Hyperspectral unmixing method based on dual-branch multiscale residual attention network-Reference-Cited by-同舟云学术

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Hyperspectral unmixing method based on dual-branch multiscale residual attention network

Published:2023-09-21 Issue:09 Volume:62 Page:
ISSN:0091-3286
Container-title:Optical Engineering
language:
Short-container-title:Opt. Eng.

Author:

Chen Congping¹,Xu Zhiwei¹,Lu Peng¹,Cao Nuo²

Affiliation:

1. Changzhou University, School of Mechanical Engineering and Rail Transit, Changzhou, China

2. China National Electric Apparatus Research Institute Co., Ltd., National Key Laboratory of Environmental Adaptability for Industrial Products, Guangzhou, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference39 articles.

1. Imaging Spectrometry for Earth Remote Sensing

2. Joint Processing of Spatial Resolution Enhancement and Spectral Unmixing for Hyperspectral Image

3. A Hyperspectral Image Classification Method Based on 2-D Compact Variational Mode Decomposition

4. Hyperspectral Image Classification Based on Multi-Level Spectral-Spatial Transformer Network

5. HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification

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