Detecting spatio-temporal urban surface changes using identified temporary coherent scatterers

doi:10.23919/JSEE.2021.000110

Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (6): 1304-1317.doi: 10.23919/JSEE.2021.000110

• RADAR DIFFERENTIAL INTERFEROMETRY TECHNIQUES AND APPLICATIONS • Previous Articles Next Articles

Detecting spatio-temporal urban surface changes using identified temporary coherent scatterers

Fengming HU^1,*(), Jicang WU²()

¹ Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China
² College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

Received:2021-04-20 Accepted:2021-11-16 Online:2022-01-05 Published:2022-01-05
Contact: Fengming HU E-mail:fm_hu@fudan.edu.cn;jcwu@tongji.edu.cn
About author:|HU Fengming was born in 1993. He received his Ph. D. degree in surveying and mapping science and technology from Tongji University in 2020. He is currently a postdoctoral fellow in Fudan University. His research interests are deformation monitoring, urban change detection, and dynamic data processing using SAR images. E-mail: fm_hu@fudan.edu.cn||WU Jicang was born in 1965. He received his Ph.D. degree from the Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University in 1998. He has been a professor with the College of Surveying and Geo-Informatics, Tongji University. He is specialized in crustal deformation monitoring and inversion analysis. E-mail: jcwu@tongji.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (42074022)

Abstract

Abstract:

Synthetic aperture radar (SAR) is able to detect surface changes in urban areas with a short revisit time, showing its capability in disaster assessment and urbanization monitoring. Most presented change detection methods are conducted using couples of SAR amplitude images. However, a prior date of surface change is required to select a feasible image pair. We propose an automatic spatio-temporal change detection method by identifying the temporary coherent scatterers. Based on amplitude time series, ${\chi ^2} $ -test and iterative single pixel change detection are proposed to identify all step-times: the moments of the surface change. Then the parameters, e.g., deformation velocity and relative height, are estimated and corresponding coherent periods are identified by using interferometric phase time series. With identified temporary coherent scatterers, different types of temporal surface changes can be classified using the location of the coherent periods and spatial significant changes are identified combining point density and F values. The main advantage of our method is automatically detecting spatio-temporal surface changes without prior information. Experimental results by the proposed method show that both appearing and disappearing buildings with their step-times are successfully identified and results by ascending and descending SAR images show a good agreement.

Key words: change detection, temporary coherent scatterer, multi-temporal interferometric synthetic aperture radar (InSAR), amplitude analysis

Fengming HU, Jicang WU. Detecting spatio-temporal urban surface changes using identified temporary coherent scatterers[J]. Journal of Systems Engineering and Electronics, 2021, 32(6): 1304-1317.

Figures/Tables 15

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Detecting spatio-temporal urban surface changes using identified temporary coherent scatterers

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