v.rectify - Rectifies a vector by computing a coordinate transformation for each object in the vector based on the control points.

NAME KEYWORDS SYNOPSIS Flags: Parameters: DESCRIPTION Coordinate transformation and RMSE 2D linear affine transformation (1st order transformation) 3D linear affine transformation (1st order transformation) Polynomial Transformation Matrix (2nd, 3d order transformation) SEE ALSO AUTHOR SOURCE CODE

NAME

v.rectify − Rectifies a vector by computing a coordinate transformation for each object in the vector based on the control points.

v.rectify
v.rectify −−help
v.rectify [−3orb] input=name output=name [group=name] [points=name] [rmsfile=name] [order=integer] [separator=character] [−−overwrite] [−−help] [−−verbose] [−−quiet] [−−ui]

Flags:

−3

Perform 3D transformation

−o

Perform orthogonal 3D transformation

−r

Print RMS errors
Print RMS errors and exit without rectifying the input map

−b

Do not build topology
Advantageous when handling a large number of points

−−overwrite

Allow output files to overwrite existing files

−−help

Print usage summary

−−verbose

Verbose module output

−−quiet

Quiet module output

−−ui

Force launching GUI dialog

Parameters:

input=nameÂ [required]

Name of input vector map
Or data source for direct OGR access

output=nameÂ [required]

Name for output vector map

group=name

Name of input imagery group

points=name

Name of input file with control points

rmsfile=name

Name of output file with RMS errors (if omitted or ’−’ output to stdout

order=integer

Rectification polynomial order (1−3)
Options: 1−3
Default: 1

separator=character

Field separator for RMS report
Special characters: pipe, comma, space, tab, newline
Default: pipe

DESCRIPTION

v.rectify uses control points to calculate a 2D or 3D transformation matrix based on a first, second, or third order polynomial and then converts x,y(, z) coordinates to standard map coordinates for each object in the vector map. The result is a vector map with a transformed coordinate system (i.e., a different coordinate system than before it was rectified).

The −o flag enforces orthogonal rotation (currently for 3D only) where the axes remain orthogonal to each other, e.g. a cube with right angles remains a cube with right angles after transformation. This is not guaranteed even with affine (1st order) 3D transformation.

Great care should be taken with the placement of Ground Control Points. For 2D transformation, the control points must not lie on a line, instead 3 of the control points must form a triangle. For 3D transformation, the control points must not lie on a plane, instead 4 of the control points must form a triangular pyramid. It is recommended to investigate RMS errors and deviations of the Ground Control Points prior to transformation.

2D Ground Control Points can be identified in g.gui.gcp.

3D Ground Control Points must be provided in a text file with the points option. The 3D format is equivalent to the format for 2D ground control points with an additional third coordinate:

 x y z east north height status

where x, y, z are source coordinates, east, north, height are target coordinates and status (0 or 1) indicates whether a given point should be used. Numbers must be separated by space and must use a point (.) as decimal separator.

If no group is given, the rectified vector will be written to the current mapset. If a group is given and a target has been set for this group with i.target, the rectified vector will be written to the target project and mapset.

Coordinate transformation and RMSE

The desired order of transformation (1, 2, or 3) is selected with the order option. v.rectify will calculate the RMSE if the −r flag is given and print out statistcs in tabular format. The last row gives a summary with the first column holding the number of active points, followed by average deviations for each dimension and both forward and backward transformation and finally forward and backward overall RMSE.

2D linear affine transformation (1st order transformation)

x’ = a1 + b1 * x + c1 * y
y’ = a2 + b2 * x + c2 * y

3D linear affine transformation (1st order transformation)

x’ = a1 + b1 * x + c1 * y + d1 * z
y’ = a2 + b2 * x + c2 * y + d2 * z
z’ = a3 + b3 * x + c3 * y + d3 * z The a,b,c,d coefficients are determined by least squares regression based on the control points entered. This transformation applies scaling, translation and rotation. It is NOT a general purpose rubber−sheeting, nor is it ortho−photo rectification using a DEM, not second order polynomial, etc. It can be used if (1) you have geometrically correct data, and (2) the terrain or camera distortion effect can be ignored.

Polynomial Transformation Matrix (2nd, 3d order transformation)

v.rectify uses a first, second, or third order transformation matrix to calculate the registration coefficients. The minimum number of control points required for a 2D transformation of the selected order (represented by n) is
((n + 1) * (n + 2) / 2) or 3, 6, and 10 respectively. For a 3D transformation of first, second, or third order, the minimum number of required control points is 4, 10, and 20, respectively. It is strongly recommended that more than the minimum number of points be identified to allow for an overly−determined transformation calculation which will generate the Root Mean Square (RMS) error values for each included point. The polynomial equations are determined using a modified Gaussian elimination method.

AUTHOR

Markus Metz

based on i.rectify

SOURCE CODE

Available at: v.rectify source code (history)

Latest change: Wednesday Nov 27 22:53:26 2024 in commit: b90ce69e88409469369ec1edb86fde8ec822af8b

Updated 2026-06-01 - jenkler.se | uex.se