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Knowledge-centred Earth Observation Final presentation acs-keo@acsys.it

Knowledge-centred Earth Observation Final presentation acs-keo@acsys.it. About ACS. ACS is a private Italian SW engineering company specialised in satellite remote sensing:. Founded in 1979 Headquarters in Rome Research Centre in Matera (since 2001)

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Knowledge-centred Earth Observation Final presentation acs-keo@acsys.it

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  1. Knowledge-centred Earth Observation Final presentation acs-keo@acsys.it KEO Final presentation - Esrin 11/12/2008

  2. About ACS ACS is a private Italian SW engineering company specialised in satellite remote sensing: • Founded in 1979 • Headquarters in Rome • Research Centre in Matera (since 2001) • 110 Employees (90% graduates, 11 PhDs) • Quality System Certification ISO 9001 (since ‘99) • Certified balance sheet since 1999 KEO Final presentation - Esrin 11/12/2008

  3. ACS proposes • Integrated Systems • Software solutions • Services and Consultancies • In the fields of: • - Earth Observation Satellites Ground Segments • - Environment Monitoring & Management Applications • - Advanced & Immersive data visualisation Medical Applications Technology transfer KEO Final presentation - Esrin 11/12/2008

  4. ACS Capabilities • Ground Segment Technologies • Payload Ground Segments • Processors (SAR and Optical) • Data Mining • Mission Planning Tools • User Services KEO Final presentation - Esrin 11/12/2008

  5. ACS Capabilities • EO Applications • Vegetation Monitoring • Detection of Marine Pollution • Volcano Eruption Monitoring • Environmental Risk Monitoring • Cartography and DEM/DTM • Desertification Monitoring • Urban Expansion • Applied Interferometry KEO Final presentation - Esrin 11/12/2008

  6. ACS Systems in the World KEO Final presentation - Esrin 11/12/2008

  7. ACS & IIM • Knowledge-based Information Mining (KIM) tool • Interactive image collection analysis using Probabilistic Information Mining • Cooperation of ACS, DLR, ETHZ • Technology development started in 2001 (ESA TRP) and improved over time • Knowledge-centred Earth Observation (KEO) • KIM + rich, graphic, distributed environment for automated Information Extraction • Cooperation of ACS, DLR, CNES, GTD • Started in 2005 (ESA TRP) • Image Information Mining - Time Series (IIM-TS) • KEO modules for co-registration and Time Series handling • Cooperation of ACS, CNES, DLR, IGUASSU, JRC, MEEO, SARMAP, UNIPV, UNITN, VTT • Started in 2007 (ESA TRP) KEO Final presentation - Esrin 11/12/2008

  8. The System KEO Final presentation - Esrin 11/12/2008

  9. What is KEO ? • Distributed Component-based Processing Environment • Graphically build of Processing Components • Image Information Mining (IIM) Processing with Interactive Training • Processing results available through OGC services (WMS, WFS, …) • Processing graphs and/or processing results are easy to publish in SSE KEO Final presentation - Esrin 11/12/2008

  10. KEO SW architecture KEO Final presentation - Esrin 11/12/2008

  11. KEO HW Architecture KEO Final presentation - Esrin 11/12/2008

  12. FP HW/SW architecture KEO Final presentation - Esrin 11/12/2008

  13. KEO Users • Domain Expert • Not an expert in remote sensing • Needs information to make decision • Remote Sensing Expert • A scientist with signal & image processing know-how • Able to build chains of processing components KEO Final presentation - Esrin 11/12/2008

  14. Live Demos KEO Final presentation - Esrin 11/12/2008

  15. KEO Users Interfaces • SSE [Domain Expert] • http://keo.esrin.esa.int • KAOS [Domain & Remote Sensing Experts] • Server Monitor • Image Browser • Image Info Viewer • Product Explorer • World Wind Viewer • FEP Designer KEO Final presentation - Esrin 11/12/2008

  16. Live Demo Glossary • FEP (Feature Extraction Processor) • FEP Engine • FEP Actuator • Data Flow • Module [CLI, JAVA, WS] • Ports • Connection (Semantic Check) KEO Final presentation - Esrin 11/12/2008

