I am playing around with infrared images and WebODM. I want to get an orthophoto and find the “best” set of parameters so that the quality is as good as possible. Of course the quality depends on the data aquisition process, but I want to understand how the orthophoto generation can be influenced and what processing step and parameters are relevant.
As ODM provides a ton of parameters for various processing steps, how can I find out what parameters have an impact on the orthophoto generation. Images are taken using a DJI drone and the ZH20T camera system. No GCP. I have no memory issue so far.
From that orthophoto I want to detect objects (photovoltaic modules) and extract their GPS coordinates.
The parameters I use for the moment are:
auto-boundary: true, dem-resolution: 5, dsm: true, fast-orthophoto: true, feature-quality: ultra, gps-accuracy: 10, matcher-neighbors: 20, min-num-features: 40000, orthophoto-resolution: 1, pc-filter: 0, pc-geometric: true, pc-quality: ultra, rerun-from: dataset
How can I determine
Do I need to consider DEM and DSM parameters for the orthophoto?
Results of my experiments: