Building Detection Filter
Detects buildings from 2 SAR images.
Building Detection Filter detects newly built buildings with two time-different SAR images from Sentinel-1.
Automatic change detection on SAR images has been a very difficult task because of its noisy structures. This block uses a deep learning algorithm to achieve overwhelming performances on SAR images.
- Sentinel-1 L1C (GeoTIFF) -> SAR Building Detection Filter
Important: Please note that the input data block Sentinel-1 L1C (GeoTIFF) is currently not available, which affects the usage of this block. An alternative workflow based on Sentinel-1 L1C (SAFE) will be supported soon.
|Supported Input Data||Sentinel 1 L1C (GeoTIFF)|
|Input parameters||Set |
|Resolution||identical to the input|
|Performance||Prediction Accuracy: 0.99 / IoU: 0.35. This algorithm is optimized for detecting large buildings and aggregated residential housings. In some cases, changes on crop fields are detected, which will be improved in the next version.|
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