v.lidar.growing - Building contour determination and Region Growing algorithm for determining the building inside
KEYWORDS
vector, LIDAR
SYNOPSIS
v.lidar.growing v.lidar.growing help v.lidar.growinginput=nameoutput=nameinput_first=name [database=string] [driver=string] [tj=float] [td=float] [--overwrite]
Flags:
--overwrite
Force overwrite of output files
Parameters:
input=name
Name of input vector map
output=name
Name for output vector map
input_first=name
Name of the first pulse vector map
database=string
Database name
driver=string
Driver name
Options: pg,dbf,ogr,odbc,mysql,sqlite
tj=float
Threshold for cell object frequency in region growing
Default: 0.2
td=float
Threshold for double pulse in region growing
Default: 0.6
DESCRIPTION
v.lidar.growing is the second of three step to filter LIDAR
data. It identifies which is the internal area of every object on a
LIDAR point surface. The input data is the output result of the
v.lidar.correction module. It is based on the hypothesis that
inside the object the heights are, in general, higher than on the
contour. The output will be a vector map which points are
pre-classified as TERRAIN SINGLE PULSE, TERRAIN DOUBLE PULSE, OBJECT
SINGLE PULSE or OBJECT DOUBLE PULSE. The input of this module should
be the output of v.lidar.edgedetection module, and the output
of this module will be the input of v.lidar.correction
module.
NOTES
The final result of the whole procedure (v.lidar.edgedetection,
v.lidar.growing, v.lidar.correction) will be a point classification in
four categories:
TERRAIN SINGLE PULSE
TERRAIN DOUBLE PULSE
OBJECT SINGLE PULSE
OBJECT DOUBLE PULSE