An MT-InSAR Data Partition Strategy for Sentinel-1A/B TOPS Data
Abstract
:1. Introduction
2. The Block MT-InSAR Data Processing Strategy
2.1. Data Partition and Block Processing
2.2. Results Correction Based on Least Square Estimation
2.3. Result Mosaicking
3. Experiment and Data Processing
3.1. Study Area and Datasets
3.2. Data Processing
4. Result Analysis
4.1. Precision of the Deformation Rate
4.2. Precision of the Deformation Sequence
4.3. Time and Memory Consumption
5. Discussion
5.1. Space Consistency Correction
5.2. Effects of Overlap Rate on Result Precision and Time Consumption
5.3. Implications of Data Partition Strategy for MT-InSAR
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A
Study Area | Parameters | Acquisition Date (YYYY/MM/DD) | ||||
---|---|---|---|---|---|---|
Changzhou | Direction | Ascending | 2018/01/10 | 2018/01/22 | 2018/02/03 | 2018/02/15 |
Path | T69 | 2018/02/27 | 2018/03/11 | 2018/03/23 | 2018/04/04 | |
Heading | −12.79° | 2018/04/16 | 2018/04/28 | 2018/05/10 | 2018/05/22 | |
Incidence | 36.65° | 2018/06/03 | 2018/06/15 | 2018/06/27 | 2018/07/09 | |
Pixel Spacing (Rg × Az) | 2.33 × 13.98 | 2018/07/21 | 2018/08/02 | 2018/08/14 | 2018/09/07 | |
2018/09/19 | 2018/10/01 | 2018/10/13 | 2018/10/25 | |||
Number of images | 110 | 2018/11/06 | 2018/11/18 | 2018/12/12 | 2018/12/24 | |
2019/01/05 | 2019/01/17 | 2019/02/10 | 2019/02/16 | |||
2019/02/22 | 2019/03/06 | 2019/03/18 | 2019/03/30 | |||
2019/04/05 | 2019/04/11 | 2019/04/23 | 2019/04/29 | |||
2019/05/05 | 2019/05/11 | 2019/05/17 | 2019/05/23 | |||
2019/05/29 | 2019/06/04 | 2019/06/10 | 2019/06/16 | |||
2019/06/22 | 2019/06/28 | 2019/07/04 | 2019/07/10 | |||
2019/07/16 | 2019/07/22 | 2019/07/28 | 2019/08/03 | |||
2019/08/09 | 2019/08/15 | 2019/08/21 | 2019/08/27 | |||
2019/09/02 | 2019/09/08 | 2019/09/20 | 2019/09/26 | |||
2019/10/02 | 2019/10/08 | 2019/10/14 | 2019/10/20 | |||
2019/10/26 | 2019/11/01 | 2019/11/07 | 2019/11/19 | |||
2019/11/25 | 2019/12/01 | 2019/12/07 | 2019/12/13 | |||
2019/12/19 | 2019/12/25 | 2019/12/31 | 2020/01/12 | |||
2020/01/24 | 2020/02/05 | 2020/02/17 | 2020/02/29 | |||
2020/03/12 | 2020/03/24 | 2020/04/05 | 2020/04/17 | |||
2020/04/29 | 2020/05/11 | 2020/05/23 | 2020/06/04 | |||
2020/06/16 | 2020/06/28 | 2020/07/10 | 2020/07/22 | |||
2020/07/28 | 2020/08/03 | 2020/08/15 | 2020/08/27 | |||
2020/09/08 | 2020/09/20 | 2020/10/02 | 2020/10/14 | |||
2020/10/26 | 2020/11/07 | 2020/11/19 | 2020/12/01 | |||
2020/12/13 | 2020/12/25 | |||||
Qijiang | Direction | Ascending | 2018/01/09 | 2018/01/21 | 2018/02/02 | 2018/02/14 |
Path | T55 | 2018/02/26 | 2018/03/10 | 2018/03/22 | 2018/04/03 | |
Heading | −12.65° | 2018/04/15 | 2018/04/27 | 2018/05/09 | 2018/05/21 | |
Incidence | 43.64° | 2018/06/02 | 2018/06/14 | 2018/06/26 | 2018/07/08 | |
Pixel Spacing (Rg × Az) | 2.33 × 13.96 | 2018/07/20 | 2018/08/01 | 2018/08/25 | 2018/09/06 | |
2018/09/18 | 2018/09/30 | 2018/10/12 | 2018/10/24 | |||
Number of images | 114 | 2018/11/05 | 2018/11/29 | 2018/12/11 | 2018/12/23 | |
2019/01/04 | 2019/01/16 | 2019/01/28 | 2019/02/09 | |||
2019/02/21 | 2019/03/05 | 2019/03/17 | 2019/03/29 | |||
2019/04/10 | 2019/04/22 | 2019/05/04 | 2019/05/16 | |||
2019/05/28 | 2019/06/09 | 2019/07/03 | 2019/07/15 | |||
2019/07/27 | 2019/08/08 | 2019/08/20 | 2019/09/01 | |||
2019/09/13 | 2019/09/25 | 2019/10/07 | 2019/10/19 | |||
2019/10/31 | 2019/11/12 | 2019/11/24 | 2019/12/06 | |||
2019/12/18 | 2019/12/30 | 2020/01/11 | 2020/01/23 | |||
2020/02/04 | 2020/02/16 | 2020/02/28 | 2020/03/11 | |||
2020/03/23 | 2020/04/04 | 2020/04/16 | 2020/04/28 | |||
2020/05/22 | 2020/06/03 | 2020/06/15 | 2020/06/27 | |||
