Inference Overlay: Difference between revisions
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==Foliage Example== | ==Foliage Example== | ||
[[File:inference_foliage_animated|frame|right|Animation of inference with a moving window and Bounding Box detection.]] | [[File:inference_foliage_animated.gif|frame|right|Animation of inference with a moving window and Bounding Box detection.]] | ||
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 [[Avg & interpolation (overlay)|Max Overlay]]. For more information, see this [[How to create foliage height areas from an inference overlay|how-to]]. | 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 [[Avg & interpolation (overlay)|Max Overlay]]. For more information, see this [[How to create foliage height areas from an inference overlay|how-to]]. | ||
<gallery widths="200"> | <gallery widths="200"> |
Revision as of 09:01, 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.
How-to's
- 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