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Simulated InSAR building dataset for CVCMFF Net
- Citation Author(s):
-
JiankunChen
- Submitted by:
- Jiankun Chen
- Last updated:
- Tue, 05/17/2022 - 22:18
- DOI:
- 10.21227/2csm-3723
- Data Format:
- Research Article Link:
- License:
680 Views- Categories:
- Keywords:
Abstract
The simulated InSAR building dataset contains 312 simulated SAR image pairs generated from 39 different building models. Each building model is simulated at 8 viewing-angles. The sample number is 216 of the train set and is 96 of the test set. Each simulated InSAR sample contains three channels: master SAR image, slave SAR image, and interferometric phase image. This dataset serves the CVCMFF Net for building semantic segmentation of InSAR images.
1. The simulated InSAR building dataset contains 312 simulated SAR image pairs generated from 39 different building models. Each building model is simulated at 8 viewing-angles. The sample number is 216 of the train set and is 96 of the test set. Each simulated InSAR sample contains three channels: master SAR image, slave SAR image, and interferometric phase image.
2. In the data set, the complex-valued SAR images are divided into real channel images and imaginary channel images, which are stored separately. Then, they will be recombined into complex-valued in the CVCMFF Net.
3. Value of all the image pixel is normalized to 0 ~ 255.
4. For one sample, image names of different channels are the same and consistent with the naming of the ground truth label.
5. Configuration of the ground truth label is: 0 = shadow; 1 = ground or single scattering; 2 = layover or secondary scattering.
Dataset Files
- Data.part1.zip (20.00 MB)
- Data.part2.zip (20.00 MB)
- Data.part3.zip (20.00 MB)
- Data.part4.zip (20.00 MB)
- Data.part5.zip (20.00 MB)
- Data.part6.zip (20.00 MB)
- Data.part7.zip (14.51 MB)
Documentation
| Attachment | Size |
|---|---|
 README.md | 1.57 KB |
