International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999
image
radiometric
calibration
redefinition of
segm. param.
Fig. 7, Workflow of interrelated segmentation and
classification.
Figures 8 and 9 illustrate this workflow. Figure 8 is an
intermediate result after the first segmentation and mixed pixel
elimination. The category assignment comes from the seed
pixels. Figure 9 is the final result, when all pixels have been
assigned to a segment. In this example, fifteen categories are
distinguished (4 types of built-up land, 6 different crop types, 2
grassland types, wetland, water, and forest)
5. CONCLUSIONS
It has been demonstrated that by using a method of interrelated
segmentation and classification in landcover mapping, better
results can be obtained than with sequential segmentation and
classification.
Possible improvements of this method concern the automation
of the radiometric self-calibration, further development of the
spatial subpixel segmentation, as well as the refinement of the
generic knowledge base for landcover identification.
ACKNOWLEDGEMENTS
This work was financed by the Austrian “Fonds zur Förderung
der wissenschaftlichen Forschung” (FWF, project S7003) and
by the Austrian Federal Ministry of Research and Traffic as part
of the research programme “Sustainable Development of the
Austrian Landscapes”.
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