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Introduction Applications and librairy Roadmap




     The Orfeo Toolbox Remote Sensing Image
               Processing Software

                           J. Inglada1 , E. Christophe2

            1 C ENTRE   N ATIONAL D ’É TUDES S PATIALES , TOULOUSE , F RANCE
             2 C ENTRE FOR   R EMOTE I MAGING , S ENSING AND P ROCESSING ,
                          N ATIONAL U NIVERSITY OF S INGAPORE




                             IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   What When Why How


Outline
   Introduction
       What is it?
       A bit of history
       Why doing that?
       How?

   Applications and librairy
     Components
     Architecture
     But steep learning

   What’s coming next?
     New applications for OTB 3.2
     GIS integration
     Bindings
     GPU and clusters
                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   What When Why How


What is Orfeo Toolbox (OTB)?

  In the frame of CNES ORFEO Program
  Goal
  Make the development of new algorithms and their validation
  easier


         C++ library: provide many algorithms (pre-processing,
         image analysis) with a common interface
         Open-source: free to use, to modify, you can make your
         own software based on OTB and sell it
         Multiplatform: Windows, Linux, Unix, Mac


                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   What When Why How


A bit of History

   Everything begins (2006)
         Started in 2006 by CNES (French Space Agency), funding several full-time
         developers
         Targeted at high resolution images (Pleiades to be launched in 2010) but with
         application to other sensors
         4 year budget, over 1,000,000e


   Moving to user friendly applications (2008)
         Strong interactions with the user community highlighted that applications for
         non-programmers are important
         Several applications for non programmers (with GUI) since early 2008
         Several courses (3/5-day courses) given in several French and Belgian
         institutions (Cesbio, RMA, ENST,...)



                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   What When Why How


Why doing that?

  Is it successful so far?
         OTB user community growing steadily (programmers and application users)
         Presented at IGARSS and ISPRS in 2008, special session in IGARSS in 2009
         CNES is planning to extend the budget for several more years
         Value analysis is very positive (cf. Ohloh): re-using is powerful




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   What When Why How


Why doing that?

  Is it successful so far?
         OTB user community growing steadily (programmers and application users)
         Presented at IGARSS and ISPRS in 2008, special session in IGARSS in 2009
         CNES is planning to extend the budget for several more years
         Value analysis is very positive (cf. Ohloh): re-using is powerful


  Why make a multi-million dollar software and give it for
  free?
         CNES is not a software company
         One goal is to encourage research: it is critical for researchers to know what is in
         the box
         CNES makes satellites and wants to make sure the images are used
         if more people have the tools to use satellite images, it is good for CNES



                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   What When Why How


How?

  How to reach this goal?
  Using the best work of others: do not reinvent the wheel




                               IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   What When Why How


How?

  How to reach this goal?
  Using the best work of others: do not reinvent the wheel

  Many open-source libraries of good quality
        ITK: software architecture (streaming, multithreading), many image processing
        algorithms
        Gdal/Ogr: reading data format (geotiff, raw, png, jpeg, shapefile, . . . )
        Ossim: sensor models (Spot, RPC, SAR, . . . ) and map projections
        6S: radiometric corrections
        and many other: libLAS (lidar data), Edison (Mean Shift clustering), libSiftFast
        (SIFT), Boost (graph), libSVM (Support Vector Machines)

  ⇒ all behind a common interface


                               IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Components Architecture But


Outline
   Introduction
       What is it?
       A bit of history
       Why doing that?
       How?

