isprsarchives XXXVIII 3 W22 209 2011
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In order to eliminate redundant local fea- tures which are generated by the other objects or texture on build- ing rooftops, we apply a feature selection method which consists of
In this area, the two classification methods have some differences; SOM classifies the whole area as pavement (even with different input parameters), while Bayes
This paper presented a methodology for street region detection by using the following laser scanner data: the NDSM image generated from height data and the
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-3/W22, 2011 ISPRS Conference PIA 2011, 5-7 October, Munich, Germany...
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-3/W22, 2011 ISPRS Conference PIA 2011, 5-7 October, Munich, Germany.. For
In Figure 14 ten façade planes of the Old Pinakothek with the detected window centre positions are shown. For evaluation the planes are divided into three groups: a)
Once the transformation parameters between reference and test device are estimated, it is possible to check how 3D points measured with the reference device
Section 3 explains the proposed algorithm, which is a composite technique using zero mean normal cross correlation, Hausdorff distance and texture analysis.. In section 4, results
