After watching far too many videos on Metashape, this is the best I've found. Thank you, Kelly, for an extremely detailed, nuanced and real-world overview. Much different from others that are more superficial and do not appear to have the same real-world hands-on experience that you possess.
Contents: 0:20 Configure the screen to "classic" 1:00 Add photos 1:25 Convert coordinates from WGS84 to a projected coordinate system 3:25 Import GCPs 3:30 Align Photos 5:20 Change navigation to "terrain mode" 7:00 Match GCPs 8:55 Update and optimize 10:10 Change units to US Foot 10:30 Filter photos by point - Big time saver!!! 12:00 Dense Cloud 13:30 View by Point Cloud Confidence 15:20 Manually Classify Ground Points 16:25 Build mesh with classified points 17:50 Export mesh 18:46 Thanks!
Nice Tutorial. I am a Texas RPLS with lots of Lidar & aerial mapping experience. Working on integrating Agisoft & UAV work flows and really appreciate your channel.
I am a surveying student at UMaine, and would really appreciate it if you posted the data so I could practice. Seriously thank you for posting the content that you do, I want to get into photogrammetry and LiDAR and it helps!
Thanks for making this helpful video! 9:20 in the Optimize Camera Alignment box what are all those options. When I got to that point several were pre-selected but I don't know what they mean or if I should keep them selected. Is it important to clean up the sparse cloud with the gradual selection tool? Would we do that before adding markers or after? Thanks!
Great video. I wonder why didn't you use automatic marker detection? I think i saw that in some of your videos. Where you do automatic marker detection, rename points and than import points with coordinates.
Thanks. I wanted to show the manual way to assign the GCPs in this video. Honestly, automatic detection rarely works on my projects, except for very low flights/large targets. Glad you liked the video.
It's been my understanding that filter by confidence only displays the results of filtering but doesn't remove the low confidence points.. To remove the low confidence points we need to select and delete them before proceeding with the workflow. Now I need to do more research...
Great videos I'm new to this how do you get it to take the grid of photos do you need a flight path then are u putting ground points out with a gps kit cheers. I'm guessing you need a really expensive drone to do this
Processing locally. I have a i7 desktop SSD drive, 32gb ram and a GTX1080. It works great, but I'm sure the newer stuff would be much faster! i9 RTX2080...
with that big altitude errors between cameras and GCPs, should you uncheck cameras during optimization process? i was told since photoscan that they should be unchecked prior optimization, if non RTK drone is used, to avoid vertical incorrect reference information
Any tips on classification of points? I see Metashape has an automatic classification option that would certainly help get down to bare ground if it works well. Thanks!
