Inference Overlay: Difference between revisions
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* [[How to detect foliage using an Inference Overlay]] | * [[How to detect foliage using an Inference Overlay]] | ||
* [[How to create foliage height areas | * [[How to create foliage height areas based on an Inference Overlay]] | ||
* [[How to import trees based on an Inference Overlay]] | * [[How to import trees based on an Inference Overlay]] | ||
* [[How to use the Inference Overlay to detect and add solar panels to buildings based on a Satellite Overlay]] | * [[How to use the Inference Overlay to detect and add solar panels to buildings based on a Satellite Overlay]] | ||
Revision as of 14:31, 15 October 2024
The AI Inference Overlay is a Grid Overlay which can spatially identify features using one or more Prequel Grids. Features are identified using a Convolution Neural Network. This neural network takes a subsection (window) of the input grid and either classifies or detects one or more objects in that window. The window of detection marches over the input grid with a configurable stride.
Foliage Example
Using a Satellite Overlay of 0.1m detail, foliage features can be identified using an Inference Overlay and enhanced with a DTM, DSM, Combo Overlay to combine these and an optional iterative Max Overlay. For more information, see this how-to.
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Labeled features on 0.1m satellite image -
Label Scores -
Pixel Masks -
Bounding Boxes -
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Max neighboring height within 0.25m, iterated 5 times
How-to's
- How to detect foliage using an Inference Overlay
- How to create foliage height areas based on an Inference Overlay
- How to import trees based on an Inference Overlay
- How to use the Inference Overlay to detect and add solar panels to buildings based on a Satellite Overlay
See also
