Spectral Classification in Lithological Mapping; A Case Study of Matched Filtering

Journal Title: Cumhuriyet Science journal - Year 2017, Vol 38, Issue 4

Abstract

In recent years, a large number of studies have been carried out on determining geological characteristics using remote sensing studies and their usefulness. The integrating satellite images and terrestrial spectral data are used distinguishing lithologies in geological units. The use of remote sensing images helps to save time and to reduce the cost of mapping works. In this study, the usability of ASTER SWIR images in distinguishing rock types and in determination of contacts between lithological units in Kösedağ area between Zara and Suşehri towns of Sivas Province. Syenitic, andesitic, basaltic and ophiolitics rocks are cropt out in this area. Spectral signatures of the representative samples from these rock types were measured via ASD spectroradiometer. The signatures were resampled to ASTER SWIR bandwidth as end member. Matched filtering method was performed on the images for spectral classification. The results showed that distinguishing of the mentioned rock types is possible and the boundaries between rock types on the spectral images are mostly coincided with the boundaries on the 1:100.000 scale geological map of the study area.  

Authors and Affiliations

Önder GÜRSOY, Oktay CANBAZ, Ahmet GÖKÇE, Rutkay ATUN

Keywords

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  • EP ID EP488467
  • DOI 10.17776/csj.349590
  • Views 46
  • Downloads 0

How To Cite

Önder GÜRSOY, Oktay CANBAZ, Ahmet GÖKÇE, Rutkay ATUN (2017). Spectral Classification in Lithological Mapping; A Case Study of Matched Filtering. Cumhuriyet Science journal, 38(4), 731-737. https://europub.co.uk/articles/-A-488467