Detecting Unknown Artificial Urban Surface Materials Based on Spectral Dissimilarity Analysis.

Saved in:
Bibliographic Details
Title: Detecting Unknown Artificial Urban Surface Materials Based on Spectral Dissimilarity Analysis.
Authors: Jilge M; Geomatics/Remote Sensing Group, Geography Department, Ruhr-University Bochum, Universitaetsstrasse 150, D-44780 Bochum, Germany. marianne.jilge@rub.de., Heiden U; German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Muenchner Strasse 20, D-82234 Wessling, Germany. uta.heiden@dlr.de., Habermeyer M; German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Muenchner Strasse 20, D-82234 Wessling, Germany. martin.habermeyer@dlr.de., Mende A; Administrative District Office Zwickau, Department for Surveying, Geodata Management, Scherbergplatz 4, D-08371 Glauchau, Germany. Andre.Mende@landkreis-zwickau.de., Juergens C; Geomatics/Remote Sensing Group, Geography Department, Ruhr-University Bochum, Universitaetsstrasse 150, D-44780 Bochum, Germany. carsten.juergens@rub.de.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2017 Aug 08; Vol. 17 (8). Date of Electronic Publication: 2017 Aug 08.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first