  17. Live Demo NDVI 1 • Problem • Vegetation Detection using NDVI • Solution • Search in KEO a NDVI modules • Action • Run the found FEP KEO Final presentation - Esrin 11/12/2008

  18. Live Demo NDVI 2 • Problem • NDVI isn’t good enough • Solution • Search in KEO for different NDVI modules • Action • Create a new FEP with the found CLI module and run it KEO Final presentation - Esrin 11/12/2008

  19. Live Demo NDVI classification • Problem • Classify the NDVI image to find an easy way to detect a particular type of vegetation • Solution • Use an available classification algorithm • Action • Create a new CLI with the classifier and integrate it within our FEP KEO Final presentation - Esrin 11/12/2008

  20. Live DemoKIM subsystem Knowledge-based Information Mining KIM KEO Final presentation - Esrin 11/12/2008

  21. Live DemoMotivation • KEO/FEP: a tool for large-scale algorithmic processing • For well-specified phenomena of interest • With well-known solutions • KEO/KIM: a tool for ExploratoryAnalysis • For unknown / hard-to-specify phenomena • Via examples [using color, shape, multi-scale texture for optical, radar sensors] • Interactive KEO processor definition KEO Final presentation - Esrin 11/12/2008

  22. Live DemoImage Browser • An imagearchive client: • browse by quicklook visualization • search by attributes (e.g. date, footprint...) • search by content! KEO Final presentation - Esrin 11/12/2008

  23. Live DemoLabel Designer • A rich interaction environment • Iterative process: • YES/NOexamples via mouse clicks • interface reacts: red interest areas • Zoom levels, undo, real-time enhancement... NO YES KEO Final presentation - Esrin 11/12/2008

  24. Live Demo Label Designer • Fast, iterative supervised trainingacross archive • Can be re-used, refined, extended, managed • Associated to interactivelyuser-defined textual tags • Seamless data exchange with archive KEO Final presentation - Esrin 11/12/2008

  25. Live DemoThematic Maps • User-defined interest rapid mapping • Automatic production on-the-fly for the entire archive • Select + rank relevant images by content • Can be published on SSE or WCS/WMS KEO Final presentation - Esrin 11/12/2008

  26. Live Demo Product Explorer • Expert exploratory analysis • Define new product format combining • Thematic maps • Primitive signals for further analysis / other users KEO Final presentation - Esrin 11/12/2008

  27. KIM: image search engine Google, Yahoo • Crawler - data collection / analysis • Content indexer • Interactive front end /ranking • Application-independent descriptors • Content simplifier • Interactivesub-space selection + tagging by labels “ingestion” Evolution KEO Final presentation - Esrin 11/12/2008

  28. System Architecture KEO Final presentation - Esrin 11/12/2008

  29. Main componets • Ingestion subsystem • FEP subsystem • KARISMA application • Reference DataSet • Ontology subsystem • OGC services • KAOS client application KEO Final presentation - Esrin 11/12/2008

  30. Ingestion subsystem In charge of ingesting products extracted and/or computing: • information for KIM processing • features and KIM data • feature labels and labels maps • co-registered products KEO Final presentation - Esrin 11/12/2008

  31. FEP subsystem A data-flow engine in charge of extracting features using Feature Extraction Processors made of: • Java-coded modules • CLI programs • external Web Services KEO Final presentation - Esrin 11/12/2008

  32. FEP subsystem Made of: • Designer, used to graphically draw a processing graph • Engine, the executor and coordinator of the processing graph • Actuator, the executor of the platform-dependent modules KEO Final presentation - Esrin 11/12/2008

  33. FEP Engine KEO Final presentation - Esrin 11/12/2008

  34. FEP Actuator KEO Final presentation - Esrin 11/12/2008

  35. KARISMA • The KEO back end application for KIM • Provides access to image archive • Provides access to KIM data • Implements most of the KIM engine • Manages users, projects, … • J2EE application and some W/S • Deployed on a glassfish application server KEO Final presentation - Esrin 11/12/2008

  36. KAOS • KEO client application • KIM client[KARISMA] • FEP client[KAFE] • KEO system management KEO Final presentation - Esrin 11/12/2008

