Wordmark GFZ Potsdam

Publications

 
(Co) Author: Bochow, M.



  • Greiwe, A..; Bochow, M.; Ehlers, M. (2004): Segmentbasierte Fusion geometrisch hoch aufgelöster und hyperspektraler Daten zur Verbesserung der Klassifikationsgüte am Beispiel einer urbanen Szene. Photogrammetrie Fernerkundung Geoinformation (PGF), 6, 485-494.

  Book  

  • Bochow, M. (2010): Automatisierungspotenzial von Stadtbiotopkartierungen durch Methoden der Fernerkundung , Logos Verlag Berlin GmbH, 197.









  • Lakes, T.; Kim, H.-O.; Bochow, M.; Kleinschmitt, B. (2007): Comparison of Different High Resolution Remote-Sensing Data and Approaches for Mapping the Urban Environmen. - In: Kenneweg, H.; Tröger, U. (Eds.), Planning the urban environment : 2nd International Congress on Environmental Planning and Management - Visions, Implementations, Results, August 5th - 10th 2007, Technische Universität Berlin, Technische Univ., 111-115.


  • Bochow, M. (2005): The Maximum of Separability - A Comparative Study of Transformation Methods for the Hyperspectral Feature Space. - In: Kappas, M.; Erasmi, S.; Cyffka, B. (Eds.), Remote Sensing & GIS for Environmental Studies: Applications in Geography, Goltze, 265-272.


  • Gerl, T. M.; Kreibich, H.; Bochow, M. (2013): Urban structure mapping using high-resolution remote sensing data for modelling flood losses in Dresden, Germany. General Assembly European Geosciences Union (Vienna, Austria 2013).












  • Bochow, M.; Taubenböck, K.; Segl, K.; Kaufmann, H. (2010): An automated and adaptable approach for characterizing and partitioning cities into urban structure types. Proceedings, 30th anniversary IGARSS - IEEE International Geoscience and Remote Sensing Symposium (Honolulu 2010), 1796-1799.


  • Bochow, M. (2009): Towards an automated update of urban biotope maps using remote sensing data: What is possible?. Posterbeitrag, Workshop 'Waiting for EnMap - preparing methods for detailed land cover analysis' (Potsdam 2009).



  • Bochow, M.; Segl, K.; Kaufmann, H. (2008): Comparison of multi- and hyperspectral remote sensing data for use in comprehensive urban biotope mapping.. Proceedings of the International Geoscience and Remote Sensing Symposium, 2008 IEEE International Geoscience & Remote Sensing Symposium - IGARSS (Boston 2008).


  • Bochow, M.; Segl, K.; Kaufmann, H. (2007): An update system for urban biotope maps based on hyperspectral remote sensing data. 5th EARSeL SIG IS workshop 'IMAGING SPECTROSCOPY': innovation in environmental research' (Oud Sint-Jan, Bruges, Belgium 2007).

  • Bochow, M.; Segl, K.; Kaufmann, H. (2007): Automating the Build-Up Process of Feature-Based Fuzzy Logic Models for the Identification of Urban Biotopes from Hyperspectral Remote Sensing Data. Urban Remote Sensing Joint Event: URBAN 2007 - URS 2007 (Paris 2007).



  • Bochow, M.; Segl, K.; Kaufmann, H. (2006): Potential of hyperspectral remote sensing for the monitoring of urban biotopes. First Workshop of the EARSeL Special Interest Group on Urban Remote Sensing 'Challenges and Solutions', First Workshop of the EARSeL Special Interest Group on Urban Remote Sensing 'Challenges and Solutions' (Berlin 2006), CD.

  • Segl, K.; Bochow, M.; Roessner, S.; Kaufmann, H.; Heiden, U. (2006): Feature-based identification of urban endmember spectra using hyperspectral HyMap data. First Workshop of the EARSeL Special Interest Group on Urban Remote Sensing 'Challenges and Solutions', 1st EARSeL Workshop of the SIG Urban Remote Sensing (Berlin 2006), CD.


  • Bochow, M. (2005): Improving class separability - A comparative study of transformation methods for the hyperspectral feature space. 4th EARSel Workshop on Imaging Spectroscopy (Warsaw 2005), 485-496.


  • Bochow, M.; Greiwe, A.; Ehlers, M. (2003): Ein Prozessmodell zur Analyse von Hyperspektraldaten in urbanen Gebieten. Tagungsband, 23. Wissenschaftlich-Technische Jahrestagung der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (DGPF) (Bochum 2003), 255-264.

  • Greiwe, A.; Bochow, M.; Ehlers, M. (2003): Fusion of Multisensor Remote Sensing Data for Urban Land Cover Classification. Remote sensing for environmental monitoring, GIS applications, and geology III (Barcelona 2003).








  • Bochow, M. (2002): Entwicklung und Vergleich verschiedener Algorithmen zur Klassifikation ausgewählter Versiegelungsarten in urbanen Gebieten aus hyperspektralen Scannerdaten. Institut für Umweltwissenschaften, Hochschule Vechta, 1-107.





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