Image processing and GIS

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Image processing and GIS

• Group coordinator V. Lacroix (RMA)
• Participants Z_GIS, RMA, Freiberg, CEA,
  Definiens, DLR, Joanneum
• Items to be discussed
• Discussion based on the proposed workflow
• Output subject of this presentation
• List of proposed integrating activities (and
  criteria) coordinator

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Image analysis workflow (Definiens)
Refinement Image Analysis Workflow

• - Most important Pre-processing (autm.
  Coregistration)
• - Most important Image Optimization techniques
  (NDVI, MAD, PCA)
• Dominant Segmentation/Classification/Object
  Detection algorithms
• Potential for Optimization
• - Specifications and necessities for an
  Operational Platform

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WP Standardization

• Ideas for a questionnaire, to be sent to all
  partners
• Preprocessing
• Atmospheric correction (optical, radar, etc.)
• Speckle reduction (QinetiQ CNES)
• Pansharpening
• Image  Optimization 
• NDVI
• Quality inspection
• User/producer accuracies (pixel level)
• Object oriented methods
• Conclusions of the questionnaire as report

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Pre-processing

• Integrating activities
• Coregistration and orthorectification
• Available softwares at DLR, CEA, Joanneum,
• Evaluation problem addressed
• DTM, DSM generation stereo /interferometry
• Trainings proposed at CEA, DLR, Joanneum
• No identified coordinator could be Joanneum

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Segmentation, Classification Object detection

• Test case on Bam (Iran)
• Coordinator CEA
• Partners Definiens, RMA, Freiberg, Z_GIS, JR
• Aims
• Footprints extraction (vectorial layer)
• Damage assessment (raster layer, 0 ? 4)
• Advantages
• Evaluation thanks to ground truth (assessed
  visually), and LIST software (Z_GIS)
• Complete loop test

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Available softwares

• From Joanneum
• RSG (on various platforms) for sensor modelling,
  coregistration, orthorectification, DTM/DSM
  generation, etc.
• IMPACT library for IP (Linux/Windows)
• From DLR coregistration
• From CEA coregistration for SPOT (to be
  confirmed)
• From Juelich MAD as IDL code
• From Z_GIS LIST (GIS extension for ArcView 3.2
  for comparison of object layers)