 IDENTIFICATION OF MATERIALS USING AERIAL HYPERSPECTRAL IMAGESLászló Bekő, Gergely Hunyadi, Kati Laakso and Petri Nygren Acta Carolus Robertus, 2016, vol. 06, issue 01, 8 Abstract: The aerial hyperspectral imagery has a large information content and contains data not just only in the visible light spectra but in the near-infrared and the short-wave infrared spectra as well. Due to this, the technology is applicable to examine and detect preferences and conditions that visible identification is not possible or limited. During the last decade, hyperspectral imagery was successfully used for the analysis of vegetation, soil or minerals. During our research the AISA Fenix1K hyperspectral sensor of the Research Institute was used for data collection with the collaboration of experts from the Finnish sensor producer company near to Siófok. The collected aerial hyperspectral data and the ground spectral data as reference were compared and a spectral library of the examined materials was developed for future classifications. The ability to separate various materials was examined with statistical analyses with which we can determine the spectral separability of target objects. The analysis was fulfilled on the original and on transformed channels as well. According to the results we can conclude that the transformed channels are more applicable to separate these materials which was demonstrated on scatter plots too. Keywords: Environmental Economics and Policy; Research Methods/Statistical Methods (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ags:hukruc:233819 Access Statistics for this article More articles in Acta Carolus Robertus from Karoly Robert University College |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.