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Add FOSS4G Europe 2017 slides

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\pdfminorversion=4
% Created 2017-05-31 mer. 10:21
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\newcommand{\shorttitle}{OTB User Days, June 7-9 2017}
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\subtitle{FOSS4G Europe 2017}
\usetheme{default}
\author{Victor Poughon, Julien Michel, Guillaume Pasero, Rémi Cresson}
\date{2017-07-19}
\title{What's new in Orfeo ToolBox 6.0?}
\hypersetup{
pdfkeywords={otb},
pdfsubject={},
pdfcreator={Emacs 24.4.1 (Org mode 8.2.10)}}
\begin{document}
\maketitle
\begin{frame}
\frametitle{What is Orfeo ToolBox?}
\begin{itemize}
\item \textbf{90+ remote sensing applications}
\item Accessible from C++, Bash, GUI, Python, QGIS, Monteverdi, WPS
\item \textbf{Monteverdi}, a satellite image viewer (hardware accelerated, raw products)
\item A \textbf{C++ library} for image processing, based on ITK
\item \textbf{Big Data} capable, thanks to built-in streaming, multithreading
and MPI
\item Apache v2.0 license
\item Funded and developed by CNES (French Space Agency)
\item A project of OSGeo since 2017
\item Used at CNES, ESA, mission exploitation platforms,
remote sensing labs, teaching\ldots
\item Built on the shoulders of giants (ITK, GDAL, OSSIM, OpenCV\ldots)
\end{itemize}
\begin{center}
{\huge\textcolor{red}{\href{http://www.orfeo-toolbox.org}{orfeo-toolbox.org}}}
\end{center}
\end{frame}
\begin{frame}
\frametitle{Incomplete list of OTB functions}
\begin{block}{Pre-processing}
\begin{itemize}
\item Radiometric calibration, orthorectification, resampling (raster and
vector), pan-sharpening, stereo rectification\ldots
\item Sensor supported: Sentinels, Pléiades, SPOT6, SPOT5, Digital Globe satellites
\item Geometric models (thanks to OSSIM), support for DEM (SRTM or GeoTIFF)
\end{itemize}
\end{block}
\begin{block}{Images and vector manipulation}
\begin{itemize}
\item Formats supported by GDAL (raster and vector), conversion raster/vector
\item Region of interest extraction, of spectral bands, concatenation or splitting\ldots
\item Band math, color mapping, contrast enhancement
\item Linear filtering, Mathematical morphology
\end{itemize}
\end{block}
\end{frame}
\begin{frame}
\frametitle{Incomplete list of OTB functions}
\begin{block}{Feature extraction}
\begin{itemize}
\item Edge detection, scale-invariant feature transform, lines, corners
\item Radiometric indices, textures (Haralick, SFS, PanTex)
\item Local statistics (Flusser moments, Histogram of Oriented Gradient)
\item Keypoints matching (SIFT, SURF\ldots)
\end{itemize}
\end{block}
\begin{block}{Change detection}
\begin{itemize}
\item Classic methods with image metrics comparison
\item Multivariate Alteration Detector
\end{itemize}
\end{block}
\begin{block}{Dimensionality reduction, hyperspectral processing}
\begin{itemize}
\item PCA, NAPCA, ICA, MAF\ldots
\item Dimension estimation, endmembers extraction, Vertex Component Analysis(VCA)
\end{itemize}
\end{block}
\end{frame}
\begin{frame}
\frametitle{Incomplete list of OTB functions}
\begin{block}{Segmentation}
\begin{itemize}
\item Segmentation algorithms: Connected Components, MeanShift,Watershed\ldots
\item Methods to apply those algorithms on large dataset
\item Vector or raster representation which allow Object Based Image Analysis
\end{itemize}
\end{block}
\begin{block}{Classification}
\begin{itemize}
\item 9 supervised methods available (including SVM and Random Forests)
\item Fusion and regularization of classifications
\item K-Means clustering or Kohonen maps
\item Object classification (from a segmentation)
\end{itemize}
\end{block}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,height=1.1\paperheight]{images/mayotte2012.png}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,height=1.1\paperheight]{images/mayotte2013.png}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,height=1.1\paperheight]{images/mayotte_mad.png}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,height=1.1\paperheight]{images/saint_paul_lsd.png}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,width=1.005\paperwidth,height=1.1\paperheight]{images/argentiere_left.png}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,width=1.005\paperwidth,height=1.1\paperheight]{images/argentiere_right.png}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,width=1.005\paperwidth,height=1.1\paperheight]{images/argentiere_anaglyphe.png}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,height=1.1\paperheight]{images/segmentation.png}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,height=1.1\paperheight]{../../Courses/org/WorkshopGuide/Images/samples_selection.png}
