Introduction
Aerial imagery can be processed and used in many different
ways for many different reasons. The broader view and different vantage points
of aerial imagery are huge benefits for many different reasons. Equipment that
utilizes aerial imagery can be in the form of a balloon, kite, UAS, or rocket.
The class used to of the former ways, the UAS and balloon, to view and process
aerial imagery. Many preparations go into aerial imagery including using
cameras, GPSs and other technical equipment. The class got to go outside and
test the equipment at the Eau Claire Soccer Fields. This blog is two-fold. The
first part is focused on image taking, processing, and the mosaic method. While
the second half is a UAS mission pre-planning and flight.
Study Area
The Eau Claire Soccer Fields are located approximately 1
mile south of UW-EC campus. The fields are a large open area near residential
housing and the Eau Claire Indoor Sports Center. The openness of this area
allows for great flying. The area was suitable for the balloon because it had a
great range of motion and could fly very high (500 ft). This ability to fly
high allowed for a larger area to be captured. For the UAS the openness of the
area allowed for easy maneuvering and easily accessible control points.
Methods
The balloon was a simple large rubber helium balloon
attached to a string with a picavet rig. The picavet rig is attached to the
string and is where the camera and GPS are attached. Two cameras were attached
to the picavet rig, these were a Canon Sx260 and a Canon Elf. The reason for 2
cameras is to get as many shots as possible and see the difference that multiple
mediums take in the same area. The GPS was attached to know where the location
was for the future process of mosaicing. Once all the equipment was set up the
balloon was then lifted into the air at preplanned height of 500 feet. The
class then walked around the field to capture multiple images. The route that
the class walked was made to utilize the largest area so that many images could
be captured. The route was made for minimal overlap, but some overlap is good.
Hundreds of images were collected for mosaicing.
After the fieldwork was all done image mosaicing had to take
place. Image mosaicing is basically stitching images together to make one large
image. This is where hundreds of images come in handy as well as overlapping of
images.
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Figure 1: The balloon before take off. This shows a size reference for the balloon. |
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Figure 2: The two cameras and the GPS mounted on the picavet rig |
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Figure 3: The balloon ascending into the air |
PhotoScan
To create mosaiced images in Photoscan add the photos you
want under the Workflow tab. After
adding the photos go back to Workflow
and select Align Photos. This
alignment of photos creates Point Cloud which are points of the photos. After
the alignment select Build Mesh from Workflow. The mesh will create a TIN
which is a Triangular Integrated Network. This means that triangles are created
from points to create pieces of an image. In tabs click Texture. To export the image to use in other program click Export Orthophoto. The best option is to
save it as a TIFF. After the TIFF is saved and exported open ArcMap. This step
is needed only if the image is not geotagged. To geotag the image open Geoprocessing. Open an image of Eau
Claire that has been geotagged. Click Viewer
which is the magnifying glass this opens a spate view with the area that is not
georeferenced. Adding control points to the image will help geotag. To get the
track log another software program is used. This is Geosetter. Geosetter will
help create GPS points and rectify the image.
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Figure 4: An image mosaiced together in Photoscan. As one can see the area is quite large |
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Figure 5: Another mosaiced image from Photoscan |
UAS Methods
There are many pre-planning methods that go into UAS use. If
any step is missed the whole operation could be a mess. Tests should be ran
before the UAS start up. This includes
waiting for a GPS connection and a connection between the UAS and software that
is used to fly. The software the Professor Joe Hupy uses is Mission Planner.
Mission Planner is freeware that can be used by anyone. Connection to Mission
Planner from the UAS is signified by a green light on the software. No less
than 3 people should run a UAS mission. The 3 members ideally should be a pilot
who manually controls the UAS, a pilot at the computer, and an engineer that
knows all the software. One should first know the topography of the land before
flying as to best map out a flight plan.
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Figure 6: Professor Hupy using the Mission Planner software prior to UAS launch |
For Mission Planner there is a grid of points. These points
are referred to as waypoints and are number in sequence. The first point is home
and the UAS will return home when it has hit all the points. If the UAS is at
60% and is not close to home the pilot should force the UAS to go home. Once
the UAS lands the pilot disarms the UAS and makes sure that everything is off. Professor
Hupy’s Y6 rotocopter has a flight time of roughly 15-20 minutes. The area that
was chosen had a flight plan less than that so no issues arose.
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Figure 7: Professor Hupy's Y6 rotocopter prior to flight. Next to the copter is the controller |
Discussion
UAS and other alternative aerial imagery processes have many
positives and UAS definitely looks to be the future of aerial imagery and
remote sensing. With UAS the cost is cut down and the areas acan be explored
more broadly. The alternative of UAS is a booming industry and can be used for anything
from police work to agriculture.
Conclusion
UAS removes the human element and allows for a more
expansive area of work. The camera does not have to be that advanced on any
form of aerial imagery but to think of the future of camera resolution it is
amazing. UAS work is more expansive than the current alternatives of balloons,
kites, and rockets. The future is very bright with these advancements.