Multiscale Superpixel-Based Hyperspectral Image Classification Using Recurrent Neural Networks With Stacked Autoencoders-Reference-Cited by-同舟云学术

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Multiscale Superpixel-Based Hyperspectral Image Classification Using Recurrent Neural Networks With Stacked Autoencoders

Published:2020-02 Issue:2 Volume:22 Page:487-501
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Shi Cheng,Pun Chi-Man^ORCID

Funder

Research Committee of the University of Macau

Science and Technology Development Fund of Macau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/8968789/08762162.pdf?arnumber=8762162

Cited by 67 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Superpixel‐guided locality preserving projection and spatial–spectral classification for hyperspectral image;Electronics Letters;2024-07

3. Multi-scale Graph Convolutional Neural Network for Marine Aquaculture Extraction Based on SAR Images;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

4. Hyperspectral Image Classification Based on the Fusion of Superpixels and Deformable Features;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

5. Superpixels-based Segmentation and Classification using Modified Fuzzy C-Means Clustering and Color Features;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

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