| Attributes | Values |
|---|
| rdf:type
| |
| Description
| - The poster was presented at the GeoMap conference and workshop in Olomouc, in June 2014. Abstract: In contrary to multispectral image data, hyperspectral (HS) imagery with higher spectral resolution provides sufficient spectral resolution to describe diagnostic absorption signatures. Specific chemical bonds in materials, whether solid, liquid or gas, determine I the surface reflectance and emittance, as variations in material composition often cause shifts in the position and shape of absorption bands in the spectrum. In addition, detecting the exact absorption wavelength position is a key factor not only for mineral identification but also for tracking diverse environmental processes and pathways. A couple of techniques to identify absorption parameters have been suggested, however they are capable of a quantitative characterization of just one major absorption feature and, due to the techniques they use, limited to the SWIR region. In this poster a new tools are presented allowing automatic detection of multiple absorption feature parameters (absorption maximum wavelengths and depths). The tools employ methods based on a trend analysis of the spectra, while bad bands (e. g., noise, error bands) are detected at first and excluded from the further analysis. Tools, called QUANTools, have been created using IDL programing language and can be used under ENVI/IDL (version 5.0 and higher). As multiple absorption features are detected within the VNIR/SWIR/TIR regions, respectively their wavelength positions, the newly suggested method has a potential to become a new mapping technique suitable for environments characterized with high heterogeneity and dynamics.
- The poster was presented at the GeoMap conference and workshop in Olomouc, in June 2014. Abstract: In contrary to multispectral image data, hyperspectral (HS) imagery with higher spectral resolution provides sufficient spectral resolution to describe diagnostic absorption signatures. Specific chemical bonds in materials, whether solid, liquid or gas, determine I the surface reflectance and emittance, as variations in material composition often cause shifts in the position and shape of absorption bands in the spectrum. In addition, detecting the exact absorption wavelength position is a key factor not only for mineral identification but also for tracking diverse environmental processes and pathways. A couple of techniques to identify absorption parameters have been suggested, however they are capable of a quantitative characterization of just one major absorption feature and, due to the techniques they use, limited to the SWIR region. In this poster a new tools are presented allowing automatic detection of multiple absorption feature parameters (absorption maximum wavelengths and depths). The tools employ methods based on a trend analysis of the spectra, while bad bands (e. g., noise, error bands) are detected at first and excluded from the further analysis. Tools, called QUANTools, have been created using IDL programing language and can be used under ENVI/IDL (version 5.0 and higher). As multiple absorption features are detected within the VNIR/SWIR/TIR regions, respectively their wavelength positions, the newly suggested method has a potential to become a new mapping technique suitable for environments characterized with high heterogeneity and dynamics. (en)
|
| Title
| - Mineral mapping based on an automatic detection of multiple absorption features
- Mineral mapping based on an automatic detection of multiple absorption features (en)
|
| skos:prefLabel
| - Mineral mapping based on an automatic detection of multiple absorption features
- Mineral mapping based on an automatic detection of multiple absorption features (en)
|
| skos:notation
| - RIV/00025798:_____/14:00000304!RIV15-MSM-00025798
|
| http://linked.open...avai/riv/aktivita
| |
| http://linked.open...avai/riv/aktivity
| |
| http://linked.open...vai/riv/dodaniDat
| |
| http://linked.open...aciTvurceVysledku
| |
| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
| |
| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/00025798:_____/14:00000304
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - mineral mapping, remote sensing, absorption features, hyperspectral imagery, (en)
|
| http://linked.open.../riv/klicoveSlovo
| |
| http://linked.open...ontrolniKodProRIV
| |
| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Kopačková, Veronika
- Jelének, Jan
- Koucká, Lucie
|
![[RDF Data]](/fct/images/sw-rdf-blue.png)
![[cxml]](/fct/images/cxml_doc.png)
![[csv]](/fct/images/csv_doc.png)
![[text]](/fct/images/ntriples_doc.png)
![[turtle]](/fct/images/n3turtle_doc.png)
![[ld+json]](/fct/images/jsonld_doc.png)
![[rdf+json]](/fct/images/json_doc.png)
![[rdf+xml]](/fct/images/xml_doc.png)
![[atom+xml]](/fct/images/atom_doc.png)
![[html]](/fct/images/html_doc.png)