C# 클래스 SharpMap.Utilities.LeastSquaresTransform

Adds an input and output value pair to the collection

Return an array with the six affine transformation parameters {a,b,c,d,e,f} and the sum of the squares of the residuals (s0)

a,b defines scale vector 1 of coordinate system, d,e scale vector 2. c,f defines offset.

Converting from input (X,Y) to output coordinate system (X',Y') is done by: X' = a*X + b*Y + c, Y' = d*X + e*Y + f

Transformation based on Mikhail "Introduction to Modern Photogrammetry" p. 399-300. Extended to arbitrary number of measurements by M. Nielsen

Calculates the four helmert transformation parameters {a,b,c,d} and the sum of the squares of the residuals (s0)

a,b defines scale vector 1 of coordinate system, d,e scale vector 2. c,f defines offset.

Converting from input (X,Y) to output coordinate system (X',Y') is done by: X' = a*X + b*Y + c, Y' = -b*X + a*Y + d

This is a transformation initially based on the affine transformation but slightly simpler.

Gets the input point value at the specified index

Gets the output point value at the specified index

Initialize Least Squares transformations

Removes input and output value pair at the specified index

Sets the input point value at the specified index

Sets the output point value at the specified index

Creates an n x m matrix of doubles