Dataset
Please see AutofocusSAR github or AutofocusSAR webpage for more details.
ALOS PALSAR
Obtain RAW SAR data
Nine RAW SAR images (L1.0) are acquired from https://asf.alaska.edu/. The data can be easily obtained by searching the scene name (ALPSRP020160970, ALPSRP054200670, ALPSRP103336310, ALPSRP110940620, ALPSRP115120970, ALPSRP268560540, ALPSRP269950430, ALPSRP273680670, ALPSRP278552780) in https://search.asf.alaska.edu/. The worldmaps of these images are illustrated as follows:
 Vancouver, ALPSRP020160970 |
 Xian, ALPSRP054200670 |
 Hawarden, ALPSRP103336310 |
 Hefei, ALPSRP110940620 |
 Langley, ALPSRP115120970 |
 Florida, ALPSRP268560540 |
 Kaliganj, ALPSRP269950430 |
 SimiValley, ALPSRP273680670 |
 Toledo, ALPSRP278552780 |
Making Dataset
The download nine sar raw images are imaged by Range Doppler Algorithm (RDA). Since the orignal image is very large, sub-region with size of $8192×8192$ is selected for each image. The selected regions are shown as follows:
 Vancouver, ALPSRP020160970 |
 Xian, ALPSRP054200670 |
 Hawarden, ALPSRP103336310 |
 Hefei, ALPSRP110940620 |
 Langley, ALPSRP115120970 |
 Florida, ALPSRP268560540 |
 Kaliganj, ALPSRP269950430 |
 SimiValley, ALPSRP273680670 |
 Toledo, ALPSRP278552780 |
Table3: Information of selected regions.
| Number | Scence name | Area | Lefttop pixel index | Effective velocity(m/s) | PRF(Hz) |
|---|---|---|---|---|---|
| 1 | ALPSRP020160970 | Vancouver | (10000, 3600) | 7153 | 1912.0459 |
| 2 | ALPSRP054200670 | Xi’an | (16000, 1000) | 7185 | 2159.8272 |
| 3 | ALPSRP103336310 | Hawarden | (10000, 1000) | 7211 | 2105.2632 |
| 4 | ALPSRP110940620 | Hefei | (18000, 1000) | 7188 | 2145.9227 |
| 5 | ALPSRP115120970 | Langley | (10000, 2100) | 7174 | 2155.1724 |
| 6 | ALPSRP268560540 | Florida | (3000, 2000) | 7190 | 2159.8272 |
| 7 | ALPSRP269950430 | Kaliganj | (18000, 1000) | 7195 | 2159.8272 |
| 8 | ALPSRP273680670 | SimiValley | (15000, 2000) | 7185 | 2155.1724 |
| 9 | ALPSRP278552780 | Toledo | (15000, 1000) | 7178 | 2141.3276 |
To make defocused data, different effective velocities are applied to compute the matched filter in azimuth when executing the range-Doppler algorithm. Image patches with size 256×256 are selected from the above sub-regions to create the final dataset. Please see our paper for details. The final dataset can be downloaded from MEGA part1 (part1), MEGA part2 or BaiduYunPan all parts (accessed on 13 August 2021), the extraction code is d7fk.
Citation
If you find the dataset is useful, please kindly cite our paper and star our pakcage AutofocusSAR on GitHub:
@article{Liu2021Fast,
title={Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning Machine},
author={Liu, Zhi and Yang, Shuyuan and Feng, Zhixi and Gao, Quanwei and Wang, Min},
journal={Remote Sensing},
volume={13},
number={14},
pages={2683},
year={2021},
publisher={Multidisciplinary Digital Publishing Institute},
doi={https://doi.org/10.3390/rs13142683}
}