Classification of Infrared Objects in Manifold Space Using Kullback-Leibler Divergence of Gaussian Distributions of Image Points

Classification of Infrared Objects in Manifold Space Using Kullback-Leibler Divergence of Gaussian Distributions of Image Points

Infrared image recognition technology can work day and night and has a long detection distance. However, the infrared objects have less prior information and external factors in the real-world environment easily interfere with them. Therefore, infrared object classification is a very challenging res...

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Bibliographic Details
Main Authors: Huilin Ge, Zhiyu Zhu, Kang Lou, Wei Wei, Runbang Liu, Robertas Damaševičius, Marcin Woźniak
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Symmetry
Subjects:
manifold learning
feature mapping
infrared image recognition
object classification
kullback-leibler divergence
Online Access:https://www.mdpi.com/2073-8994/12/3/434

Internet

https://www.mdpi.com/2073-8994/12/3/434

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