QTN: Quaternion Transformer Network for Hyperspectral Image Classification

• Published in: IEEE transactions on circuits and systems for video technology Vol. 33; no. 12; p. 1
• Main Authors: Yang, Xiaofei, Cao, Weijia, Lu, Yao, Zhou, Yicong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Classification; Convolution; Convolution neural network; Feature extraction; Hyperspectral image classification; Hyperspectral imaging; Image classification; Quaternion transformer network (QTN); Quaternions; Sequences; Spatial data; Task analysis; Transformer network; Transformers

Numerous state-of-the-art transformer-based techniques with self-attention mechanisms have recently been demonstrated to be quite effective in the classification of hyperspectral images (HSIs). However, traditional transformer-based methods severely suffer from the following problems when processing...