How to detect solar panels using an Inference Overlay
Revision as of 14:59, 16 October 2024 by Frank@tygron.nl (talk | contribs)
How to detect solar panels based on an Inference Overlay:
- First add a Satellite Overlay. This will be used as input for the Inference Overlay.
- Add an Inference Overlay
- With the Inference Overlay added and selected, click on the wizard button in the Overlay's detail panel
- Once the wizard is ready, click next
- In the Select Model step, click on the Select button to open the neural network selection panel.
- In the selection panel, select the Neural Network named solar_panel.onnx and click next to advance the wizard.
- In the Input Tensors step, verify that multiple input tensors are recognized and click next. These should be correctly configured.
- In the Input prequels step, select the Input Prequel 'A', and under Overlay, select the Satellite Overlay. Click next.
- In the Output Tensors step, verify that output tensors are present, click next.
- In the Settings step, verify that the Score Threshold is around 0.2. This will lower the threshold to accept identified solar panels.
- In the Settings step, verify that the Mask Threshold is around 0.90. This will raise the threshold to include pixels of identified solar panels.
- Verify that the Inference Mode is set to BBOX_DETECTION and click next.
- In the Overlays step, select all result overlay types and click finish.
- Inference wizard solar neural network.jpg
Select the Foliage Neural Network.
- Inference wizard solar input tensors.jpg
Verify the existence of input tensors.
- Inference wizard solar input prequel.jpg
Select Satellite Overlay for prequel A.
- Inference wizard solar output tensors.jpg
Verify the existence of output tensors.
- Inference wizard solar settings.jpg
Default settings should identify solar panels, but can be tweaked.
Add all result overlays.
Labeled features on 0.1m satellite image after calculation.
