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Journal of Sciences Islamic Republic of Iran، جلد ۳۳، شماره ۴، صفحات ۳۳۱-۳۴۴
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عنوان انگلیسی Application of Remote Sensing Techniques in Enhancement, Detection, and Slicing of Koopan Lateralized Ultrabasics (South of Bavanat, Fars Province)
چکیده انگلیسی مقاله Lateritized ultrabasic units are located in the south of Bavanat in the northeast of Fars province in the east of Koopan village. The current study has used Landsat 8 images for RS processing. This study indicated that the RGB=532 color composite in Landsat 8 image has the best contrast for enhancing and detecting peridotite and serpentinite units. Also, based on the band ratio technique, RGB=(b2/b1), (b5/b1), and (b6/b7) color composite has the best contrast for peridotite and serpentinite units. The Principal Component Analysis technique with the standard method followed the best difference to detect and identify the ultrabasics. Principal Component Analysis method shows that RGB=PC6, PC2, and PC5 for Landsat 8 data have the best contrast for enhancement and detection of peridotite and serpentinite units. Finally, different methods of supervised classification, such as Spectral Angle Mapper, Spectral Information Divergence, and Support Vector Machine, were reviewed. Among these methods, the Spectral Information Divergence technique has the best layout for Landsat 8 images. This important layout as a basic geological map can be useful in additional exploration studies on the Bavanat peridotites.
کلیدواژه‌های انگلیسی مقاله Lateritized ultrabasic,Koopan,Principal component analysis,Supervised classification, high Zagros
نویسندگان مقاله Maryam Zurmand |
1 Department of Geology, Faculty of Sciences, Lorestan University, Khorramabad, Islamic Republic of Iran

Ahmad Ahmadi Khalaji |
1 Department of Geology, Faculty of Sciences, Lorestan University, Khorramabad, Islamic Republic of Iran

Kamal Noori Khankahdani |
2 Department of Geology, Shiraz Branch, Islamic Azad University, Shiraz, Islamic Republic of Iran

Zahra Tahmasbi |
1 Department of Geology, Faculty of Sciences, Lorestan University, Khorramabad, Islamic Republic of Iran

نشانی اینترنتی https://jsciences.ut.ac.ir/article_91385_681f2e273b572e1f70d85536d8f5963a.pdf
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