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Replicas of world - a reality soon

Kenneth Smillie
Sales Director, Airborne Sensors
EMEA & Asia
Leica Geosystems AG,
kenneth.smillie@leica-geosystems.com
If Antoine de Saint-Exupéry was to be believed, our
"task is not to foresee the future, but to enable it"
(La Citadelle, 1948). As a manufacturer of airborne
sensors, Leica Geosystems has a goal to enable LiDAR
technologies of the future creation.
That apart, it also ensures that its commercialisation and
advantages flow via the many aerial survey providers to the
wider user community for value creation in each user's field.
Some of what the service provider wants or needs are relatively
predictable; efficiency, productivity and return on
investment. However, for the end-user, it is clear we need to
envision and create spatial information that adds value to
any foreseeable situation or decision making process.
The driver of LiDAR has until now been an ever increasing
'need for speed' in terms of pulse and scan rates (depending
on the technology used) and this trend will certainly continue
in the near future. Efficiency, measureable in cost per
data point, is crucial in LiDAR data capture [Fig. 1]. Lower
cost per point leads to new and market broadening applications,
and more points 'purchased', more often, by the market
as a whole. Cost reductions and productivity improvements
via 'black-box' distributed processing on-board relatively
small aircraft, including data filtering and 'hands-off'
editing, will soon allow niche applications to buy the data
required.
On-board processing begins to address our impatience as a
consumer. Geospatial data has become a commodity and
our paying customer expects commodities to be universally
available on-demand. Happily, small area, highly timedependent
data acquisition can be beneficial for the consumer
and provider. The value of data is higher the quicker
it is provided, and decays in price relatively rapidly.
Highly temporal data can, to some extent, be forgiven
some imprecision; but, extremely high density, highly accurate
data will also be in demand. Terrestrial LiDAR data, be it
mobile or static, can achieve centimetre and sub-centimetre
levels. Aerially captured LiDAR points will continue to
improve in achievable and repeatable accuracies over large
areas. Mass LiDAR points with imagery overlay, or even
LiDAR imagery by itself, from ground or airborne capture
systems will create incredibly precise virtual replicas of the
world [Fig. 2]. And that replica, whilst feeding growing
demand, is also more easily understandable and digestible
by the consumer market.
As airborne LiDAR and its accuracy is dependent on GNSS
and IMU technologies, it is probable that differential GPS
(DGPS), GNSS systems approaching 120 channels of
GPS/Glonass/Galileo and Compass signals will appear. Also,
GNSS/IMU tightly coupled solutions will further assist accuracies,
with the added benefits of near instantaneous initialisation
or re-acquisition, slightly improved accuracies and longer RTK baseline resolution. We have been fortunate as a
manufacturer to see the number of terrestrial and aerial
LiDAR sales grow at dizzying rates. Indeed, we believe that
the rate at which airborne LiDAR units are entering the market
is doubling every five years [Fig. 3]. Whether this is sustainable
remains to be seen. It may turn out to be a move
towards multifunction sensors that allow continued unit
growth rates.
Multifunction 'fused' sensors have been spoken of for
some time now. Indeed, an airborne LiDAR and a medium
format imager, either frame based including 39 Megapixel
cameras or line scanners in one housing might be regarded
as a fused sensor. Add a waveform digitising capability and
a thermal sensor for example and the multifunction sensor
is perhaps already here.
The goal is to achieve full spatial information for every
pixel collected in real time. A truly fused sensor requires a
compatible workflow pipeline with an 'orthophoto-on-landing'
capability at a minimum. But why stop there? Communication
technology is such that even today, albeit lower
resolution, commercial imagery can be datalinked easily
from aerial platforms to groundstations. An unfolding
'ortho-carpet' continuously processed and delivered directly
to your computer workstation will surely satisfy most
imagery consumers.
How can such data volumes be handled? At least in the
"As airborne LiDAR and its
accuracy is dependent on GNSS
and IMU technologies, it is probable
that differential GPS (DGPS),
GNSS systems approaching 120
channels of GPS/Glonass/Galileo
and Compass signals will appear"
near term, some compromise is necessary. Even in the
geospatial industry, we cannot have it all right now.
Data throughput will increase, even to the transmission of
real-time ortho-imagery to an enterprise or enterprises
which can then be served as onward distribution. A requirement
will be intelligent data thinning operating in the
background with 'understanding' of application specific
needs. Thus, a mobile phone user navigating with real-time
imagery will be more application or visualisation constrained,
and thus more highly data thinned, than a
workstation based engineer requiring high resolution,
high accuracy, ortho-imagery as a backdrop.
Irrespective of the size and shape of the hardware, the
'smartness' of the software or the speed and place of
delivery, one thing is certain. We are once again, like the
great exploring surveyors who brought the unknown
closer, on the cusp of providing volumes of previously
unobtainable information. Saint-Exupéry could only have
dreamed of having such capability whilst flying P-38's
over the Mediterranean.