A Constrained Graph-Based Semi-Supervised Algorithm Combined with Particle Cooperation and Competition for Hyperspectral Image Classification

Semi-supervised learning (SSL) focuses on the way to improve learning efficiency through the use of labeled and unlabeled samples concurrently. However, recent research indicates that the classification performance might be deteriorated by the unlabeled samples. Here, we proposed a novel graph-based...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 13; no. 2; p. 193
Main Authors:	He, Ziping, Xia, Kewen, Li, Tiejun, Zu, Baokai, Yin, Zhixian, Zhang, Jiangnan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.01.2021
Subjects:	Accuracy Algorithms artificial intelligence Classification Competition Cooperation data collection Datasets exhibitions graph construction hyperspectral image classification hyperspectral imagery Hyperspectral imaging Image classification label propagation learning model validation Noise Noise generation particle competition and cooperation Performance evaluation Propagation Remote sensing sampling Semi-supervised learning sounds Support vector machines
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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