Multi-Sensor Image Fusion Using Optimized Support Vector Machine and Multiscale Weighted Principal Component Analysis

Multi-Sensor Image Fusion Using Optimized Support Vector Machine and Multiscale Weighted Principal Component Analysis

Multi-sensor image fusion is used to combine the complementary information of source images from the multiple sensors. Recently, conventional image fusion schemes based on signal processing techniques have been studied extensively, and machine learning-based techniques have been introduced into imag...

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Bibliographic Details
Main Authors: Shanshan Huang, Yikun Yang, Xin Jin, Ya Zhang, Qian Jiang, Shaowen Yao
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Electronics
Subjects:
feature extraction
multi-sensor information fusion
image fusion
principal component analysis
multiscale sliding windows
support vector machine
Online Access:https://www.mdpi.com/2079-9292/9/9/1531

Internet

https://www.mdpi.com/2079-9292/9/9/1531

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