Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions

Hyperspectral imaging serves as a powerful tool for environmental studies, enabling the capture of significant properties in the objects being analyzed. These hidden properties may not be discernible through traditional RGB analysis, thus enhancing the distinguishability of target classes. Machine l...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Andrey Makarov, Islombek Mirpulatov, Nikita Firsov, Valeriy Lobanov, Svetlana Illarionova, Vladimir Podlipnov, Yuliya Vybornova, Dmitrii Shadrin, Andrey Rastorguev, Roman Skidanov, Evgeny Burnaev, Artem Nikonorov
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Hyperspectral imaging computer vision precision agriculture transformers pushbroom machine learning
Online Access:	https://ieeexplore.ieee.org/document/11021539/