   Applications and librairy
     Components
     Architecture
     But steep learning

   What’s coming next?
     New applications for OTB 3.2
     GIS integration
     Bindings
     GPU and clusters
                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Components Architecture But


Application

   Currently
         Image viewer
         Image Segmentation
         Image Classification (by SVM)
         Land Cover
         Feature Extraction
         Road Extraction
         Orthorectification (with Pan Sharpening)
         Fine registration
         Image to database registration
         Object counting
         Urban area detection
         more to come


                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Components Architecture But


Components available


  Currently
        Most satellite image formats
        Geometric corrections
        Radiometric corrections
        Change detection
        Feature extraction
        Classification


  Huge documentation available
        Software Guide (+600 pages pdf), also the online version
        Doxygen: documentation for developers




                               IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Components Architecture But


A powerful architecture



   Modular
         Easy to combine different blocks to do new processing


   Scalable
         Streaming (processing huge images on the flow) transparent for the user of the
         library
         Multithreading (using multicore CPUs) also




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Components Architecture But


But a steep learning curve for the programmer
   Advanced programming concepts
         Template metaprogramming (generic programming)
         Design patterns (Factory, Functors, Smart Pointers, ...)




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Components Architecture But


But a steep learning curve for the programmer
   Advanced programming concepts
         Template metaprogramming (generic programming)
         Design patterns (Factory, Functors, Smart Pointers, ...)




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Components Architecture But


Ask questions




  As for everything: easier when you’re not alone
         Much easier if you have somebody around to help!
         We didn’t know anything not so long ago...
         Not surprising that most software companies now focus their offer on support:
         help is important




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Application GIS integration Bindings GPU and clusters


Outline
   Introduction
       What is it?
       A bit of history
       Why doing that?
       How?

   Applications and librairy
     Components
     Architecture
     But steep learning

   What’s coming next?
     New applications for OTB 3.2
     GIS integration
     Bindings
     GPU and clusters
                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Application GIS integration Bindings GPU and clusters


New applications for OTB 3.2




         Tree stand extraction
         Radiometric calibration application (Optical and radar)
         Improvement of the land cover application (use of textures)




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Application GIS integration Bindings GPU and clusters


GIS integration




   PostGIS
         Work in progress to integrate the connection to PostGIS database (IO)
         Querying: use the geographic capabilities in feature extraction algorithms (a
         building has a shadow in the north west for example)




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Application GIS integration Bindings GPU and clusters


GIS integration

   Quantum GIS
         Quantum GIS is a very user-friendly open source GIS application
         Work going on to access the OTB capabilities within Quantum GIS (plugins)




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Application GIS integration Bindings GPU and clusters


GIS integration
   Mapping
         Stronger integration with mapping and data representation
         Integration of Mapnik, Open Street Map data




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Application GIS integration Bindings GPU and clusters


Bindings: access through other languages



  Not everybody uses C++!
         Bindings provide an access to the library through other languages
         Python: mostly working but not fully tested
         Java: some work is still needed to be able to use OTB from java but most of the
         work is already done
         IDL/Envi: cooperation with ITT VIS to provide a method to access OTB through
         idl/envi (working but no automatic generation)
         Matlab: recent user contribution (R. Bellens from TU Delft)
         Other languages supported by Cable Swig might be possible (Tcl, Ruby?)




                                IGARSS 2009, Cape Town
Introduction Applications and librairy Roadmap   Application GIS integration Bindings GPU and clusters


GPU and clusters


  Now
        Can automatically use several cores on the same CPU (shared memory)
        This is transparent for the user thanks to the ITK architecture


  GPU and clusters
        Some talks are going on between ITK and OTB to find the best solution: general,
        easy to use...
        Cuda is too dependent on the hardware but OpenCL is leading an effort to get a
        common architecture (Apple, AMD, Intel, Nvidia)
        Probably some novelties in the coming months




                               IGARSS 2009, Cape Town

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The Orfeo Toolbox remote sensing image processing software

