I am running my Pix4D outputs through a classification algorithm outside of Pix4D that classifies objects based in part on the RGB values of the points that constitute them. My classification runs into problems when there are clouds casting shadows onto the objects in some of the photos-- they appear to discolour the orthomosaics and point clouds, making them darker in colour then the same object looks in full sunlight.
I am curious if anyone has found a solution to this problem before? Ideally, there would be a tool/function in Pix4D to auto-correct colours to account for clouds. But if no such thing exists, maybe someone knows if Pix4D can be calibrated to favour the brightest colour value of all of those tied to a point to choose to project in the orthomosaic/point cloud? Because in many cases there is at least one photo of a point that isn’t being shadowed by clouds and it’s RGB value would be preferable to any of the the others.
In addition, if anyone knows what function Pix4D uses to automatically decide what RGB value, of all the values in all the photos tied a point, is displayed in the associated point cloud pixel (e.g., the average of all RGB values of all photos associated with a point), that would be stellar information to have as well.
Any insights would be helpful.