Inference Overlay: Difference between revisions

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[[File:Treesmask.jpg|thumb|right|Trees detected with Inference Overlay.]]
[[File:Treesmask.jpg|thumb|right|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 [[Stride fraction (Inference Overlay)|configurable stride]].  
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 [[Stride fraction (Inference Overlay)|configurable stride]].  


==Foliage Example==
==Foliage Example==
[[File:inference_foliage_animated.gif|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 [[Digital Terrain Model Overlay]] (DTM), a [[WCS Overlay|WCS Overlay]] representing the [[DSM]], [[Combo Overlay]] to combine these and an optionally an iterative [[Avg & interpolation (overlay)|Max Overlay]] to enhance the foliage height. For more information, see this [[How to create foliage height areas from an inference overlay|how-to]].
<gallery widths="200">
<gallery widths="200">
foliage_inference_labels.jpg|Labeled features on 0.1m satellite image
foliage_inference_labels.jpg|Labeled features on 0.1m satellite image

Revision as of 14:55, 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

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 Digital Terrain Model Overlay (DTM), a WCS Overlay representing the DSM, Combo Overlay to combine these and an optionally an iterative Max Overlay to enhance the foliage height. For more information, see this how-to.