1. What can be seen from space ?

  • Physical principles of acquisition (active / passive sensors, light spectra, atmospheric absorption…)
  • Geometry of satellite acquisition (orbits, geo-referencing,…)
  • New missions of CNES, ESA, NASA, DLR
  • How to download a video of your house from the sky

2. Geometric modeling of optical satellites and application to 3D reconstruction

  • Geometric modeling of pushbroom sensors (example of PlĂ©iades)
  • Approximation of the geometric model (RPC, errors, precision, …)
  • Application to stereo rectification for 3D reconstruction (stereovision, epipolar curve)

3. Modeling a Synthetic Aperture Radar instrument

  • Synthetic aperture and chirp
  • Geometric distorsions and geo-referencing
  • Radiometry (backscattering properties, speckle phenomenon,…)

4. How to recover 3D information with optical sensors ?

  • Stereovision overview
  • Matching algorithms classification
  • Local methods (matching costs, cost volume, aggregation, patchmatch)
  • Match filtering
  • Global methods (dynamic programming, semi-global matching)

5. Sub-pixel accuracy in stereo matching with low baseline

  • Error sources in stereo matching: matching errors, fattening effect, noise, aliasing, interpolation errors.
  • How to obtain images without aliasing ?
  • Estimating and attaining subpixel accuracy in stereo matching

6. Generation and exploitation of 3D data

  • DEM, DSM, DTM, orthoimage

7.How to recover 3D information with SAR sensors ?

  • SAR complex signal information
  • interferometry principles
  • beyond 3D with differential interferometry

8. Processing and exploitation of SAR data

  • despeckling approaches for complex vectorial data
  • 3D reconstruction with non local or markovian methods

9. Time series analysis

  • Optical time series analysis
    • registration, normalization, change detection
  • SAR time series analysis
    • multi-temporal denoising
    • change detection methods
    • multi-temporal change analysis