2020/07/09 | 2020/07/21 | 2020/08/02 | 2020/08/14 | |||
2020/09/07 | 2020/09/19 | 2020/10/01 | 2020/10/13 | |||
2020/10/25 | 2020/11/06 | 2020/11/18 | 2020/11/30 | |||
2020/12/12 | 2020/12/24 | 2021/01/05 | 2021/01/17 | |||
2021/01/29 | 2021/02/10 | 2021/02/22 | 2021/03/06 | |||
2021/03/18 | 2021/03/30 | 2021/04/11 | 2021/04/23 | |||
2021/05/29 | 2021/06/10 | 2021/06/22 | 2021/07/16 | |||
2021/07/28 | 2021/08/09 | 2021/08/21 | 2021/09/02 | |||
2021/09/14 | 2021/09/26 | 2021/10/08 | 2021/10/20 | |||
2021/11/01 | 2021/11/13 | 2021/11/25 | 2021/12/07 | |||
2021/12/19 | 2021/12/31 |
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Study Area | Direction | Path | Heading | Incidence | Pixel Spacing (Rg × Az) | Num of Images |
---|---|---|---|---|---|---|
Changzhou | Ascending | T69 | −12.79° | 36.65° | 2.33 × 13.98 m | 110 |
Qijiang | T55 | −12.65° | 43.64° | 2.33 × 13.96 m | 115 |
Study Area | Strategy | Area | Number of Points | Std /(mm/yr) | Mean /(mm/yr) | Difference /(mm/yr) | Precision Improvement |
---|---|---|---|---|---|---|---|
Changzhou | Partition | A | 564,867 | 3.4 | 4.0 | 0.2 | 5% |
B | 589,430 | 4.1 | |||||
C | 593,479 | 4.6 | |||||
Traditional | A | 561,071 | 3.7 | 4.2 | |||
B | 582,648 | 4.2 | |||||
C | 591,199 | 4.6 | |||||
Qijiang | Partition | D | 992,679 | 3.2 | 3.3 | 0.6 | 15% |
E | 916,098 | 3.1 | |||||
F | 922,811 | 3.6 | |||||
Traditional | D | 986,163 | 3.8 | 3.9 | |||
E | 897,871 | 3.9 | |||||
F | 923,017 | 4.0 |
Changzhou | Qijiang | |||
---|---|---|---|---|
Traditional | Partition | Traditional | Partition | |
Original size (pixels) | 29,739 × 6892 | 29,739 × 6892 | 28,104 × 7648 | 28,104 × 7648 |
Partition strategy | \ | 6 × 5 ~30% overlap | \ | 6 × 5 ~25% overlap |
Size of block (pixels) | \ | 7147 × 1373 | \ | 6374 × 1574 |
Platform | CPU: AMD Ryzen 9 5900X 12-Core/RAM:64 G | |||
Multi-look | 5:1 | |||
Average number of points in a block | \ | 2,941,200 | \ | 2,493,200 |
Total number of points | 50,941,512 | 51,178,814 | 51,620,120 | 51,883,633 |
Memory Usage | 27.2 G | 1.3 G | 27.9 G | 1.3 G |
Time of partition | \ | ~1 h | \ | ~1 h |
Time of InSAR processing | ~20 h | ~1.2 h | ~20 h | ~1.2 h |
Time of correction | \ | ~0.1 h | \ | ~0.1 h |
Total time | ~20 h | ~8.7 h | ~20 h | ~8.7 h |
Overlap Ratio | Total Overlap | Block Size (Amount) | Precision /(mm/yr) | Time of Each Block | Total Time | |
---|---|---|---|---|---|---|
Traditional | 0% | 29,739 × 6892 (1) | A | 3.7 | 20 h | 20 h |
B | 4.2 | |||||
C | 4.6 | |||||
10% | 36% | 7000 × 1500 (20) 4539 × 1500 (5) | A1 | 3.5 | 1.2 h 0.8 h | 6.7 h |
B1 | 4.2 | |||||
C1 | 4.6 | |||||
20% | 64% | 7000 × 1500 (25) 7000 × 892 (5) | A2 | 3.5 | 1.2 h 0.7 h | 7.8 h |
B2 | 4.1 | |||||
C2 | 4.6 | |||||
30% | 84% | 7000 × 1500 (30) 5239 × 1500 (6) | A3 | 3.4 | 1.2 h 0.9 h | 10.1 h |
B3 | 4.1 | |||||
C3 | 4.6 | |||||
40% | 96% | 7000 × 1500 (42) 4539 × 1500 (7) | A4 | 3.3 | 1.2 h 0.8 h | 12.7 h |
B4 | 4.0 | |||||
C4 | 4.5 |
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Wang, Y.; Feng, G.; Feng, Z.; Wang, Y.; Wang, X.; Luo, S.; Zhao, Y.; Lu, H. An MT-InSAR Data Partition Strategy for Sentinel-1A/B TOPS Data. Remote Sens. 2022, 14, 4562. https://doi.org/10.3390/rs14184562
Wang Y, Feng G, Feng Z, Wang Y, Wang X, Luo S, Zhao Y, Lu H. An MT-InSAR Data Partition Strategy for Sentinel-1A/B TOPS Data. Remote Sensing. 2022; 14(18):4562. https://doi.org/10.3390/rs14184562
Chicago/Turabian StyleWang, Yuexin, Guangcai Feng, Zhixiong Feng, Yuedong Wang, **uhua Wang, Shuran Luo, Yinggang Zhao, and Hao Lu. 2022. "An MT-InSAR Data Partition Strategy for Sentinel-1A/B TOPS Data" Remote Sensing 14, no. 18: 4562. https://doi.org/10.3390/rs14184562