Abundance estimation of spectrally similar minerals by using derivative spectra in simulated annealing

被引:45
作者
Debba, Pravesh [1 ]
Carranza, Emmanuel J. M.
van der Meer, Freek D.
Stein, Alfred
机构
[1] Int Inst Geoinformat Sci & Earth Observat, NL-7500 AA Enschede, Netherlands
[2] Univ KwaZulu Natal, Sch Stat & Actuarial Sci, Kwa Zulu, South Africa
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2006年 / 44卷 / 12期
基金
新加坡国家研究基金会;
关键词
abundance; fraction; hyperspectral remote sensing; simulated annealing; unmixing;
D O I
10.1109/TGRS.2006.881125
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
This paper presents a method for estimating the partial abundance of spectrally similar minerals in complex mixtures. The method requires formulation of a linear function of individual spectra of individual minerals. The first and second derivatives of each of the different sets of mixed spectra and the individual spectra are determined. The error is minimized by means of simulated annealing. Experiments were made on several different mixtures of selected endmembers, which could plausibly occur in real situations. The variance of the differences between the first derivatives of the observed spectrum and the first derivatives of the endmember spectra gives the most precise estimates for the partial abundance of each endmember. We conclude that the use of first-order derivatives provides a valuable contribution to unmixing procedures provided that the signal-to-noise ratio is,at least 50:1.
引用
收藏
页码:3649 / 3658
页数:10
相关论文
共 31 条
[21]   Estimating the approximate firing temperature of burnt archaeological sediments through an unmixing algorithm applied to hysteresis data [J].
Linford, N ;
Platzman, E .
PHYSICS OF THE EARTH AND PLANETARY INTERIORS, 2004, 147 (2-3) :197-207
[22]   Second-derivative variance minimization method for automated spectral subtraction [J].
Loethen, YL ;
Zhang, DM ;
Favors, RN ;
Basiaga, SBG ;
Ben-Amotz, D .
APPLIED SPECTROSCOPY, 2004, 58 (03) :272-278
[23]   Estimating erosion surface features by linear mixture modeling [J].
Metternicht, GI ;
Fermont, A .
REMOTE SENSING OF ENVIRONMENT, 1998, 64 (03) :254-265
[24]   Release, transport and attenuation of metals from an old tailings impoundment [J].
Moncur, MC ;
Ptacek, CJ ;
Blowes, DW ;
Jambor, JL .
APPLIED GEOCHEMISTRY, 2005, 20 (03) :639-659
[25]   Using simulated annealing to obtain optimal linear end-member mixtures of hyperspectral data [J].
Penn, BS .
COMPUTERS & GEOSCIENCES, 2002, 28 (07) :809-817
[26]   Counting characters of certain degrees [J].
Robinson, GR .
JOURNAL OF GROUP THEORY, 2000, 3 (01) :1-6
[27]   THE LEAST-SQUARES MIXING MODELS TO GENERATE FRACTION IMAGES DERIVED FROM REMOTE-SENSING MULTISPECTRAL DATA [J].
SHIMABUKURO, YE ;
SMITH, JA .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1991, 29 (01) :16-20
[28]   The attenuation of Ni, Zn and Cu, by secondary Fe phases of different crystallinity from surface and ground water of two sulfide mine tailings in Manitoba, Canada [J].
Sidenko, NV ;
Sherriff, BL .
APPLIED GEOCHEMISTRY, 2005, 20 (06) :1180-1194
[29]   QUANTITATIVE-DETERMINATION OF MINERAL TYPES AND ABUNDANCES FROM REFLECTANCE SPECTRA USING PRINCIPAL COMPONENTS-ANALYSIS [J].
SMITH, MO ;
JOHNSON, PE ;
ADAMS, JB .
JOURNAL OF GEOPHYSICAL RESEARCH, 1985, 90 :C797-C804
[30]   Using imaging spectroscopy to map acidic mine waste [J].
Swayze, GA ;
Smith, KS ;
Clark, RN ;
Sutley, SJ ;
Pearson, RM ;
Vance, JS ;
Hageman, PL ;
Briggs, PH ;
Meier, AL ;
Singleton, MJ ;
Roth, S .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2000, 34 (01) :47-54