Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images-Reference-Cited by-同舟云学术

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images

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:

Cai Yaoming¹^ORCID,Zhang Zijia¹^ORCID,Ghamisi Pedram²^ORCID,Ding Yao³^ORCID,Liu Xiaobo⁴^ORCID,Cai Zhihua¹^ORCID,Gloaguen Richard¹^ORCID

Affiliation:

1. School of Computer Science, China University of Geosciences, Wuhan, China

2. Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany

3. Xi’an Research Institute of High Technology, Xi’an, China

4. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems and the School of Automation, China University of Geosciences, Wuhan, China

Funder

National Natural Science Foundation of China

National Scholarship for Building High Level Universities, China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09785997.pdf?arnumber=9785997

Reference49 articles.

1. Multilayer Spectral–Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification

2. Weakly supervised semantic segmentation using superpixel pooling network;kwak;Proc AAAI Conf Artif Intell,2017

3. Fuzzy objective functions for robust pattern recognition

4. An efficient k-means clustering algorithm: analysis and implementation

5. Kernel sparse subspace clustering

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