E- -Learning with Learning with EuroSDR EuroSDR E Arpad Barsi - - PowerPoint PPT Presentation

e learning with learning with eurosdr eurosdr e
SMART_READER_LITE
LIVE PREVIEW

E- -Learning with Learning with EuroSDR EuroSDR E Arpad Barsi - - PowerPoint PPT Presentation

E- -Learning with Learning with EuroSDR EuroSDR E Arpad Barsi Barsi Arpad BME Dept Dept. . of of Photogrammetry Photogrammetry BME and Geoinformatics Geoinformatics and Motto and and goal goal Motto Learning Learning


slide-1
SLIDE 1

E E-

  • Learning with

Learning with EuroSDR EuroSDR

Arpad Arpad Barsi Barsi BME BME Dept Dept. . of

  • f Photogrammetry

Photogrammetry and and Geoinformatics Geoinformatics

slide-2
SLIDE 2

Motto Motto and and goal goal

„Learning Learning by by doing doing” ”

  • Distance

Distance learning learning

  • courses

courses for for EU EU and and non non-

  • EU

EU country country students students

  • with

with a a short short introduction introduction and and social social programs programs

slide-3
SLIDE 3

About About the the organisational

  • rganisational beginning

beginning

  • OEEPE (

OEEPE (Organisation

Organisation Europ Europé éenne enne d d’ ’Etudes Etudes Photogramm Photogrammé étriques triques Exp Expé érimentales rimentales)

) → → European European Experimental Experimental Photogrammetric Photogrammetric Organization Organization

slide-4
SLIDE 4

Membership Membership

  • National

National Mapping Mapping Agencies Agencies ( (NMAs NMAs) + ) + academic academic sphere sphere

  • In

In 2004: 17 2004: 17 member member states states

  • Scientific

Scientific and and administrative administrative meetings meetings

  • 2

2× × year year

slide-5
SLIDE 5

The The transition transition

  • 2003

2003-

  • 2005

2005

  • New

New name name: : EuroSDR EuroSDR ( (European European Spatial Spatial Data Data Research Research) )

  • not

not-

  • for

for-

  • profit organization under Irish

profit organization under Irish company law company law

slide-6
SLIDE 6

Role Role of

  • f Hungary

Hungary

  • Till

Till 2003: 2003: Observer Observer

  • 2004:

2004: organizer

  • rganizer of
  • f EduServ2

EduServ2

  • From

From 2005: 2005: member member (1/7 (1/7 new new legal legal status) status)

  • [A,B,D,SF,H,S,GB]

[A,B,D,SF,H,S,GB]

slide-7
SLIDE 7

Aims Aims

  • Research

Research & & development development in in production production and and dissemination dissemination of

  • f geospatial

geospatial data data, , promote promote applications applications

  • Interaction

Interaction & & cooperation cooperation in in research research and and public public-

  • private

private sector sector, idea , idea exchange exchange and and result result transfer transfer

slide-8
SLIDE 8

Leadership Leadership

  • President

President ( (elected elected for for 2 2 years years): ): Keith Keith Murray Murray (OS) (OS)

  • Science

Science committee committee chairman chairman: : Christian Christian Heipke Heipke ( (Uni Uni Hannover) Hannover)

  • Secretary

Secretary general general: : Kevin Kevin Mooney Mooney (DIT) (DIT)

  • Executive

Executive team: + team: + commission commission chairmen chairmen

  • Steering

Steering committee committee: + : + national national delegates delegates and and project project leaders leaders

slide-9
SLIDE 9

Scientific Scientific commissions commissions

1. 1.

Sensors, primary data acquisition and Sensors, primary data acquisition and georeferencing georeferencing

2. 2.

Image analysis and information Image analysis and information extraction extraction

3. 3.

Production systems and processes Production systems and processes

4. 4.

Core geospatial databases Core geospatial databases

5. 5.

