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isprsannals II 3 W5 393 2015

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Figure 1: The proposed building detection technique.
Figure 2: Separating nearby buildings: (a) input (non-ground)point cloud data, (b) extracted building footprint (buildings aremerged), (c) corresponding building mask, (d) boundaries of twoneighbouring roof planes, (e) close segments of plane boundaries(dashed line to test gap between planes) and (f) improved buildingfootprints (buildings are separated).
Figure 3: Change detection: (a) existing building map, (b) extracted buildings from new data, (c) mask from (a) & (b) showing old, newand existing building/parts, (d) mask for old building parts only, (e) morphological opening of (d), (f) estimation of length and width ofa component in (e) or (h), (g) mask for new building parts only, (h) morphological opening of (g), (i) final change detection results.
Table 1: Four test data sets, each from two dates: dimensions inmetres, point density in points/mbuildings within 10 m2, B size indicates the number of2, 25 m2 and 50 m2 in area, respectively.
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