Schramm, Matthias and Landmann, Tobias and Schmidt, Michael and Dech, Stefan (2008) Tree density detection using spectral unmixing without known target spectra. In: Proceedings of the IGARSS, III-310. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 06.-11. Jul. 2008, Boston, Massachusetts, USA. ISBN 978-1-4244-2808-3.
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Detection of subpixel endmember proportions in the realm of land cover and land cover change mapping is imperative when considering new and innovative methods to improve local scale land over estimates. However, often these results are not accurate enough due to rare endmember spectra information. Several studies including spectral unmixing without known target spectra exist, however, the models used herein are based on the assumption that all endmembers extracted from imagery and employed are spectrally ‘pure’. But in medium resolution satellite data especially in semi arid regions for instance pure photosynthesis active vegetation pixels are rare, so these approaches seems to be unsuitable. In this paper, we present a new spectral unmixing model that does not need exact a priori knowledge about endmember spectra. A best fitting function between the endmember types ‚shadow’ and ‚green vegetation’ and the land cover type ‚tree’ is calculated. As an experimental result, a comparison between tree density derived from this approach based on a 15m resolution ASTER dataset and a 1m resolution IKONOS classification is shown to illustrate the accuracy of the model.
|Document Type:||Conference or Workshop Item (Speech, Paper)|
|Title:||Tree density detection using spectral unmixing without known target spectra|
|Journal or Publication Title:||Proceedings of the IGARSS|
|In ISI Web of Science:||No|
|Keywords:||lineare spektrale Entmischung; unbekannte Endmember; Baumdichte|
|Event Title:||IEEE International Geoscience and Remote Sensing Symposium (IGARSS)|
|Event Location:||Boston, Massachusetts, USA|
|Event Type:||international Conference|
|Event Dates:||06.-11. Jul. 2008|
|HGF - Research field:||Aeronautics, Space and Transport (old)|
|HGF - Program:||Space (old)|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||W - Vorhaben Photogrammetrie und Bildanalyse (old)|
|Institutes and Institutions:||German Remote Sensing Data Center > Environment and Security|
|Deposited By:||Martin Schmidt|
|Deposited On:||14 Jun 2010 11:04|
|Last Modified:||18 Apr 2013 13:32|
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