Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection

Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection

Change detection is one of the fundamental applications of synthetic aperture radar (SAR) images. However, speckle noise presented in SAR images has a negative effect on change detection, leading to frequent false alarms in the mapping products. In this research, a novel two-phase object-based deep...

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Bibliographic Details
Main Authors: Xinzheng Zhang, Guo Liu, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou, Yongming Li
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (sar)
change detection
deep learning
superpixel
Online Access:https://www.mdpi.com/2072-4292/12/3/548

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https://www.mdpi.com/2072-4292/12/3/548

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