Building classification

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Nawigacja:  LiMON Editor > Automatic classification > Automatic classification settings >

Building classification

Window >> Editor toolbar >> Classification settings (Automatic option) >> Building (tab)


Classification of buildings is based on pre-classified ground points. Similarly as in the case of ground classification, initial points of the building class are determined at the beginning of the process. Based on these points, further points are classified.

 

Classification settings

 

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Min Dist. To Ground [m]

Min 2D distance between building seeds and ground points

Min Building Height

The minimum height of the building expressed in meters

Building Detection Strategy

Modifies the approach to detection of building seed points. More aggressive approach results in more buildings seeds and consequently more buildings.

Building Expansion Strategy

Modifies the strategy of expanding buildings class points starting from previously detected seed points. More aggressive strategy results in more points joined to each building.

Sensitivity to Echo

Modifies the influence of return number on a building classification result. The higher this value is set points with multiple returns are less likely to by classified as buildings. Can be used to separation buildings from vegetation.

Ultra Aggressive Building Expansion

Turns off limiting building expansions by 2D ground points buffer. As a result more points representing building features having ground points beneath will be classified as buildings.

Join neighbour points

Adds unclassified points to the building class if they are closer than a distance to building points.

 

 

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Building models created on the basis of classified building points.

 

Hotkey: Edit.SettingsDialog