  37. AIR web Service • Automatic Image Registration • First level of integration of GDAL, but still semi-automatic • Configuration files added for processing different image pairs • Command Line Interface simplification and logfiles centralization • Deformation Model Management System • XML files based on OGC standards • C++ library for handling a Deformation Model • Test and visualization tools • Some anomalies still to be corrected • Web Service (AIR-WS) • AIR-WS Java application developed on top of AIR Python scripts • Test and visualization tools KEO Final presentation - Esrin 11/12/2008

  38. Ontology subsystem Free text search inside KEO by KAOS client KEO Final presentation - Esrin 11/12/2008

  39. Reference Data Set • Set of reference data used to test and validate FEPs • Collection of georeferenced Images and any other relevant data (text, pdf, movie, URLs, …) • Based on GeoNetwork KEO Final presentation - Esrin 11/12/2008

  40. Users Search in multiple catalogues through one website Access data from source site File download Data visualization through web map viewer Data Providers Standardized process to document and publish Online metadata editor Different metadata standards (ISO 19115, ISO 19139, FGDC, Doublin Core) Different sharing / security levels File upload GeoNetwork Features KEO Final presentation - Esrin 11/12/2008

  41. GeoNetwork Technology Java language (platform independent) Servlet environment (Tomcat, Jetty, ...) XML data representation (JDOM) XSL templates for presentation (XALAN) JDBC for database access (runs on any compliant DBMS) XML Schema for metadata editing Catalogue interoperability Full OGC Catalog v2.0 support ISO profile (Reference OGC implementatio) Open Archive Initiative support (OAI-MPH) RSS and GeoRSS newsfeeds OpenSearch with GEO extension Metadata harvesting & synchronization GeoNetwork Features KEO Final presentation - Esrin 11/12/2008

  42. OGC services • WMS and WFS for data extracted by PIM Batch processors • Based on UMN MapServer • WMS and WFS exposed to SSE KEO Final presentation - Esrin 11/12/2008

  43. System Evolutions KEO Final presentation - Esrin 11/12/2008

  44. Further Evolutions in IIM • Technology and Research continues with IIMTS project aimed at extending KEO and KIM capabilities to Image Time Series with the purpose of: • Identifying and locating changes • Identifying and locating patterns • Tracking and following movement of recurring features which could represent potentially useful information for specific applications: • Urban areas monitoring • Agricultural monitoring • Emergency and Security KEO Final presentation - Esrin 11/12/2008

  45. Conclusions and Future • KEO provides a distributed environment where Feature Extraction Algorithms (including Time Series) can be plugged and used as simple CLI modules (in any programming language). • Any KEO registered user can deploy his own modules and make these modules usable by others thus optimising development efforts • By design CLI modules run on processing nodes that can even be physically located on remote sites thus providing an effective solution for a distributed exploitation and processing environment ……………….. And in future ? KEO Final presentation - Esrin 11/12/2008

  46. Conclusions and Future From May 2009 KEO will include Processing Components (developed within the Image Information Mining – Time Series project) in support to: • Classification of Optical Images (including Very High resolution) • Tools for Oil Spill and Ship Detection from SAR images • Binary and Multiclass Change Detection tools from Optical and SAR Images • Shape Change Detection Tools to point out geometric differences between regions from previous classifications • Trend Analysisin Temporal Time Seriesalso as an extension of the KIM concept. KEO Final presentation - Esrin 11/12/2008

  47. Conclusions and Future ………….. What will happen in ‘09 ? • A KEO system will be installed in Romania in the frame of the ESA-ROSA (Romanian Space Agency) agreement. • ACS continues to study and prototype a second generation of KIM Systems • A discussion with ESA is undergoing to define a working plan for KIM/KEO enhancements • An assessment of what should come first in terms of evolutions is needed, so feedback from users would be highly appreciated ……….. KEO Final presentation - Esrin 11/12/2008

  48. Conclusions and Future • People interested in becoming registered KEO users are invited to contact ESA! http://keo.esrin.esa.int • For any question please contact: • ESA for KEO: • Michele Iapaolo michele.iapaolo@esa.int • ESA for RDSs: • Andrea Della Vecchia andrea.della.vecchia@esa.int • ACS: • KEO Team acs-keo@acsys.it Thank you for your Attention KEO Final presentation - Esrin 11/12/2008

  49. Questions? KEO Final presentation - Esrin 11/12/2008

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