PCA and SVM as geo-computational methods for geological mapping in the southern of Tunisia, using ASTER remote sensing data set
- 225 Downloads
The purpose of this study was to examine the efficiency of Advanced Space Borne Thermal Emission and Reflection Radiometer (ASTER) data in the discrimination of geological formations and the generation of geological map in the northern margin of the Tunisian desert. The nine ASTER bands covering the visible (VIS), near-infrared (NIR) and short-wave infrared (SWIR) spectral regions (wavelength range of 400–2500 nm) have been treated and analyzed. As a first step of data processing, crosstalk correction, resampling, orthorectification, atmospheric correction, and radiometric normalization have been applied to the ASTER radiance data. Then, to decrease the redundancy information in highly correlated bands, the principal component analysis (PCA) has been applied on the nine ASTER bands. The results of PCA allow the validation and the rectification of the lithological boundaries already published on the geologic map, and gives a new information for identifying new lithological units corresponding to superficial formations previously undiscovered. The application of a supervised classification on the principal components image using a support vector machine (SVM) algorithm shows good correlation with the reference geologic map. The overall classification accuracy is 73 % and the kappa coefficient equals to 0.71. The processing of ASTER remote sensing data set by PCA and SVM can be employed as an effective tool for geological mapping in arid regions.
KeywordsPCA SVM ASTER Geological mapping Tunisia
We thank the CERTE (Centre de Recherche et des Technologies des Eaux, Tunisie), the ONM (Office National des Mines, Tunisie), the CESBIO (Centre d’Etudes Spatiales de la Biosphère, France), and LISAH (Laboratoire d’étude des Interactions Sol Agrosystème Hydrosystème, France) for material assistance and guidance that provided for the completion of this work. We thank the editor and the reviewers for valuable comments and suggestions.
- Adler-Golden SM, Berk A, Bernstein LS, Richtsmeier SC, Acharya PK, Matthew MW, Anderson GP, Allred C, Jeong L, Chetwynd J (1998) FLAASH, a MODTRAN4 atmospheric correction package for hyperspectral data retrievals and simulations. AVIRIS Geoscience Workshop, Pasadena. Jet Propulsion Laboratory, CA, USAGoogle Scholar
- Bishop JL, Pietres CM, Dyar MD, Hamilton VE, Harloff J (2002) A spectral, chemical and mineralogical study of Mars analogue rocks. Lunar and Planetary Science XXXIII, LPI, Houston, TXGoogle Scholar
- ERSDAC (2003) Earth remote sensing data analysis center. Crosstalk correction software User’s guide. Mitsubichi Space Software Co. Ltd., Tokyo, pp. 1–17Google Scholar
- Hsu CW, Chang CC, Lin CJ (2016) A practical guide to support vector classification. National Taiwan University. https://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf. Accessed 19 May 2016
- Japan Space Systems (2012) Available from: http://www.jspacesystems.or.jp. Accessed 30 Mar 2012
- Li PJ, Long XY, Liu L (2007) Ophiolite mapping using ASTER data: a case study of Derni ophiolite complex. Acta Petrol Sin 23(5):1175–1180Google Scholar
- Okada K, Ishii M (1993) Mineral and lithological mapping using thermal infrared remotely sensed data from ASTER simulator. International Geosciences and Remote Sensing Symposium “Better Understanding of Earth Environment” 93:126–128. doi: 10.1109/IGARSS.1993.322501
- Pour AB, Hashim M (2011) Spectral transformation of ASTER data and the discrimination of hydrothermal alteration minerals in a semi-arid region, SE Iran. International Journal of the Physical Sciences 6(8):2037–2059Google Scholar
- Richards JA, Xiuping J (1998) Remote Sensing Digital Image Analysis, 3rd edn. Springer, Berlin, p. 363Google Scholar
- Salisbury JW, Walter LS, Verge N (1987) Mid-infrared (2.1–25 μm) spectra of minerals, 1st ed. United States Geological Survey, Open File Report, USGS, Washington, DC, p 87–263Google Scholar
- Zouari H, Ouled Ghrib A, Ben Ouezdou H, Zargouni F (1989) Geological map of El Ayacha, scale 1:100000 Geological Series, Sheet 67. National Office of Mines (ONM) Geological Survey of TunisiaGoogle Scholar