###Introduction
SWJTU-OPT-SAR is a sufficiently annotated high-resolution remote sensing dataset for land use classification, which combines high-resolution RGB optical images with SAR images at a resolution of 0.5 meters.
###Details SWJTU-OPT-SAR uses high-resolution optical and SAR images from Google Earth L18 products imaged during 2010/10/21-2016/8/25 with a spatial resolution of 0.5 m.
It contains 2231 pairs of images of the same area with a size of 256×256. The dataset contains two study areas, one covers an area in the longitude range of 122.836°E-122.869°E and the latitude range of 45.105°N-45.133°N, and the other with a longitude range of 110.135°E-110.160°E and latitude range of 34.593°N-34.626°N,which covering a wide range of different terrain and vegetation.The location of the study area is shown on the map below.
The images in the dataset are fully labeled with pixel-level categories, including background, bare ground, vegetation, trees, houses, water, roads, and others, where the label values and category percentages are shown in the table below.
| Label | Name | Percent(%) |
|---|---|---|
| 0 | background | 2.26 |
| 1 | bare ground | 55.84 |
| 2 | low vegetation | 26.55 |
| 3 | trees | 5.29 |
| 4 | houses | 4.39 |
| 5 | water | 1.69 |
| 6 | roads | 3.88 |
| 7 | other | 0.11 |
##Dataset Organization The dataset are organized as:
├─SWJTU-OPT-SAR dataset
│ ├─label
│ │ ├─1
│ │ │ 1.png
│ │ │ ……
│ │ ├─10
│ │ ├─11
│ │ ├─……
│ │ ├─HY_C
│ │ └─HY_D
│ ├─optical
│ │ ├─1
│ │ ├─10
│ │ ├─11
│ │ ├─……
│ │ ├─HY_C
│ │ └─HY_D
│ └─sar
│ ├─1
│ ├─10
│ ├─11
│ ├─……
│ ├─HY_C
│ └─HY_D
###Examples of Annotated Images
The optical images and SAR images of some typical features in the SWJTU-OPT-SAR dataset with the corresponding annotation results are shown below.
###Contact If you encounter any problem in using SWJTU-OPT-SAR dataset or have any feedback, please contact:
- Ye Yuanxin : yeyuanxin@home.swjtu.edu.cn
- Wei Kan : 1196581377@qq.com
###Source Dataset Dataset is avaliable:
Onedrive: https://1drv.ms/u/s!Aoqb185R1UPpgw7xhN4eO607rCPI?e=JFo4c8
BaiduYun: https://pan.baidu.com/s/1PnRq8Rpp37RTj9p14nZMiQ password:w4x3