Partition of GB-InSAR deformation map based on dynamic time warping and k-means

doi:10.23919/JSEE.2022.000088

Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (4): 907-915.doi: 10.23919/JSEE.2022.000088

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles Next Articles

Partition of GB-InSAR deformation map based on dynamic time warping and k-means

Weiming TIAN^1,⁵(), Lin DU^1,²(), Yunkai DENG^3,*(), Xichao DONG⁴()

¹ Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
² Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China
³ School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
⁴ Beijing Institute of Technology Chongqing Innovation Centre, Chongqing 401120, China
⁵ Advanced Technology Research Institute, Beijing Institute of Technology, Ji'nan 250300, China

Received:2021-03-29 Accepted:2022-02-15 Online:2022-08-30 Published:2022-08-30
Contact: Yunkai DENG E-mail:tianwei6779@163.com;dulinee@qq.com;yunkai_bit@foxmail.com;xcdong@bit.edu.cn
About author:|TIAN Weiming was born in 1983. He received his B.S. and Ph.D. degrees from Beijing Institute of Technology in 2005 and 2010, respectively. He is currently working in the School of Information and Electronics, Beijing Institute of Technology. His research interests include SAR system and signal processing, bistatic SAR synchronization, high-resolution radar system, real-time radar signal processing and DInSAR technology. E-mail: tianwei6779@163.com||DU Lin was born in 1997. She received her B.S. degree from Beijing Institute of Technology in 2019. She is currently pursuing her M.S. degree in the School of Information and Electronics, Beijing Institute of Technology. Her research interests include intelligent information processing method of GB-InSAR and machine learning. E-mail: dulinee@qq.com||DENG Yunkai was born in 1992. He received his Ph.D. degree in information and communication engineering from Beijing Institute of Technology in 2020. He is currently a postdoctoral researcher with the School of Information and Electronics, Beijing Institute of Technology. His research interests include GB-SAR, UAV-SAR, and differential interferometry measurement. E-mail: yunkai_bit@foxmail.com||DONG Xichao was born in 1986. He received his B.S. degree in electrical engineering and his Ph.D. degree in target detection and recognition from Beijing Institute of Technology in 2008 and 2014, respectively. From April 2017, he has been an associate professor in the School of Information and Electronics, Beijing Institute of Technology. His research interests include geosynchronous synthetic aperture radar and weather radar. E-mail: xcdong@bit.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61971037; 61960206009; 61601031) and the Natural Science Foundation of Chongqing, China (cstc2020jcyj-msxmX0608; cstc2020jcyj-jqX0008).

Abstract

Abstract:

Ground-based interferometric synthetic aperture radar (GB-InSAR) can take deformation measurement with a high accuracy. Partition of the GB-InSAR deformation map benefits analyzing the deformation state of the monitoring scene better. Existing partition methods rely on labelled datasets or single deformation feature, and they cannot be effectively utilized in GB-InSAR applications. This paper proposes an improved partition method of the GB-InSAR deformation map based on dynamic time warping (DTW) and k-means. The DTW similarities between a reference point and all the measurement points are calculated based on their time-series deformations. Then the DTW similarity and cumulative deformation are taken as two partition features. With the k-means algorithm and the score based on multi evaluation indexes, a deformation map can be partitioned into an appropriate number of classes. Experimental datasets of West Copper Mine are processed to validate the effectiveness of the proposed method, whose measurement points are divided into seven classes with a score of 0.315 1.

Key words: ground-based interferometric synthetic aperture radar (GB-InSAR), deformation map partition, dynamic time warping (DTW), k-means

Weiming TIAN, Lin DU, Yunkai DENG, Xichao DONG. Partition of GB-InSAR deformation map based on dynamic time warping and k-means[J]. Journal of Systems Engineering and Electronics, 2022, 33(4): 907-915.

Figures/Tables 16

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References 19

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Parameter	Value
Central frequency/GHz	16.2
Wavelength/cm	1.85
Synthetic aperture/m	1.8
Bandwidth/MHz	600
Measuring range/m	50?5 000

k	PNSSE	DB	CH	s
k = 4	29792.60	0.5988	4055550.36	0.2804
k = 5	18496.00	0.5728	4729712.88	0.1987
k = 6	26441.26	0.5566	5686412.41	0.3151
k = 7	6507.91	0.5875	5981752.51	0.0753
k = 8	3360.47	0.5767	6298180.66	0.0584

Class	Cumulative displacement/m			Similarity based on DTW
Class	Maximum	Minimum	Mean	Maximum	Minimum	Mean
2	0.470	0.001	0.151	16.518	0.828	4.358
3	0.880	0.027	0.520	18.043	0.868	1.730
4	1.625	0.351	1.023	15.140	0.948	1.679
5	0.453	2.600	0.058	133.401	15.866	27.721
6	2.707	1.144	1.953	5.364	1.010	1.726
7	5.085	2.356	3.324	2.752	0.0	1.476

Partition of GB-InSAR deformation map based on dynamic time warping and k-means

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