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Scale-Wavelength Decomposition of Hyperspectral Signals - Use for mineral classification & quantification in a reflective-thermal study of a lignite mining site -

Ehrler, Christoph (2014) Scale-Wavelength Decomposition of Hyperspectral Signals - Use for mineral classification & quantification in a reflective-thermal study of a lignite mining site -. Dissertation, Karlsruher Institut für Technologie (KIT).

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Abstract

Intense lignite mining led to several environmental problems. One is acid mine drainage (AMD), the acidification of soils and waters due to sulphide mineral weathering and mobilisation of heavy metals. The Thesis aims at the spatial mapping of AMD relevant minerals. Data acquisition encompassed a hyperspectral airborne survey in the reflective (HyMap) and a multispectral survey in the thermal (AHS) domains, coupled with spectroscopic reference measurements and laboratory analysis of collected samples. Overlaying spectral absorption features in mineral or soil mixtures can result in very complex spectral signatures. Thus, a multi-scale analysis of spectra at several levels-of-detail and more versatile feature describing parameters would be beneficial. This can be realised by the continuous wavelet transform (CWT). The thesis develops two spectral analysis methods on this multi-scale decomposition approach: The Wavelet Transform Feature Analysis for quantification of mixture components and the Wavelet Coherence Mapper for classification of selected minerals.

Item URL in elib:https://elib.dlr.de/96918/
Document Type:Thesis (Dissertation)
Title:Scale-Wavelength Decomposition of Hyperspectral Signals - Use for mineral classification & quantification in a reflective-thermal study of a lignite mining site -
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ehrler, ChristophChristoph.Ehrler (at) dlr.deUNSPECIFIED
Date:2014
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:223
Status:Published
Keywords:hyperspectral imaging, thermal infrared, mining, acid mine drainge, wavelet decomposition, mineral mapping
Institution:Karlsruher Institut für Technologie (KIT)
Department:Fakultät für Bauingenieurs-, Geo- und Umweltwissenschaften
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Fischer, Dr. Christian
Deposited On:01 Jul 2015 13:24
Last Modified:01 Jul 2015 13:24

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