Multitemporal SAR Images Change Detection Considering Ambiguous Co-Registration Errors: A Unified Framework

Image registration and change detection are two important tasks in synthetic aperture radar (SAR) image processing. Conventional researches considered them as two individual problems, where change detection requires pixel-wise registration first. However, they can be integrated into one processing f...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2024, Vol.21, p.1-5
Main Authors: Zhu, Jingxing, Zhou, Guangyao, Wang, Feng, Liu, Rui, Xiang, Yuming, Wang, Wenzhi, You, Hongjian
Format: Article
Language:English
Subjects:
Algorithms
Brightness
Change detection
Change detection algorithms
Errors
Feature extraction
Filtering
Image processing
Image registration
Linear programming
Noise
Objective function
Optical flow
Optical flow (image analysis)
Optimization
Pixels
Radar detection
Radar imaging
Radar polarimetry
SAR (radar)
SAR change detection
Speckle
structure feature
Synthetic aperture radar
synthetic aperture radar (SAR) image registration
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Summary:Image registration and change detection are two important tasks in synthetic aperture radar (SAR) image processing. Conventional researches considered them as two individual problems, where change detection requires pixel-wise registration first. However, they can be integrated into one processing framework and benefit from each other. This letter proposes a unified algorithm to address the change detection problem in multitemporal SAR images considering ambiguous co-registration errors. Based on the framework of optical flow, we designed an advanced objective function by introducing three individual features of heterogeneous, homogeneous, and changed areas in multitemporal SAR images. Afterward, the objective function is iteratively optimized, resulting in pixel-wise correspondences and a changed map. Experimental results on multitemporal SAR images show that the proposed algorithm achieves good performances both on registration accuracy and change detection discrimination.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2024.3489230