Spectral Angle Mapping Using Image Spectra in ASTER Data (Case Study: Firouzabad Salt Domes, Fars)

Document Type : Original Article

Author

Amin Institute of Higher Education, Department of Geography, Foolad Shahr, Isfahan, Iran

Abstract

Many commonly used spectral image analysis techniques are based on the fact that remotely sensed imagery is sampled with numerous spectral bands at narrow bandwidths, making it possible to construct a spectrum for each pixel in the image. The spectrum can then be compared with the spectra of known pure materials such as minerals, rock, vegetation, and soil and pixels which are similar to this spectrum can be distinguished. Many of techniques, despite their primary design for use with hyperspectral data, can be applicable logically to multispectral data such as, ASTER. Spectral Angle Mapping (SAM) was performed using spectra extracted from ASTER images to enhance geological phenomena in Firouzabad salt domes, Fars (Konarsiah & Jahani). Pure extraction spectra include the spectrum of green vegetation, illite, gypsum and calcite. Enhancement of area vegetation and clay, lime and gypseous rock units are the result of the process. The results were compared with geological map, field observations and the accuracy of processing was evaluated.

Keywords

References

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Geography and Human Relationships
Volume 3, Issue 2 - Serial Number 10
September 2020
Pages 136-142

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History

  • Receive Date: 16 September 2019
  • Accept Date: 17 September 2020

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