VIDEO 5: Pix4D Demonstration
Hi, in this video, I’m going to give a very brief overview of Pix 4d mapper that can be using in conjunction with our separate UAV products starting with geo-tagged images—however non-geo-tagged images can still be processed with this software as well.
Geo-tagging images is possible through our included ground station control software by matching flight log data with photo image data. It can also be done using PIX 4D alone in the same manner of tagging images with flight log data.
For this video, I am going to start with already geo-tagged images to demonstrate how easy it is to get started with this great piece of software to create DEMs, orthomaps, and more.
So the first thing you are going to want to do is start a new project.
When you do this, a few different options will be available to you, however we are going to stick with the default ‘aerial’ choice here and name our project ‘Crops,’ and click next.
From there, we are going to want to add images from our flight, and as you can see here, there are again some other various options to choose from.
We have ‘near infrared’ and ‘RGB’ to pick from, so you will want to choose what would apply to you and would depend on which of our payloads you had flown with at the time.
If you have captured near infrared images using our Tetracam payload, you’re going to want to choose that option, but for this video, we’re simply aligning and processing geo-tagged photos from one of our RGB camera payloads.
Moving forward, we are going to go ahead and click ‘add images’ and navigate to the relevant folder that has the geo-tagged images from the last flight that we have saved.
We’re going to select all and click open to choose our entire set of images.
As you can see, all of our images have been selected, so we’ll go ahead and click next.
From there, we have an overview of what the program had noticed about our images—it can tell us that there is geo-location data for 34 out of the 35 images that we have uploaded, and one image that, for whatever reason could not be geo-tagged.
This program knows which camera model was used for capturing our images and has some information about that particular camera listed when it goes to process the photos for us—since Ricoh is displayed, we know the Zephyr 2 was used for this flight.
You can see the one image that does not have the geo-tagged information listed can be selected that and excluded, but for the ones that do have the geo-tagging information listed, we can examine the latitude, longitude, and altitude for each image—confirming our EXIF data to be correctly uploaded to the program.
Lining up these geo-tagged photos will be very simple for the program—again, the software can align photos without the information having been geo-tagged by using the image shadowing itself, however, data accuracy and time in processing will be less ideal vs using images with their geo-tagged information included.
So to move forward processing our photos, we’re just going to click finish, and, ultimately, you will be able to preview your processed photos in Google Earth as well as using them to perform a variety of other functions.
To learn more about using this program, I recommend reading through the PIX 4D software documentation that explains very well the process of going through and aligning photos to create point maps for orthomap generation and DEMs, as well as to export geo referenced image files to kml or geotif format.
A link to the PIX 4D documentation is on this same page.
If you have any questions, feel free to contact us through email or phone and we’d be happy to help!
Thanks for watching and happy flying!