SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm

SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm

Synthetic aperture radar (SAR) images have been applied in disaster monitoring and environmental monitoring. With the objective of reducing the effect of noise on SAR image change detection, this paper presents an approach based on mathematical morphology filtering and K-means clustering for SAR ima...

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Bibliographic Details
Main Authors: Luyang Liu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Image change detection
mathematical morphology filter
K-means clustering
logarithmic transformation
synthetic aperture radar (SAR) image
Online Access:https://ieeexplore.ieee.org/document/8676313/

Internet

https://ieeexplore.ieee.org/document/8676313/

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