Integration and delivery of data and Integration and delivery of data and services services

slide-10
SLIDE 10

Official Official publication publication

  • Publication

Publication office

  • ffice:

:

BKG BKG

slide-11
SLIDE 11

Recent Recent research research topics topics

  • InterSENSOR-0
  • DirecTRUST (reliability of INS/GNSS orientation)
  • NewPLATFORMS: Unconventional Platforms for Remote Sensing
  • Automated Extraction, Refinement, and Update of Road Databases - from Imagery

and other Data

  • Automatic Tree Extraction
  • EuroSDR Sensor and Data Fusion Contest - Comparison of the Map Information

Content of Airborne SAR and Optical Image Data

  • Automated Change Detection
  • Detection of buildings for cadastral maps
  • Procedures and Methods for Automated DTM Quality Control
  • The Digital Camera Calibration Network
  • Evaluation of building extraction - from imagery and laserscanning data
  • State-of-the-art in Generalisation
slide-12
SLIDE 12

Educational Educational service service

  • Educational

Educational Taskforce Taskforce

  • EduServ1:

EduServ1: Aalborg Aalborg University University (2002) (2002)

  • EduServ2: Budapest (2004)

EduServ2: Budapest (2004)

  • EduServ3: Dublin (2005)

EduServ3: Dublin (2005)

  • EduServ4:

EduServ4: Enschede Enschede (2006) (2006)

slide-13
SLIDE 13

EduServ1 EduServ1 courses courses

A.

  • A. Integrated sensor orientation (C.

Integrated sensor orientation (C. Heipke Heipke – – K. K. Jacobsen, University of Jacobsen, University of Hannover Hannover) ) B.

  • B. Orientation of aerial images on database

Orientation of aerial images on database information (J. information (J. H Hö öhle hle, , Aalborg Aalborg University) University) C.

  • C. Laserscanning

Laserscanning and and interferometric interferometric SAR (K. SAR (K. Tempfli Tempfli – – G.

  • G. Huurneman

Huurneman, ITC , ITC Enschede Enschede, The , The Netherlands) Netherlands)

slide-14
SLIDE 14

Training Training materials materials ( (on

  • n the

the web web) )

slide-15
SLIDE 15

EduServ2 EduServ2 courses courses

A.

  • A. Integrated sensor orientation (C.

Integrated sensor orientation (C. Heipke Heipke – – K. K. Jacobsen, University of Jacobsen, University of Hannover Hannover) ) B.

  • B. Image orientation with GIS data (J.

Image orientation with GIS data (J. H Hö öhle hle – – M. M. Potuckov Potucková á, , Aalborg Aalborg University) University) C.

  • C. Laser scanning and

Laser scanning and interferometric interferometric SAR for SAR for DTM generation (K. DTM generation (K. Tempfli Tempfli, G. , G. Huurneman Huurneman, , ITC ITC Enschede Enschede, The Netherlands) , The Netherlands) D.

  • D. Digital cameras/sensors and data fusion (B.

Digital cameras/sensors and data fusion (B. Csatho Csatho – – C.

  • C. Toth

Toth, The Ohio State University, , The Ohio State University, USA) USA)

slide-16
SLIDE 16

Certificate Certificate

slide-17
SLIDE 17

EduServ3 EduServ3 courses courses

D.

  • D. Digital cameras/sensors (B.

Digital cameras/sensors (B. Csatho Csatho – – C.

  • C. Toth

Toth, , The Ohio State University, USA) The Ohio State University, USA) E.

  • E. Coordinate reference systems and

Coordinate reference systems and transformations for spatial positions (K. transformations for spatial positions (K. Mooney Mooney – – A. Martin, Dublin Institute of

  • A. Martin, Dublin Institute of

Technology, Ireland) Technology, Ireland) F.

  • F. Impacts of improving the positional accuracy of

Impacts of improving the positional accuracy of GI databases (Technical University Berlin) GI databases (Technical University Berlin)

slide-18
SLIDE 18

EduServ4 EduServ4 courses courses

E.

  • E. Co

Co-

  • ordinate systems and transformations for
  • rdinate systems and transformations for

spatial position (10 spatial position (10-

  • 21 April 2006)

21 April 2006) F.

  • F. Positional Accuracy Improvement in GI

Positional Accuracy Improvement in GI databases (1 databases (1-

  • 12 May 2006)

12 May 2006) G.

  • G. Quality of Geospatial Data and the Related

Quality of Geospatial Data and the Related Statistical Concepts (22 May Statistical Concepts (22 May -

  • 2 June 2006)

2 June 2006) H.

  • H. Methods for checking and improving of

Methods for checking and improving of DTMs DTMs (12 (12-

  • 23 June 2006)

23 June 2006)

slide-19
SLIDE 19

Participants Participants

14 11 18 13 15 10 10 15 12 13 5 10 15 20 25 30 35 40 45 50 E duServ1 E duServ2 E duServ3 C

  • urse A

C

  • urse B

C

  • urse C

C

  • urse D

C

  • urse E

C

  • urse F

Sum of students: 47+44+40=131

slide-20
SLIDE 20

Thanks Thanks for for your your attention attention! !