Processing, Cataloguing and Distribution of UAS Images in Near-Real-Time. Andreas Kühnen GEOSYSTEMS

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1 Processing, Cataloguing and Distribution of UAS Images in Near-Real-Time Andreas Kühnen GEOSYSTEMS Copyright GEOSYSTEMS GmbH Irrtum und Änderungen vorbehalten.

2 R&D project of German Army System zur echtzeitnahen Luftbild- Serverauswertung für hochauflösende Sensoren S N S I P H S HyM System for near real-time server-based aerial image processing and interpretation for high-resolution sensors

3 R&D project of the German Army - SELSAS-HyM Deliver fast situation awareness information Focus: UAS multi-sensory technology Innovation: Generic multi-sensor platform (HS, VIS,.) in the wing pod Near RT image data preprocessing Near RT cataloguing and dissemination of acquired image data in ERDAS APOLLO Distribution as OGC services and implementation of WPS for remote access Cooperation of two industry partners and one defense research partner Financed as R&D project by German Army

4 Project Partner OHB System AG is a German space technology company and system integrator, highly specialized in the construction of satellites and aerial platforms IOSB stands for Institute of Optronics, System Technologies and Image Exploitation of the German Fraunhofer Institute, specialized in multi sensor systems GEOSYSTEMS is the Intergraph Distribution Partner for the Geospatial Portfolio and solution provider for Geo-IT solutions in Germany

5 Partner Know-how and Competence OHB provides the flight platform (OMCoSS - OHB Multi-mission Communication & Surveillance System) with a high-speed data downlink and a well-equipped ground control station (ARDS Aerial Reconnaissance Data System) IOSB has expert knowledge for handling multi-sensor data, focus here are hyperspectral and VIS sensors GEOSYSTEMS owns a methodology for high-speed georeferencing and cataloguing of aerial imagery GEOSYSTEMS developed a prototype for web-based image processing services based on ERDAS APOLLO to produce and disseminate images and value-added products (developed in cooperation with IOSB)

6 Hardware / Software Flight platform: CONDOR is an operational platform based on a Stemme S10. It is designed for real-time wide-range reconnaissance tasks at altitudes of up to 9 km on missions lasting 10 hours. 2 wing pods with 60 kg pay load (each). Sensors: Specim AISA EAGLE II SVCam-SVS Data link system (ARDS) with its efficient data management prepares sensor data for being transmitted by its data link with data rates of 83 Mbit/s (COFDM) or 247 Mbits/s (single carrier) to the ground station over distances of up to 250 km. Mobile ground control station for mission planning and - control, sensor data exploitation, with interfaces to command and control environment Image processing and image dissemination: ERDAS IMAGINE and ERDAS APOLLO Automation of process workflow: GEOSYSTEMS METAmorph!IT

7 SELSAS System Configuration SVCam Data preprocessing - Screening, - Georeferencing Direct data processing and interpretatation - data analysis, - product generation Geodata server WPS project specific algorithms Remote data processing and interpretation Web-Client WPS

8 From data capture to dissemination F u l l y a u t o m a t i c w o r k f l o w UAS-flight Data preprocessing Image management Dynamic image processing via WPS georeferencing mosaicing Implemented software GEOSYSTEMS METAmorph!IT ERDAS IMAGINE ERDAS APOLLO data search visualization download OGC-Client Geomedia GIS

9 From data capture to dissemination Near RT UAS-flight Near RT Data preprocessing Near RT Image management Dynamic image processing via WPS (Web-ATR) 1 second per image georeferencing mosaicing Near RT data search visualization download OGC-Client GIS Geomedia IMINT process

10 WPS Workflow Example Pansharpening Apollo Webclient Apollo Image Server 1. Choose image data 2. Adjust Parameter Image Catalogue 3. Display results

11 Dynamic image data analysis via WPS Server-based geo-processing of image analysis algorithms Experts develop specific image analysis algorithms Those algorithms are implemented as WPS functionality to ERDAS APOLLO Those algorithms are available through the Web-ATR web-client (an adaption of the standard ERDAS APOLLO web-client High-speed pan sharpening HS-band combination Camouflage detection Other applications in preparation Advantage : One-time costs for Hard- and Software Flexible and extensible functions Centralized data storage Simple administration

12 SELSAS HyM at work Condor Mobile ground control station Web access WPS client Multisensor Pod (VIS/HS) Downlinkantenna Receiving computer Preprocessing computer Raster data server ERDAS APOLLO Preprocessing HS Preprocessing VIS Georeferencing, Mosaicing Data integration Cataloguing Data analysis Web services

13 Data recording at work

14 Data capture Per flight: About 1600 images 11bit, VIS and HS VIS image: 4872 x 3248 Pixel File format: JPG

15 Dismantled wing pod with (DAQ, Aisa Eagle, SVCam, Applanix)

16 Sreener and image analyst

17 Output Data Accessible in Web-Client or GIS Data search Visualisation Download

18 Geometrical Accuracy

19 Sat Com on move remote access and dynamic data analysis

20 Sat Com on move remote access and dynamic data analysis

21 Scalability Regional Scalability - EMEA - APAC - Americas Horizontal Scalability Defense / Security Pipeline Monitoring Environmental Monitoring Calamities / Humananitarian Aid Facility Monitoring Marine Applications Monitoring of Events Entry point: National defense market

22 Example Micro-Drone

23 Example Micro Drone 36 images captured - disseminated within 1 second

24 Example Micro Drone 36 images captured - disseminated within 1 second

25 Automated Georeferencing and Cataloguing 36 images captured - disseminated within 1 second

26 From Data Acquisition to Interpretation Data Acquisition Data Processing Image Catalogue Fully automated WPS Raw image data Partly automated Meta data (GPS/IMU, Orientation) Data Query Visualisation Download Software components: GEOSYSTEMS METAmorph!IT ERDAS IMAGINE ERDAS APOLLO OGC-Client ArcMap 10.x Geomedia Data Interpretation LPS / ORIMA

27 Conclusion Operational system that can be tailor-made to specific customer s requirements (platform, sensors) and applications Includes high resolution aerial camera and hyperspectral camera Fast data downlink Near-realtime image processing Ad-hoc data cataloguing and dissemination Data interpretation in ground control station Integration of expertise from external experts via web services Highly efficient (WPS) tools for data interpretation

28 Thanks for your attention!

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