This repository is an implementation of space intersection, which can get the position of an object point with given information. The necessary information include:

• focal length [mm]
• image coordinates [mm]
• exterior orientation parameters of more than two photos with overlap area [m] [deg]

First, create an input file. The format of an input file must like:

<f>
<Photo-Name> <x1> <y1> <XL1> <YL1> <ZL1> <Omega1> <Phi1> <Kappa1> <XL1-Err> <YL1-Err> <ZL1-Err> <OmegaL1-Err> <PhiL1-Err> <KappaL1-Err>
<Photo-Name> <x2> <y2> <XL2> <YL2> <ZL2> <Omega2> <Phi2> <Kappa2> <XL2-Err> <YL2-Err> <ZL2-Err> <OmegaL2-Err> <PhiL2-Err> <KappaL2-Err>
<Photo-Name> <x3> <y3> <XL3> <YL3> <ZL3> <Omega3> <Phi3> <Kappa3> <XL3-Err> <YL3-Err> <ZL3-Err> <OmegaL3-Err> <PhiL3-Err> <KappaL3-Err>

<f> is focal length of camera.
<x*> <y*> stands for the image coordinates of target point.
<XL*> <YL*> <ZL*> <Omega*> <Phi*> <Kappa*> are the exterior orientation parameters.
Since the exterior orientation parameters are treated as observables with uncertainty, so they must have errors <XL*-Err> <YL*-Err> <ZL*-Err> <Omega*-Err> <Phi*-Err> <Kappa*-Err>.

Then you can just call ./spaceIntersection.py -i <input file> to start the computation.
You can also type ./spaceIntersection.py -h for more information about this repository.
There are already two input files serve as an example.

Python v2.7.X with the following modules to be installed.

-Numpy
-Sympy
-Pandas