BMVA
British Machine Vision Association and Society for Pattern Recognition
http://www.bmva.org/meetings
Call for Participation
Aerial Image Analysis and Classification
One Day BMVA technical meeting in London, UK, on 12th May 2010
Chair: Toby Breckon (Cranfield University)
Aerial image analysis and classification is a well-established area with
computer vision and image processing for both aerial platform and
satellite based imagery sources. The increased availability of consumer
level high-quality satellite imagery, the increased use and viability of
Unammed Aerial Vehicles (UAV) and a renewed drive in remote sensing for
environmental monitoring has created somewhat of a renaissance in this
area in recent years.
Whilst obvious military surveillance applications pertain within this
domain we are increasingly seeing the use of aerial imagery within the
wider context of domestic security, safety and environmental monitoring
and situational/site awareness applications. The obvious increased
availability of aerial source imagery lends itself well to the increased
use of data-driven analysis and classification in this area.
Additionally, ongoing trends in viable digital high-bandwidth
communications are also facilitating real-time analysis of full-motion
video feeds from aerial platforms in some cases. However, the ever
reducing cost of computation coupled with increasing sensor capabilities
now help drive both research and commercial systems within this domain.
The aim of this meeting is to bring together researchers and
practitioners, from both industry and academia, interested in all
aspects of aerial image analysis and in addition potential future
applications of computer vision work into this domain. Submissions are
invited within in the following areas:
satellite image analysis, classification or object recognition
aerial image quality analysis and enhancement
real-time tracking or detection from aerial platforms
vision techniques as a navigation aid
multi-spectral sensing and data fusion
automated surveillance
terrain classification and derived mapping
remote sensing applications
aerial platform serving/control from imagery
Other topics within the broad domain of aerial image analysis and
classification will also be considered for inclusion.
Please submit an extended summary of about one A4-sized page length (no
longer than 2 pages) in length (PDF preferred). Send contributions by
email attachment (1Mb max please) to Toby Breckon
([log in to unmask]) by 12th April 2010.
Event poster:
http://www.cranfield.ac.uk/~toby.breckon/events/bmva_symp_aerial10_cfp.pdf
Dr Dimitrios Makris
Senior Lecturer
Faculty of Computing, Information Systems and Mathematics
Kingston University, London
Tel: +44 20 8417 7082
Email: [log in to unmask] <mailto:[log in to unmask]>
Web: staffnet.kingston.ac.uk/~ku32195/
<http://staffnet.kingston.ac.uk/~ku32195/>
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