  • 1. Introduction Applications and librairy Roadmap The Orfeo Toolbox Remote Sensing Image Processing Software J. Inglada1 , E. Christophe2 1 C ENTRE N ATIONAL D ’É TUDES S PATIALES , TOULOUSE , F RANCE 2 C ENTRE FOR R EMOTE I MAGING , S ENSING AND P ROCESSING , N ATIONAL U NIVERSITY OF S INGAPORE IGARSS 2009, Cape Town
  • 2. Introduction Applications and librairy Roadmap What When Why How Outline Introduction What is it? A bit of history Why doing that? How? Applications and librairy Components Architecture But steep learning What’s coming next? New applications for OTB 3.2 GIS integration Bindings GPU and clusters IGARSS 2009, Cape Town
  • 3. Introduction Applications and librairy Roadmap What When Why How What is Orfeo Toolbox (OTB)? In the frame of CNES ORFEO Program Goal Make the development of new algorithms and their validation easier C++ library: provide many algorithms (pre-processing, image analysis) with a common interface Open-source: free to use, to modify, you can make your own software based on OTB and sell it Multiplatform: Windows, Linux, Unix, Mac IGARSS 2009, Cape Town
  • 4. Introduction Applications and librairy Roadmap What When Why How A bit of History Everything begins (2006) Started in 2006 by CNES (French Space Agency), funding several full-time developers Targeted at high resolution images (Pleiades to be launched in 2010) but with application to other sensors 4 year budget, over 1,000,000e Moving to user friendly applications (2008) Strong interactions with the user community highlighted that applications for non-programmers are important Several applications for non programmers (with GUI) since early 2008 Several courses (3/5-day courses) given in several French and Belgian institutions (Cesbio, RMA, ENST,...) IGARSS 2009, Cape Town
  • 5. Introduction Applications and librairy Roadmap What When Why How Why doing that? Is it successful so far? OTB user community growing steadily (programmers and application users) Presented at IGARSS and ISPRS in 2008, special session in IGARSS in 2009 CNES is planning to extend the budget for several more years Value analysis is very positive (cf. Ohloh): re-using is powerful IGARSS 2009, Cape Town
  • 6. Introduction Applications and librairy Roadmap What When Why How Why doing that? Is it successful so far? OTB user community growing steadily (programmers and application users) Presented at IGARSS and ISPRS in 2008, special session in IGARSS in 2009 CNES is planning to extend the budget for several more years Value analysis is very positive (cf. Ohloh): re-using is powerful Why make a multi-million dollar software and give it for free? CNES is not a software company One goal is to encourage research: it is critical for researchers to know what is in the box CNES makes satellites and wants to make sure the images are used if more people have the tools to use satellite images, it is good for CNES IGARSS 2009, Cape Town
  • 7. Introduction Applications and librairy Roadmap What When Why How How? How to reach this goal? Using the best work of others: do not reinvent the wheel IGARSS 2009, Cape Town
  • 8. Introduction Applications and librairy Roadmap What When Why How How? How to reach this goal? Using the best work of others: do not reinvent the wheel Many open-source libraries of good quality ITK: software architecture (streaming, multithreading), many image processing algorithms Gdal/Ogr: reading data format (geotiff, raw, png, jpeg, shapefile, . . . ) Ossim: sensor models (Spot, RPC, SAR, . . . ) and map projections 6S: radiometric corrections and many other: libLAS (lidar data), Edison (Mean Shift clustering), libSiftFast (SIFT), Boost (graph), libSVM (Support Vector Machines) ⇒ all behind a common interface IGARSS 2009, Cape Town
  • 9. Introduction Applications and librairy Roadmap Components Architecture But Outline Introduction What is it? A bit of history Why doing that? How? Applications and librairy Components Architecture But steep learning What’s coming next? New applications for OTB 3.2 GIS integration Bindings GPU and clusters IGARSS 2009, Cape Town
  • 10. Introduction Applications and librairy Roadmap Components Architecture But Application Currently Image viewer Image Segmentation Image Classification (by SVM) Land Cover Feature Extraction Road Extraction Orthorectification (with Pan Sharpening) Fine registration Image to database registration Object counting Urban area detection more to come IGARSS 2009, Cape Town
