Towards an Automatic Data Processing Chain for Airborne and Spaceborne Sensors

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 include, but not limited, to:

  • Systems and sensors on planes, helicopters, Remotely Piloted Aerial Systems, and spacecrafts,
  • "Low cost" high-spatial and spectral sensors,
  • Localization, attitude determination,
  • Automatic processing chain for mapping and 3D reconstruction,
  • Data processing chain for passive hyperspectral imaging systems,
  • Inflight calibration,
  • Sensor system verification and validation,
  • Classification and Scene understanding (based on artificial neural networks),
  • Automatic target detection, recognition, and identification.

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

Relevance for ACPR

The workshop covers most of the main topic of ACPR, e.g. Physics-based vision, Object detection / recognition, Scene understanding and supports the conference with extended focus on signal and image processing for air- and spaceborne platforms.

Program Committee

Bin Luo, Wuhan University

Andreas Brunn, Planet Labs

Andreas Eckardt, DLR Berlin Adlershof

Dominik Rueß, HU-Berlin

SU Xin, Wuhan University

WANG Yajun, Wuhan University

Richard Green, University of Canterbury

Ashray Doshi, Auckland University of Technology

Jakub Kolecki, AGH University Cracow

Christian Fischer, DLR Berlin Adlershof

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 1:00pm to 5:00pm

Program (Venue: Hunua 3 @Aotea)

  • Ralf Reulke (Humboldt-Universität zu Berlin) - Welcome and introduction to the workshop
  • Andreas Eckard (German Aerospace Center) - Real time data information technology based on in Orbit data processing (Invited Talk)
  • Winfried Halle (German Aerospace Center) - Infrared-Image Processing for the DLR FireBIRD Mission
  • Ralf Reulke (Humboldt-Universität zu Berlin) - Temperature Dependence of Dark Signal for Sentinel-4 Detector presentation
  • Hongmou Zhang (German Aerospace Center) - An extended stochastic cloning method for fusing multi-relative measurements
  • Claas Ziemke (German Aerospace Center) - The PLATO on-board data processing system architecture in comparison to past and future missions
  • Ralf Reulke (Humboldt-Universität zu Berlin) - Summary, outlook and farewell


Ralf Reulke (reulke at )

Bin Luo (luob at