Hyperspectral Unmixing Using Transformer Network-Reference-Cited by-同舟云学术

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Hyperspectral Unmixing Using Transformer Network

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ghosh Preetam¹,Roy Swalpa Kumar¹^ORCID,Koirala Bikram²^ORCID,Rasti Behnood³^ORCID,Scheunders Paul²^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Jalpaiguri Engineering College, Jalpaiguri, India

2. Imec-Visionlab, University of Antwerp (CDE), Antwerp, Belgium

3. Helmholtz Institute Freiberg for Resource Technology, Machine Learning Group, Helmholtz-Zentrum Dresden-Rossendorf, Freiberg, Germany

Funder

Research Foundation-Flanders-Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09848995.pdf?arnumber=9848995

Reference63 articles.

1. Spectral Unmixing Using Autoencoder with Spatial and Spectral Regularizations

2. Deep Learning in Hyperspectral Unmixing: A Review

3. Sparse Unmixing of Hyperspectral Data

4. Hyperspectral Unmixing Based on Mixtures of Dirichlet Components

5. MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing

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2. CTNet: an efficient coupled transformer network for robust hyperspectral unmixing;International Journal of Remote Sensing;2024-07-30

3. Dual-Branch Autoencoder with Clustering Information for Hyperspectral Blind Unmixing;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. A Spectral Variability Attention Autoencoder Network for Hyperspectral Unmixing;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. A novel plant type, leaf disease and severity identification framework using CNN and transformer with multi-label method;Scientific Reports;2024-05-22

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