Graph Neural Network Based Interpretable Spectral Unmixing for Hyperspectral Unmixing Hyperspectral IIRS Data Onboard Chandrayaan-2 Mission-Reference-Cited by-同舟云学术

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Graph Neural Network Based Interpretable Spectral Unmixing for Hyperspectral Unmixing Hyperspectral IIRS Data Onboard Chandrayaan-2 Mission

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Arun P. V.¹,Mohan Sahoo Maitreya²,Porwal Alok²

Affiliation:

1. Indian Institute of Information Technology,Sri City

2. Indian Institute of Technology,Bombay

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283097.pdf?arnumber=10283097

Reference22 articles.

1. A Comprehensive Survey on Graph Neural Networks

2. Modeling Relational Data with Graph Convolutional Networks

3. Graph Convolutional Networks for Hyperspectral Image Classification

4. Graph-in-Graph Convolutional Network for Hyperspectral Image Classification

5. Deep-learning-based latent space encoding for spectral unmixing of geological materials

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