I am processing aerial photos collected with an automated drone flight into orthomosaics and DSMs, and have noticed the quality of outputs produced in PhotoScan is much higher than those produced in ArcGIS Pro. DSM's produced in ArcGIS Pro have lower surface detail, more noise, and lose significant portions of the target area around the edges of the mosaic dataset.
The process in PhotoScan is fairly automated-- all you have to do is align photos, generate a point cloud, and generate a DSM. ArcGIS Pro provides many more geoprocessing options at every step of the OrthoMapping process, and I've tried nearly all of them. The outputs shown below are the best I've been able to squeeze out of it so far, and were created with the OrthoMapping DEM Wizard using Enhanced Semiglobal Matching, IDW interpolation, no smoothing, and a pixel size equal to 1xGSD (1 cm). Results with other matching methods (Extended Terrain Matching or Semiglobal Matching) and interpolation methods (TIN linear or TIN nearest neighbor) are noticeably poorer. Adding smoothing also doesn't seem to reduce surface noise, discards more real data than is desirable, and results in holes in the finished DSM.
There are many tie points distributed evenly across the entire area (not shown), and the point cloud generated by ArcGIS Pro has 2 million points, which is actually denser than the point cloud produced with PhotoScan. So I don't know why Pro is cutting off parts of the dataset and providing less detail in the areas it keeps.
Are there any parameters that I can change in ArcGIS Pro to improve the quality of the results? If possible, I'd like to stick with Pro-- we already have full ESRI licenses. I'm currently using a 30 day trial of PhotoScan, and would prefer to avoid having to purchase a license for a separate program. On a more practical level, I also appreciate that processing steps in Pro are less of a black box.
Here is the orthomosaic with photo locations (yellow points), flight legs (orange lines), and ground control points (red crosses):
Here is the hillshaded DSM from Photoscan:
Here is the hillshaded DSM from ArcGIS Pro. At this scale, it is easy to see that ArcGIS Pro is discarding data around the edges of the dataset:
Closeup of PhotoScan hillshaded DSM. Just to give you a sense of scale, the lines in the image are individual plow furrows. If you zoom in a little more, detail remains crisp (e.g., tread marks from combine tires are visible):
Closeup of ArcGIS hillshaded DSM. Note the lower level of detail and greater surface noise: