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Mapping without the sun
Zhang, Jixian

Figure 4. Landsat TM data for selected site, bands 7, 5, 4 in colour
bands blue, green and red respectively.
Figure 5. Class label image derived from analysis and
classification of Landsat TM data depicted in figure 4. Of interest
is the hardwood class depicted in green.
Figure 6 Hardwood plantation boundary from inventory database.
5 Results / conclusion
The model was applied to the data producing the results depicted
in figures 7 and 8, which may be compared with the pre model
values shown in figures 5 and 6.
From figure 5 and 7 we observe that the class label image has
more uniform regions after the application of the model, though
the relative contribution of the neighbourhood and boundary
priors was not evaluated here.
From figures 6 and 8, we observe that the hardwood boundary
estimate is improved, though still in error.
The difficulty of updating a boundary in a relatively cluttered DT
surface (figure 9) requires further attention, along with the
specification of the relative weights of each component of the
Figure 7. Resulting class label image produced using the model.
Figure 8. Updated boundary estimate. Although a better estimate,
a portion of the left side of the boundary has not been well
Figure 9. Distance transform of class label boundaries for final
iteration. This defines the topographic surface used for boundary
This work has been supported by the Australian Government
Department of Environment and Heritage, through management
and coordination of the National Carbon Accounting System
Landcover Change Project, details of which can be found at