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Co-registration Toolbox for Sentinel-1

Authors: Zhangfeng Ma;

Co-registration Toolbox for Sentinel-1

Abstract

This is just a trial version of CtSent v1.0. It only supports geometrical co-registration, Enhanced Spectral Diversity, interferometry, deburst and phase unwrapping. Some basic functions can be obtained from StaMPS software. (https://homepages.see.leeds.ac.uk/~earahoo/stamps/). If you need a full version which supports Near-Real-Time processing and time series analysis, please contact with Zhang-Feng Ma. If you used CtSent software, please cite given literatures in your publications: [1] Ma, Z.F et.al (2019), Minimum Spanning Tree Co-registration Approach for Time-Series Sentinel-1 TOPS Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(8), 3004-3013. doi: 10.1109/JSTARS.2019.2920717. [2] Ma, Z.F et.al (2020), A Sequential Approach for Sentinel-1 TOPS Time-Series Co-Registration Over Low Coherence Scenarios, IEEE Transactions on Geoscience and Remote Sensing, 1-9. doi: 10.1109/TGRS.2020.3009996. [3] Ma, Z.F. et.al (2021), Time Series Phase Unwrapping Based on Graph Theory and Compressed Sensing, IEEE Transactions on Geoscience and Remote Sensing, 1-12. doi: 10.1109/TGRS.2021.3066784.

CtSent v1.0 described here is a MATLAB-based software developed by a team of researchers, and here we are happy to provide a copy to non-commercial researchers. The code is well documented and has been tested in different regions with different coherence conditions. However, it has not been through the same quality control procedure that is expected for a commercial software. For using this software, some computing environments need to configured (such as GUROBI software for phase unwrapping), for which guidance is provided as below. If you have other concerns or are interested in collaborative researches, please contact us at the following E-mail: jspcmazhangfeng@hhu.edu.cn.

Related Organizations
Keywords

InSAR, Co-registration, Phase Unwrapping, Enhanced Spectral Diversity, Sentinel-1

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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