Passive and Active Electro-Optical Sensors for Areal and Space Imaging

The workshop will focus on new and improved methods, techniques and applications for data processing of (electro-optical) sensors on airborne and space platforms. Processing and imaging for such sensors is a challenging task. The causes lie in the mostly complicated detectors and sensors, which have a large radiometric dynamic, and require special correction and pre-processing tasks. On the other hand, these sensors can be spatially, radiometrically and spectrally calibrated. They often require additional effort in terms of ego-localization and orientation. In addition, a permanent (also automatic) determination of the sensor performance (spatial, radiometric and spectral) is necessary. The aim of this workshop is to bring together engineers and scientists from academia, industry and government to exchange results and ideas for future applications of electro-optical remote sensing.

Topics

Topics include, but not limited, to:

  • Systems and sensors on planes, helicopters, Remotely Piloted Aerial Systems, and spacecrafts
  • Active and passive optical sensors: capabilities and technologies
  • "Low cost" high-spatial and spectral resolution sensors
  • Passive hyperspectral imaging for precision farming, and remote laser spectroscopy for identification material types and detect the presence of specific chemical species
  • Data processing
  • Applications: agriculture and forestry; security and monitoring surveillance; target tracking; environmental monitoring: natural disasters, fire, volcanic activity, earthquake; land use, land cover, change detection; 3D terrain and object reconstruction; atmospheric phenomena
  • Automatic target detection, recognition, and identification
  • Fusion of the data from multiple sensors having different resolutions, spectral ranges, perspectives and modes of operation allows enhance recognition and identification process
  • Calibration accuracy and robustness, and advances of in-motion calibration.

Other important points for sensor and platform description are calibration standards, testing standards and image quality assurance procedures. 

Goals/Motivation

Advances in the miniaturisation, performance and low cost sensors, has allowed researchers access to camera technology for wide-ranging applications.

 

Developments in sensor fusion and the proliferation of platforms offers researchers opportunities to extend the range of devices available.  However, there is still a need to provide quality assurance of sensors, such as calibration, to minimise artefacts and bias in the data received and facilitate high-quality processing.

Program Committee

Bin Luo, Wuhan University

Byron Smiley, Planet Labs

Andreas Brunn, Planet Labs

Andreas Eckardt, DLR Berlin Adlershof

Clive Fraser, University of Melbourne

Norbert Haala, University of Stuttgart

Peter Reinartz, DLR Oberpfaffenhofen

Mark R. Shortis, RMIT Melbourne

Ruediger Hohn, Airbus DS

Dominik Rueß, HU-Berlin

Jens Kremer, IGImbH Kreuztal

Uwe Sörgel, University of Stuttgart

Jakub Kolecki, AGH University Cracow

Christian Fischer, DLR Berlin Adlershof

Heinz-Wilhelm Hübers, DLR Berlin Adlershof

Petra Helmholz, Curtin University

Krzysztof Bakuła, Warsaw University of Technology

Important Dates

  • Paper registration (Authors, title, and abstract): 24th July 2019
  • Deadline for submission of papers: 1st August 2019
  • Submission of supplementary material: 8th August 2019
  • Notification to Authors: 1st September 2019
  • Submission of camera ready version: 1st October 2019
  • Workshop duration: 26th November, 2019, from 13:00 to 18:00

Program

  • Ralf Reulke (Humboldt-Universität zu Berlin) - Welcome and introduction to the workshop
  • Anko Börner (German Aerospace Center),Developing spaceborne imaging sensors – look in the past and in the future (Invited Talk)
  • Juergen Wohlfeil (German Aerospace Center), In-orbit geometric calibration of firebird's infrared line cameras
  • Henry Meissner (German Aerospace Center), Evaluation of Structures and Methods for Resolution Determination of Remote Sensing Sensors

Chairs

Ralf Reulke (reulke at informatik.hu-berlin.de )

Petra Helmholz (Curtin University, Perth)