Unleashing the full potential of hyperspectral imaging: Decoupled image and frequency-domain spatial–spectral framework-Reference-Cited by-同舟云学术

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Unleashing the full potential of hyperspectral imaging: Decoupled image and frequency-domain spatial–spectral framework

Published:2024-06 Issue: Volume:243 Page:122870
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

He Shuang,Tian Jia^ORCID,Hao Lina,Zhang Sen,Tian Qingjiu^ORCID

Funder

State Key Laboratory of Urban and Regional Ecology

National Natural Science Foundation of China

State Key Laboratory of Remote Sensing Science

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference40 articles.

1. Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy;Amenabar;Nature Communications,2017

2. MFFCG – Multi feature fusion for hyperspectral image classification using graph attention network;Bhatti;Expert Systems with Applications,2023

3. DO-Conv: Depthwise over-parameterized convolutional layer;Cao;IEEE Transactions on Image Processing,2022

4. Deep feature extraction and classification of hyperspectral images based on convolutional neural networks;Chen;IEEE Transactions on Geoscience and Remote Sensing,2016

5. Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification;Ding;Expert Systems with Applications,2023

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1. Perceptual authentication hashing for digital images based on multi-domain feature fusion;Signal Processing;2024-10

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