

https://www.mdpi.com/2072-4292/15/13/3366

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