DOI: 10.1016/j.jag.2013.09.004
Scopus记录号: 2-s2.0-84897845523
论文题名: Hyperion image analysis and linear spectral unmixing to evaluatethe grades of iron ores in parts of Noamundi, Eastern India
作者: Magendrana T ; , Sanjeevi S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期: 1 起始页码: 413
结束页码: 426
语种: 英语
英文关键词: Geochemistry
; Hyperion
; Iron ore grades
; Linear spectral unmixing
; Noamundi
; Spectral curves
Scopus关键词: geochemistry
; Hyperion
; image analysis
; iron ore
; ore deposit
; remote sensing
; spectral analysis
; India
; Jharkhand
; Noamundi Mine
英文摘要: This paper reports the results of a study to differentiate iron ores in terms of their grades, using thehyperspectral (EO-1 Hyperion) image data, covering a mineralized belt in the Noamundi area, easternIndia. The study involves hyperspectral data collection, pre-processing (reduction of atmospheric andsolar flux effects), generation of spectral curves from the image for the iron ore deposits, extraction ofkey spectral parameters and linear spectral unmixing for mapping iron ore abundance. Spectral curves foriron ore deposits extracted from the Hyperion image pixels exhibit strong absorption at 850-900 nm and2150-2250 nm wavelengths, which is typical of iron ores. The strength of the absorption features in thecontinuum removed spectra varies spatially in the image around the mining areas, indicating differencesin composition/grade of the iron ores. Spectral parameters such as the depth, width, area and wavelengthposition of the absorption features, derived from image spectra in the 850-900 nm and 2150-2250 nmregions, correlate well with the concentration of iron-oxide and alumina (gangue) in the ore samplesobtained from the mine face. Well defined correlations are evident between the concentration of ironoxide and (i) the depth of NIR absorption feature (R2= 0.883); (ii) the width of NIR absorption feature(R2= 0.912); and (iii) the area of the NIR absorption feature and (R2= 0.882). Further, the linear spectralunmixing resulted in an iron ore abundance map which, in conjunction with the image- and laboratory-spectra, helped in assessing the grades of iron ores in the study area. Thus, this study demonstrates thefeasibility of discriminating grades of iron ores based on spectral information derived from spacebornehyperspectral imagery. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79707
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil Engineering, SRM University, Chennai 603203, India; Department of Geology, Anna University, Chennai 600025, India
Recommended Citation:
Magendrana T,, Sanjeevi S. Hyperion image analysis and linear spectral unmixing to evaluatethe grades of iron ores in parts of Noamundi, Eastern India[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)