干旱区生态环境知识资源中心(Arid): Validating (MNF) transform to determine the least inherent dimensionality of ASTER image data of some uranium localities at Central Eastern Desert, Egypt

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DOI	10.1016/j.jafrearsci.2018.08.022
	Validating (MNF) transform to determine the least inherent dimensionality of ASTER image data of some uranium localities at Central Eastern Desert, Egypt
	Shawky, Mahinaz M.1; El-Arafy, Reda A.1; El Zalaky, Mohamed A.1; Elarif, Taha 2
通讯作者	El-Arafy, Reda A.
来源期刊	JOURNAL OF AFRICAN EARTH SCIENCES
ISSN	1464-343X
EISSN	1879-1956
出版年	2019
卷号	149 页码:441-450
英文摘要	One of the main determinations of geological remote sensing is to develop and improve different image processing algorithms and methods for mineral mapping and rock type discrimination. This paper investigates one of those sophisticated algorithms; the validity of Minimum Noise Fraction (MNF) components to improve the spectral separability of The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor image data of Terra satellite, and to develop a standard method of noise removal and image enhancement. Previous studies that used in image processing to eliminate MNF eigenvalues, eliminate values less than the unit. However, removing MNF eigenvalues more than this value and its effect on the data, has not been examined. Therefore, in this paper, we demonstrate that we can eliminate more than the unit up to 2 eigenvalue without a negative inherent effect on the origin data structure. A comparison study using different Image Quality Measures (IQMs) methods, has been accomplished on data distribution before and after MNF transformation of the original and atmospherically corrected data. Matched Filter (MF) classification was performed on data before and after MNF to map a chosen known alteration mineral (Kaolinite) by matching the image endmember spectra and its spectra from USGS library. By examining the spectral trends of specific mineral alteration type across these transformed channels, areas of interest that are unique by the related previous well-known uranium mineralization may become superficial apparent. This examination also showed how the use of MNF as a pre-processing technique could improve the capability to extract information from ASTER data of El-Missikat, EI-Eridya and Kab Amiri areas in the Central Eastern desert as a case study district for uranium mineralization occurrences.
英文关键词	Image processing Minimum Noise Fraction Image Quality Measures Matched Filter Uranium mineralization
类型	Article
语种	英语
国家	Egypt
收录类别	SCI-E
WOS记录号	WOS:000449894400026
WOS关键词	COPPER MINERALIZATION ; QUALITY
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216592
作者单位	1.Nucl Mat Author, POB 530, Cairo, Egypt; 2.Ain Shams Univ, Fac Comp & Informat Sci, Cairo, Egypt
推荐引用方式 GB/T 7714	Shawky, Mahinaz M.,El-Arafy, Reda A.,El Zalaky, Mohamed A.,et al. Validating (MNF) transform to determine the least inherent dimensionality of ASTER image data of some uranium localities at Central Eastern Desert, Egypt[J],2019,149:441-450.
APA	Shawky, Mahinaz M.,El-Arafy, Reda A.,El Zalaky, Mohamed A.,&Elarif, Taha.(2019).Validating (MNF) transform to determine the least inherent dimensionality of ASTER image data of some uranium localities at Central Eastern Desert, Egypt.JOURNAL OF AFRICAN EARTH SCIENCES,149,441-450.
MLA	Shawky, Mahinaz M.,et al."Validating (MNF) transform to determine the least inherent dimensionality of ASTER image data of some uranium localities at Central Eastern Desert, Egypt".JOURNAL OF AFRICAN EARTH SCIENCES 149(2019):441-450.