\end{frame}
\vspace*{-6.5mm}
\begin{frame}[plain]
\hspace*{-11mm}
\includegraphics[keepaspectratio,height=1.1\paperheight]{../../Courses/org/WorkshopGuide/Images/final_classification.png}
\end{frame}
\begin{frame}
\frametitle{Orfeo ToolBox 5.6 \textit{Scincinae}}
\framesubtitle{Released 2016-07-28}
\begin{itemize}
\item Samples extractor and selection for supervised classification
\item Support for Sentinel-1 products (geometric calibration)
\item Improve Monteverdi OTB-applications display \& search bar
\item MPI pipeline execution
\end{itemize}
\end{frame}
\begin{frame}[fragile]
\frametitle{Parallel OTB pipeline with MPI}
\begin{center}
\vspace{-0.5cm}
\includegraphics[width=0.6\textwidth]{images/mpi.png}
\begin{tiny}
\begin{verbatim}
$ mpirun -np $nb_procs --hostfile $PBS_NODEFILE \
otbcli_BundleToPerfectSensor \
-inp $ROOT/IMG_PHR1A_P_001/IMG_PHR1A_P_201605260427149_ORT_1792732101-001_R1C1.JP2 \
-inxs $ROOT/IMG_PHR1A_MS_002/IMG_PHR1A_MS_201605260427149_ORT_1792732101-002_R1C1.JP2 \
-out $ROOT/pxs.tif uint16 -ram 1024
------------ JOB INFO 1043196.tu-adm01 -------------
JOBID : 1043196.tu-adm01
USER : michelj
GROUP : ctsiap
JOB NAME : OTB_mpi
SESSION : 631249
RES REQSTED : mem=1575000mb,ncpus=560,place=free,walltime=04:00:00
RES USED : cpupercent=1553,cput=00:56:12,mem=4784872kb,ncpus=560,vmem=18558416kb,
walltime=00:04:35
BILLING : 42:46:40 (ncpus x walltime)
QUEUE : t72h
ACCOUNT : null
JOB EXIT CODE : 0
------------ END JOB INFO 1043196.tu-adm01 ---------
\end{verbatim}
\end{tiny}
\end{center}
\end{frame}
\begin{frame}
\frametitle{Orfeo ToolBox 5.8 \textit{Sphenomorphinae}}
\framesubtitle{Released 2016-11-08}
\begin{block}{OTB}
\begin{itemize}
\item Access to Shark random forests (better performances, parallel learning)
\item Better performances in BandMathX
\item Spot7 support (radiometric and geometric calibration)
\item Applications in-memory connection
\end{itemize}
\end{block}
\begin{block}{Monteverdi}
\begin{itemize}
\item Now part of OTB source code
\item Zoom with mouse wheel without CTRL
\end{itemize}
\end{block}
\end{frame}
\begin{frame}
\frametitle{Orfeo ToolBox 5.10 \textit{Valentine}}
\framesubtitle{Released 2017-02-14}
\begin{block}{OTB}
\begin{itemize}
\item Composite applications framework
\item TrainImagesClassifier and BundleToPerfectSensor refactoring (composite)
\item Print corresponding command-line in apps QT GUI
\item Enhancement of field selector QT component
\item FFT/DWT application
\item Texture app now allows for subsampled results (faster)
\item Packaging remote modules!
\end{itemize}
\end{block}
\begin{block}{Monteverdi}
\begin{itemize}
\item Single band color mapping
\end{itemize}
\end{block}
\end{frame}
\begin{frame}
\frametitle{Monteverdi on the fly color mapping}
\includegraphics[width=1\textwidth]{images/monteverdi-colormapping.png}
\end{frame}
\begin{frame}
\frametitle{Monteverdi on the fly color mapping}
\includegraphics[width=1\textwidth]{images/monteverdi-colormapping2.png}
\end{frame}
\begin{frame}
\frametitle{Automatic command line}
\includegraphics[width=1\textwidth]{images/automatic_command_line1.png}
\end{frame}
\begin{frame}
\frametitle{Automatic command line}
\includegraphics[width=1\textwidth]{images/automatic_command_line2.png}
\end{frame}
\begin{frame}
\frametitle{Orfeo ToolBox 6.0}
\framesubtitle{Released 2017-05-15}
\begin{block}{OTB}
\begin{itemize}
\item Licence change to Apache v2.0
\item Sentinel1 IW SLC deburst application
\item Band selection through extended filenames: \texttt{\&bands=1:4}
\item Unsupervised classification in framework
\item Morphological profiles app
\item Vector files classification app
\item OpenCV 3.0 support
\item Deprecated code cleanup (major release)
\end{itemize}
\end{block}
\end{frame}
\begin{frame}
\frametitle{Sentinel-1 SLC IW Deburst}
\includegraphics[width=1\textwidth]{images/monteverdi_S1_deburst.png}
\end{frame}
\begin{frame}
\frametitle{Future of Orfeo ToolBox}
\begin{itemize}
\item More features! (Unsupervised learning, OBIA, InSAR, time series image
stacks)
\item Better QGIS integration
\item Switch to C++14
\item Maintenance (dependencies, binaries packaging, CI)
\item Better documentation
\item We need new Project Steering Commitee members! Are you interested?
\end{itemize}
\end{frame}
\end{document}
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