Attention Residual Hybrid Network for Unmanned Aerial Vehicles Hyperspectral Image Classification

Attention Residual Hybrid Network for Unmanned Aerial Vehicles Hyperspectral Image Classification

Unmanned aerial vehicle (UAV) hyperspectral images are endowed with abundant spectral information and spatial texture details, which are crucial for the precise classification and monitoring of terrestrial features. Despite the imagery offers high spatial and spectral resolution along with exception...

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Bibliographic Details
Main Authors: Zhen Zhang, Linhuan Jiang, Bo-Hui Tang, Jianchen Liu, Qingwang Wang, Yabin Hu, Liang Huang, Zhitao Fu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Hybrid network
image classification
spectral–spatial attention mechanism
UAV-borne hyperspectral imagery
Online Access:https://ieeexplore.ieee.org/document/10882906/
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https://ieeexplore.ieee.org/document/10882906/

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