International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B3, 2012
XXII ISPRS Congress, 25 August - 01 September 2012, Melbourne, Australia
scalability to images size and number of bands of most
algorithms, thanks to native parallel and on the flow processing.
The most straightforward way of using the Orfeo ToolBox is to
write C++ processing chain on top of it, while being guided by
the extensive developer-oriented documentation OTB Soft
Guide (0TB development team, 2011a). However, there are
other lesser known means to use it, dedicated to non-
developers.
The first one is to use the OTB Applications framework. It is a
set of applications plugins that can be accessed through
command-line, standalone QT graphical user interface, higher-
level coding languages such as Python for instance, and plugins
for the QGIS software (Quantum GIS, www.qgis.org). This
framework can be easily extended in two ways : first, one can
very easily write new application plugins and access them
through all the mentioned means, and second, one can easily
use the application plugin interface to integrate all the available
plugins into his own software environment.
The second and most end-user oriented mean to access OTB
functionalities is to use Monteverdi, an integrated software for
everyday life image manipulation and analysis task, which gives
access to some of the most popular functionalities in OTB.
Originally intended as a support for remote sensing training
course and capacity building, Monteverdi has gained a lot of
interest from the end-users community as a complete FOSS
tool. Figures 1 and 2 show an example of processing module
available in Monteverdi. Both the applications plugins and
Monteverdi are thoroughly documented (OTB development
team, 2011b).
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Figure 1. Monteverdi features extraction module
3.2 What can be done with Orfeo ToolBox ?
Being a rich and modular algorithms library, it is difficult to
make a complete list of available functionalities. This section
will present the most popular and useful. OTB can do all the
basic image manipulation tasks: read, write, convert, rescale,
resample, and extracts parts of remote sensing data. It can also
perform basic pre-processing tasks like ortho-rectification,
radiometric calibration or pan-sharpening. But the richness of
Orfeo ToolBox lies in image processing: common processing
tasks like thresholding, band-algebra, or Fourier and wavelets
transforms, features extraction and segmentation, vectorization,
532
classification and change detection, all including state-of-the-art
algorithms.
le
Figure 2. Monteverdi viewer on simulated Pleiades images
Being a rich and modular algorithms library, it is difficult to
make a complete list of available functionalities. This section
will present the most popular and useful. OTB can do all the
basic image manipulation tasks: read, write, convert, rescale,
resample, and extracts parts of remote sensing data \Idots It can
also perform basic pre-processing tasks like ortho-rectification,
radiometric calibration or pan-sharpening. But the richness of
Orfeo ToolBox lies in image processing: common processing
tasks like thresholding, band-algebra, or Fourier and wavelets
transforms, features extraction and segmentation, vectorization,
classification and change detection, all including state-of-the-art
algorithms.
A send : s 5 A eei
Figure 3. Example of Orfeo ToolBox algorithm results:
MAD/MAF analysis (Nielsen et al., 2010) on a pair of 4 bands
Worldview2 images of Cannes, France.
For example, Figure 3 shows the result of Multivariate
Alteration Detection and Maximum Autocorrelation Factor
change detection analysis (Nielsen et al., 2010) performed by
OTB on a pair of 4 bands registered WorldView-2 images,
while Figure 4 shows the results of pan-sharpening and Line
Segment Detection (von Gioi et al., 2010} both performed by
OTB on a Quickbird image. Advanced methodologies like
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