Tal Abramovich
Figure 4: GIS data (blue) and hypothesized road features (red and green) overlaid on an orthophoto.
Marked GIS segment is matched with red image segments.
0.6}
04+
Figure 5: Resulted similarity values for two road segments.
5 SUMMARY
In this paper, a method for matching hypothesized road segments, extracted from an aerial image, and road
entities in GIS, has been presented. The main idea is to quantify the similarity between these features. The
matching is based on formulating the problem as a set of fuzzy rules. Using this methodology, a certain input
does not have to “have” or “do not have” a certain property, but could “partially have” that property. This type
of problem formulation is suitable for information extracted automatically from an aerial image.
Preliminary results show that it is possible to obtain a similarity value between a hypothesized road segment in
the image, and a road entity from a GIS. A comparison of the values obtained for a true match and false matches
shows a difference, however there are a few matches with high values.
22 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000.
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