A long, one line corridor project without image geolocation but with GCPs has big errors on the edges.
Corridor projects are, in general, more prone to inaccuracies, especially if there is only one line of flight and no image geolocation. There might be big errors on the edges of the project.
If there is a weak area in the project (e.g. low overlap, low image content etc.), the error will increase as diverging from the break point. GCPs may not manage to adjust the project correctly.
|Figure 1. Break point in corridor mapping|
For such projects, the error of the GCPs will increase when diverging from the break point, whereas the relative reconstruction may not be impaired.
Corridor mapping datasets should consist of at least 2 lines of flight with high overlap: 202557459.
It is also recommended to have image geolocation. It is highly recommended to have GCPs well distributed in the model: 202559299.
Such corridor projects can achieve good results.
Split the project into sub projects and process separately. Shorter projects are easier to adjust to the GCPs and a break point will have much smaller effect. If the project has image geolocation, it is possible to use the option Split into Subprojects: 204217299.
1. Split the project into sub projects. Make sure to include some common images in consecutive sub projects in order to ensure that there is common area between sub projects.
|Figure2. Split project|
2. Process step 1. Initial Processing for each sub project separately.
3. Mark at least three common MTPs / GCPs between each consecutive sub projects and reoptimize. More information: 202560349.
4. Merge the sub projects including the GCPs: 202560239. More information: 202558529.