Title :
Expanding an urban structure type mapping approach from a subarea to the entire city of Berlin
Author :
Voltersen, M. ; Berger, C. ; Hese, S. ; Schmullius, C.
Author_Institution :
Dept. of Earth Obs., Friedrich-Schiller-Univ. Jena, Jena, Germany
fDate :
March 30 2015-April 1 2015
Abstract :
Each city exhibits recurring patterns consisting of similar building types, vegetation structures, and open spaces, enabling environmental and socio-economic investigations of the urban fabric. In this study, urban structure types (UST) of the city of Berlin are mapped on the basis of a prior land cover classification utilizing a synergistic approach of knowledge based classification and Random Forests. The results are then compared to the outcomes of a previous analysis regarding a subarea of the utilized high spatial resolution airborne data. Results show that UST classification based on a combination of prototype objects and Random Forests is suitable to generate accurate UST maps for these areas with only minor adaptations. Future analyses will focus on transferring the processes to different German cities and data of several sensors.
Keywords :
land cover; terrain mapping; Berlin; German city; UST; building structure; environmental investigation; high spatial resolution airborne data; knowledge based classification; land cover classification; open space; random forest; socioeconomic investigation; synergistic approach; urban fabric; urban structure type mapping approach; vegetation structure; Cities and towns; Jacobian matrices;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2015 Joint
Conference_Location :
Lausanne
DOI :
10.1109/JURSE.2015.7120462