How to detect foliage using an Inference Overlay

Editor → Current Situation (Ribbon tab) → Overlays (Ribbon bar)

How to detect foliage based on an Inference Overlay:

1. First add a Satellite Overlay. This will be used as input for the Inference Overlay.
2. Add an Inference Overlay
3. With the Inference Overlay added and selected, click on the wizard button in the Overlay's detail panel
4. Once the wizard is ready, click next
5. In the Select Model step, click on the Select button to open the neural network selection panel.
6. In the selection panel, select the Neural Network named foliage.onnx and click next to advance the wizard.
7. In the Input Tensors step, verify that multiple input tensors are recognized and click next. These should be correctly configured.
8. In the Input prequels step, select the Input Prequel 'A', and under Overlay, select the Satellite Overlay. Click next.
9. In the Output Tensors step, verify that output tensors are present, click next.
10. In the Settings step, verify that the Score Threshold is around 0.3. This will lower the threshold to accept identified trees.
11. In the Settings step, verify that the Mask Threshold is around 0.95. This will raise the threshold to include pixels of identified trees.
12. Verify that the Inference Mode is set to BBOX_DETECTION and click next.
13. In the Overlays step, select all result overlay types and click finish.

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  Select the Foliage Neural Network.

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  Verify the existence of input tensors.

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  Select Satellite Overlay for prequel A.

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  Verify the existence of output tensors.

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  Default settings should identify foliage, but can be tweaked.

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  Add all result overlays.

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  Labeled features on 0.1m satellite image after calculation.

Notes

• The detected foliage overlay can be used to import as trees or foliage areas into your project.

How-to's

• How to import trees based on an Inference Overlay
• How to create foliage height areas based on an Inference Overlay