By Topic

Comparison of Multi- and Hyperspectral Remote Sensing Data for Use in Comprehensive Urban Biotope Mapping

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Mathias Bochow ; Helmholtz Centre Potsdam - German Research Centre for Geosciences (GFZ Potsdam), Section 1.4 Remote Sensing, Telegrafenberg, A 17, 14473 Potsdam, Germany; phone (+49)331-288-1198, fax (+49)331-228-1192,, ; Karl Segl ; Hermann Kaufman

We classified 922 urban biotopes from 11 different biotope types in a 50.6 km2 study area in Berlin, Germany. As input advanced data products were derived from hyperspectral and simulated multispectral data. Urban surface materials were derived from the hyperspectral data by classification and linear spectral unmixing. Multispectral data was classified using four different per-pixel and object-oriented classifiers. The results show that our developed method for biotope classification works well with hyperspectral and with multispectral input data yielding comparable overall accuracies of 88.1 and 91.3 percent.

Published in:

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium  (Volume:5 )

Date of Conference:

7-11 July 2008