Hyperspectral Image Clustering by Superpixel- Based Low-Rank Constrained Bipartite Graph Learning-Reference-Cited by-同舟云学术

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Hyperspectral Image Clustering by Superpixel- Based Low-Rank Constrained Bipartite Graph Learning

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Yuan Zailong¹^ORCID,Yang Longshan¹^ORCID

Affiliation:

1. Mining College, Guizhou University, Guiyang, China

Funder

National Natural Science Foundation of China

Guizhou Provincial Science and Technology Projects

Guizhou University Ph.D. Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10543003.pdf?arnumber=10543003

Reference20 articles.

1. DISC: Deep Image Saliency Computing via Progressive Representation Learning

2. Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

3. Hyperspectral Imaging in Environmental Monitoring: A Review of Recent Developments and Technological Advances in Compact Field Deployable Systems

4. Bipartite Graph Partition Based Coclustering With Joint Sparsity for Hyperspectral Images

5. Centroid-Based Clustering with αβ-Divergences

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