Research Article

A Two-Stage Optimization Strategy for Fuzzy Object-Based Analysis Using Airborne LiDAR and High-Resolution Orthophotos for Urban Road Extraction

Table 1

Selected features via PSO used for classification.

PropertyQuantifiable attributeDescription/mathematical formulation

Spectral attributesHeightnDSM
ColorSpectral bands of aerial orthophotoDigital number of blue, green, and red bands

Spatial attributesElongated shapesElongation index,
where and are the area and the perimeter of image object
Smooth objectsShape index,
where is the shape index, is the border length, and is the area of the image object
Distribution of pixels in spaceDensityCalculated by the area of the object divided by the approximated average of the major and minor axes of the ellipse fitted to the object
Rectangular shapeRectangular fitDescribes the difference between a master rectangle and the considered object using the same measure of area, width, and length for the master rectangle ( = complete fitting object, = no fit)

Textural attributesTextureGLCM-homogeneity