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So far simulation activities have been limited to system
definitions (e.g. SARSIM at ESA). New pieces of software
(e.g. simulations from Kansas University) indicate that in view
of simulating SAR scenes, a significant effort has to be
developed, in terms of instrumentation:
- at the level of setting up reliable microwave data banks
(e.g. scattering coefficients versus frequency,
polarisation, incidence. angle, etc...)
- at the level of computing time, to produce a simulated scene
in a practical time.
it.is clear .thaet.this point is s key.issue for.the near. future.
3,5 Extraction of Information
Resulting from a coherent process, SAR images feature
multiplicative noise (speckle). This speckle prevents one from
using filtering techniques developed for other sources of
imagery (e.g. Landsat).
Two trends have been identified, in particular during the
Frascati and Üttawa meetings:
- the development of general tools (e.g. segmentation
techniques) for images featuring speckle
- the development of specific, application oriented filtering
techniques (e.g. adaptive filtering at CCRS, wave spectrum
extraction gt MAL and APL etc...)
These long term developments, based on theoretical studies and
modelling by (amongst others), V.S. Frost, R.K. Raney and
Steve Rotheram, are not only aimed at a better understanding of
the information content of SAR images but also subject of
practical investigations.(e.g. tracking.of.spectral neaks at
APL, image spectrum to wave spectrum algorithm facility at
ESRIN-EPO Frascati, etc...). Up to date information in that
respect will be reported during the sessions of Rio de Janeiro.
3.6 Radargrammetry and Merging of Multi-Sensor Data
Radargrammetry deserves particular attention. Although
| specific equipment for radargrammetric work does not exist, it
has been shown (Ottawa meeting) that existing analytical
|
plotters, orthophoto instruments and digital image processing
systems can be successfully employed for work with radar
images. Work in this field is also subject of continuous
updating at every meeting.
Although they constitute two different areas, we use to relate
radargrammetry and use of multi-sensor data as the latter
imposes more constraints on geometrical aspects (e.g. use of
digital terrain models).