Inference Overlay

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.

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  Labeled features on 0.1m satellite image

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  Label Scores

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  Pixel Masks

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  Bounding Boxes

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  DSM subtracted by DTM on identified features

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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 based on an Inference Overlay
• How to import trees based on an Inference Overlay
• How to detect solar panels using an Inference Overlay
• How to update Buildings's solar panel attribute based on an Inference Overlay

See also

• Model attributes (Inference Overlay)
• Neural Network
• ONNX
• PyTorch

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Inference Overlay

Inference Overlay

Tutorials

Overview

Theory

Benchmarks

Group

Model attributes

Inference

Neural Network • Input tensor • Output tensor

Model attributes

Bbox overlap • Inference mode • Mask threshold • Score threshold • Stride fraction

Prequels

A • B

Result types

Boxes • Labels • Masks • Scores • Debug gt instances

Neural Networks

Foliage • Solar panels

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Overlays

Categorization

Grid • Parent • Result Child • Result Parent • Result type

Default

City

Administrative

Ownership • Ownership Grid • Zipcodes • Zoning • Neighborhoods • Municipalities • Vacancy

Environmental

Heat Stress • Traffic Density • Traffic Noise • Traffic NO2 • Livability

Water

Rainfall • Flooding • Groundwater • Subsidence • Watershed

Grid Calculation

Average • Combo • Distance • Sight Distance • Travel Distance • Inference • Iteration

Geo Data

GeoTIFF • WCS • WMS • Image • Area • Attribute • Function

Topography

Satellite • Digital Surface Model • Digital Terrain Model • Underground • Source

Network

Network Distance • Network Overview • Network Ownership