A Triple-Path Spectral–Spatial Network With Interleave-Attention for Hyperspectral Image Classification

A Triple-Path Spectral–Spatial Network With Interleave-Attention for Hyperspectral Image Classification

To exploit hyperspectral image's (HSI) spectral–spatial information and reduce network complexity, a triple-path convolution neural network with an interleave-attention mechanism is constructed for high-precision classification. A hybrid branch is proposed to capture joint feat...

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Bibliographic Details
Main Authors: Ziqing Deng, Yang Wang, Bing Zhang, Linwei Li, Jihong Wang, Lifeng Bian, Chen Yang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Hyperspectral image (HSI) classification
interleave-attention
spectral and spatial attention block
spectral–spatial feature extraction
triple-path network (TP-Net)
Online Access:https://ieeexplore.ieee.org/document/9833261/

Internet

https://ieeexplore.ieee.org/document/9833261/

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