Automated differentiation of urban surfaces based on airborne hyperspectral imagery

The urban environment is characterized by an intense use of the available space, where the preservation of open green spaces is of special ecological importance. Because of dynamic urban development and high mapping costs, municipal authorities are interested in effective methods for mapping urban s...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2001-07, Vol.39 (7), p.1525-1532
Hauptverfasser:	Roessner, S., Segl, K., Heiden, U., Kaufmann, H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Cities and towns Classification Costs Differentiation Hyperspectral imaging Hyperspectral sensors Instruments Iterative methods Mapping Mathematical model Mathematical models Methods Pixel Pixels Remote sensing Spectra Standards development
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