Graph Convolutional Optimal Transport for Hyperspectral Image Spectral Clustering-Reference-Cited by-同舟云学术

Graph Convolutional Optimal Transport for Hyperspectral Image Spectral Clustering

Published:2022 Issue: Volume:60 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Shujun¹^ORCID,Wang Huajun²

Affiliation:

1. Key Laboratory of Earth Exploration and Information Techniques of Ministry of Education, College of Geophysics, Chengdu University of Technology, Chengdu, China

2. College of Mathematics and Physics, Chengdu University of Technology, Chengdu, China

Funder

College of Geophysics, Chengdu University of Technology, Chengdu, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09874842.pdf?arnumber=9874842

Reference67 articles.

1. Optimal transport for structured data with application on graphs;titouan;Proc Int Conf Mach Learn,2019

2. Optimal Transport

3. Computational Optimal Transport: With Applications to Data Science

4. Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image

5. Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization

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