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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Vydáno v:	Remote sensing (Basel, Switzerland) Ročník 13; číslo 2; s. 193
Hlavní autoři:	He, Ziping, Xia, Kewen, Li, Tiejun, Zu, Baokai, Yin, Zhixian, Zhang, Jiangnan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.01.2021
Témata:	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
On-line přístup:	Získat plný text
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