In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B
ALTM ORION: BRIDGING CONVENTIONAL LIDAR AND
FULL WAVEFORM DIGITIZER TECHNOLOGY
Valerie Ussyshkin a , Livia Theriault a
Optech Incorporated, 300 Interchange Way, Vaughan, Ontario, Canada L4K 5Z8
valerieu@optech.ca. liviat@optech.ca
KEY WORDS: Data, Digitisation, Forestry, Fusion, LIDAR, Measurement, Modelling, Urban
ABSTRACT:
Over the past decade airborne lidar technology has seen the development of new systems capable of digitising and recording the
entire waveform of each emitted laser pulse through waveform digitisers (WFD). WFD technology holds enormous potential for
forestry and urban mapping, but the high cost and complexity of data handling and analysis has confined it mainly to research
institutions. Alternatively, conventional lidar systems used in the commercial lidar sector for high-quality mapping of complex
targets such as power lines and vegetation have been limited in their ability to collect and record data of sufficient quality for
sophisticated data analysis, including waveform interpretation.
This paper focuses on technical characteristics of the ALTM Orion, a new airborne lidar mapper manufactured by Optech
Incorporated, and in particular, its ability to discriminate consecutive multiple laser returns. Unlike a conventional lidar, the ALTM
Orion offers fundamentally improved specifications for multiple return data. High-density, multiple return ALTM Orion data with
unique pulse separation characteristics and exceptional precision might be viewed as a new cost-effective alternative to WFD for
applications requiring complex target analysis and partial waveform modelling, such as forest research and urban mapping. The new
technology bears the potential to create an application niche where top-quality dense point clouds, enhanced by fully recorded
intensity for each return, may provide sufficient information for modelling the received waveforms. Recognizing the importance of
further development in existing WFD technology, the paper also discusses the possibility of data fusion interpretation and analysis
tools for both technologies.
1.0 INTRODUCTION
Airborne lidar technology has been widely accepted by the
surveying and mapping community as an efficient way of
generating high-accuracy spatial data for a variety of
applications (Renslow, 2005). Unlike two-dimensional aerial
imagery, the elevation component of airborne lidar data
provides the inherent ability of this technology to represent
complex vertical structures and ground surfaces with very high
precision, which is a prerequisite to most lidar applications,
many of which focus exclusively on analysis of the elevated
features (Hudak et al., 2009).
The capability of an airborne lidar to map complex vertical
structures and generate high-quality complex target data is
solely determined by system hardware design. A vast majority
of airborne lidar sensors currently used in the lidar industry can
be categorized into two types: discrete return, and waveform.
Optech has worked extensively with full waveform digitization
for several decades, and continues with leading-edge algorithm
development in its current waveform digitizers for ALTM.
This expertise has been refined within the ALTM Orion, which
incorporates an onboard real-time waveform analyzer as part of
its iFLEX™ technology base for rapid, precise and accurate
XYZ data output.
The most common type of commercial lidar sensors (Optech’s
ALTM and Leica’s ALS series) are small-footprint discrete
return systems that record two to four returns for each emitted
laser pulse. Waveform sensors, which can be large- or small-
footprint systems, digitize the full profile of a return signal in
fixed time (i.e., distance) intervals, providing a quasi-
continuous distribution of the reflected energy for each emitted
laser pulse. Some lidar system manufacturers (Optech
Incorporated) offer airborne sensors capable of both operational
modes, where conventional discrete-return operation is
provided by the main sensor, while full waveform data
collection is supported by an optional unit, which may or may
not be used during data collection missions (Optech, 2010).
Each data collection mode, whether full waveform or discrete
return, has distinct advantages and disadvantages that determine
the potential applications. Most conventional discrete return
systems can provide extremely high ground point density, This
enables the high-resolution representation of complex targets in
the horizontal plane with a somewhat coarsely resolved
elevation structure, which makes the discrete return system a
perfect choice for mapping. The additional information about
3D elevation structure provided by multiple-return point clouds
can be used for a variety of mapping applications including
flood modeling (Bates et al., 1999), urban and vegetation
analysis (Evans et al., 2009), and power line mapping
(Ussyshkin and Sitar, 2009). In particular, airborne lidar with
multiple-return capability has proved to be the most efficient
among different remote sensing techniques to characterize both
forest structure and ground topography (Chauve et al., 2007).
However, the coarse vertical resolution, which is typically a
few meters for many commercial airborne lidar systems, and a
lack of detailed 3D spatial information, limit the user’s ability
to apply more sophisticated analysis such as vegetation
composition and change detection in land surface if the scale at
which processes occur is less than a few meters (Wu et al.,
2009).
On the other hand, commercially available full waveform
airborne lidar systems (Riegl, Optech, 2010) capture full
profiles of the laser backscattered energy for each emitted laser
pulse as a function of time (distance) with a typical sampling
rate of 1 ns, which is equivalent to a one-way distance of 30
cm. They can provide much more detailed information about
the vertical elevation structure, which could potentially be used