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.]]
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

Trees detected with Inference Overlay.

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

File:Inference foliage animated
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 Max Overlay. For more information, see this how-to.