  • 11. Introduction Applications and librairy Roadmap Components Architecture But Components available Currently Most satellite image formats Geometric corrections Radiometric corrections Change detection Feature extraction Classification Huge documentation available Software Guide (+600 pages pdf), also the online version Doxygen: documentation for developers IGARSS 2009, Cape Town
  • 12. Introduction Applications and librairy Roadmap Components Architecture But A powerful architecture Modular Easy to combine different blocks to do new processing Scalable Streaming (processing huge images on the flow) transparent for the user of the library Multithreading (using multicore CPUs) also IGARSS 2009, Cape Town
  • 13. Introduction Applications and librairy Roadmap Components Architecture But But a steep learning curve for the programmer Advanced programming concepts Template metaprogramming (generic programming) Design patterns (Factory, Functors, Smart Pointers, ...) IGARSS 2009, Cape Town
  • 14. Introduction Applications and librairy Roadmap Components Architecture But But a steep learning curve for the programmer Advanced programming concepts Template metaprogramming (generic programming) Design patterns (Factory, Functors, Smart Pointers, ...) IGARSS 2009, Cape Town
  • 15. Introduction Applications and librairy Roadmap Components Architecture But Ask questions As for everything: easier when you’re not alone Much easier if you have somebody around to help! We didn’t know anything not so long ago... Not surprising that most software companies now focus their offer on support: help is important IGARSS 2009, Cape Town
  • 16. Introduction Applications and librairy Roadmap Application GIS integration Bindings GPU and clusters Outline Introduction What is it? A bit of history Why doing that? How? Applications and librairy Components Architecture But steep learning What’s coming next? New applications for OTB 3.2 GIS integration Bindings GPU and clusters IGARSS 2009, Cape Town
  • 17. Introduction Applications and librairy Roadmap Application GIS integration Bindings GPU and clusters New applications for OTB 3.2 Tree stand extraction Radiometric calibration application (Optical and radar) Improvement of the land cover application (use of textures) IGARSS 2009, Cape Town
  • 18. Introduction Applications and librairy Roadmap Application GIS integration Bindings GPU and clusters GIS integration PostGIS Work in progress to integrate the connection to PostGIS database (IO) Querying: use the geographic capabilities in feature extraction algorithms (a building has a shadow in the north west for example) IGARSS 2009, Cape Town
  • 19. Introduction Applications and librairy Roadmap Application GIS integration Bindings GPU and clusters GIS integration Quantum GIS Quantum GIS is a very user-friendly open source GIS application Work going on to access the OTB capabilities within Quantum GIS (plugins) IGARSS 2009, Cape Town
  • 20. Introduction Applications and librairy Roadmap Application GIS integration Bindings GPU and clusters GIS integration Mapping Stronger integration with mapping and data representation Integration of Mapnik, Open Street Map data IGARSS 2009, Cape Town
  • 21. Introduction Applications and librairy Roadmap Application GIS integration Bindings GPU and clusters Bindings: access through other languages Not everybody uses C++! Bindings provide an access to the library through other languages Python: mostly working but not fully tested Java: some work is still needed to be able to use OTB from java but most of the work is already done IDL/Envi: cooperation with ITT VIS to provide a method to access OTB through idl/envi (working but no automatic generation) Matlab: recent user contribution (R. Bellens from TU Delft) Other languages supported by Cable Swig might be possible (Tcl, Ruby?) IGARSS 2009, Cape Town
  • 22. Introduction Applications and librairy Roadmap Application GIS integration Bindings GPU and clusters GPU and clusters Now Can automatically use several cores on the same CPU (shared memory) This is transparent for the user thanks to the ITK architecture GPU and clusters Some talks are going on between ITK and OTB to find the best solution: general, easy to use... Cuda is too dependent on the hardware but OpenCL is leading an effort to get a common architecture (Apple, AMD, Intel, Nvidia) Probably some novelties in the coming months IGARSS 2009, Cape Town