基于Hapke模型多角度孔雀石光谱特性分析
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摘要
岩矿的光谱特征是利用遥感手段识别岩矿的理论基础,随着遥感技术的不断发展,多角度观测为岩矿的遥感精确识别提供了新的思路。选取孔雀石粉末的多角度光谱特征作为研究对象,利用Hapke模型对孔雀石的多角度光谱特征进行精确描述,以确定孔雀石的单次散射反照率的多角度光谱特征。研究表明,光源天顶角和传感器观测天顶角之间的关系对于孔雀石的单次散射反照率有着重要影响,样本的单次散射反照率标准差与其光谱之间整体体现负相关关系。根据这一结论,比较样品单位波长内各角度二向反射率和单次散射反照率标准差,二向反射率受到影响作用较小,故可以利用多角度条件下单次散射反照率波谱特征提高对孔雀石的遥感识别精度。
Hyperspectral remote sensing technology has contributed to the quantitative inversion of mineral content in the visible-near infrared(350-500 nm) band. This paper explores an improved remote sensing mineral identification involved in using this model to convert bidirectional reflectance into the average single-scattering albedo of rocks and minerals, and establishes the average single-scattering albedo spectral function of rocks and minerals. The results show that the relationship between the incident and observed zenith angles significantly influences the average single-scattering albedo of rocks and minerals. The standard single-scattering albedo parameter at each wavelength introduced in the paper can help indicate the presence of more obvious directional characteristics of rock and mineral average single-scattering albedo. The study has revealed a negative correlation between the standard deviation of the average single-scattering albedo and its spectrum. The comparision of the standard deviations of the bidirectional reflectance and the single-scattering albedo for each angle in the sample's unit wavelength demonstrates that the difference in the incident light′s angle barely influences the bidirectional reflectance. Traditional rock identification based on bidirectional reflectivity cannot decompose complex nonlinear rock spectrum data. Based on the model, the average single-scattering albedo can decompose the nonlinear spectrum and approach linear mixing, greatly improving remote sensing rock and mineral identification accuracy.
Hyperspectral remote sensing technology has contributed to the quantitative inversion of mineral content in the visible-near infrared(350-500 nm) band. This paper explores an improved remote sensing mineral identification involved in using this model to convert bidirectional reflectance into the average single-scattering albedo of rocks and minerals, and establishes the average single-scattering albedo spectral function of rocks and minerals. The results show that the relationship between the incident and observed zenith angles significantly influences the average single-scattering albedo of rocks and minerals. The standard single-scattering albedo parameter at each wavelength introduced in the paper can help indicate the presence of more obvious directional characteristics of rock and mineral average single-scattering albedo. The study has revealed a negative correlation between the standard deviation of the average single-scattering albedo and its spectrum. The comparision of the standard deviations of the bidirectional reflectance and the single-scattering albedo for each angle in the sample's unit wavelength demonstrates that the difference in the incident light′s angle barely influences the bidirectional reflectance. Traditional rock identification based on bidirectional reflectivity cannot decompose complex nonlinear rock spectrum data. Based on the model, the average single-scattering albedo can decompose the nonlinear spectrum and approach linear mixing, greatly improving remote sensing rock and mineral identification accuracy.
引文
[1] 杨国鹏,余旭初,冯伍法,等.高光谱遥感技术的发展与应用现状[J].测绘通报,2008,19(10):1-4.
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[9] 陈威,祝明明,曹晓峰,等.遥感-化探信息融合方法在新疆鄯善县大平梁地区找矿靶区预测中的应用[J].地质科技情报,2016,35(6):184-193.
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[12] Besse S,Sunshine J,Staid M,et al.A visible and near-infrared photometric correction for Moon Mineralogy Mapper (M3)[J].Icarus,2013,222(1):229-242.
[13] 田丰.全波段(0.35～25 μm)高光谱遥感矿物识别和定量化反演技术研究[D].北京:中国地质大学(北京),2010.
[14] 韩阳,赵云升,赵乃卓,等.森林土壤多角度高光谱偏振反射影响研究初探[J].光谱学与光谱分析,2009,29(3):702-706.
[15] 闫柏琨,陈伟涛,王润生,等.基于Hapke模型的矿物红外发射光谱随粒度与发射角的变异规律[J].地球科学:中国地质大学学报,2009,34(6):946-954.
[16] 林红磊,张霞,孙艳丽.基于单次散射反照率的矿物高光谱稀疏解混[J].遥感学报,2016,20(1):53-61.
[17] 代晶晶,李庆亭.基于Hapke和Shkuratov模型的斑岩铜矿蚀变带混合波谱研究[J].地质与勘探,2013,49(3):505-510.
[18] Heylen R,Parente M,Gader P.A review of nonlinear hyperspectral unmixing methods[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(6):1844-1868.
[19] Liu J,Yao G Q.Nonlinear decomposition of high spectral mixture pixel based on approximate hapke model and single physical volume method[C]//2012 International Conference on Computer Science & Service System (CSSS).Nanjing:IEEE,2012:393-396.
[20] 李俊生,张兵,申茜,等.太湖水面多角度遥感反射率光谱测量与方向特性分析[J].光谱学与光谱分析,2013,33(9):2506-2511.
[21] Shepard M K,Helfenstein P.A test of the Hapke photometric model[J].Journal of Geophysical Research,2007,112(E3).doi:10.1029/2005JE002625,2007
[22] Mcguire A F,Hapke B W.An experimental study of light scattering by large,irregular particles[J].Icarus,1995,113(1):134-155.
[23] Hapke B,Dimucci D,Nelson R,et al.The cause of the hot spot in vegetation canopies and soils:Shadow-hiding versus coherent backscatter[J].Remote Sensing of Environment,1996,58(1):63-68.
[24] Hapke B.Theory of reflectance and emittance spectroscopy[M].Cambridge:Cambridge Univ.Press,2005.
[25] Mustard J F,Carlé M.Pieters.Photometric phase functions of common geologic minerals and applications to quantitative analysis of mineral mixture reflectance spectra[J].Journal of Geophysical Research Solid Earth,1989,94(B10):13619-13634.
[26] Jacquemoud S,Baret F,Hanocq J F .Modeling spectral and bidirectional soil reflectance.[J].Remote Sensing of Environment,1992,41(2/3):123-132.
[27] 朱和宝,林传易.几种铜碳酸盐矿物的光吸收谱研究[J].矿物学报,1984,4(3):236-244.
[28] Lakshman S M,Reddy B J.Optical absorption spectrum of Mn2+ in rhodonite[J].Physica,1973,66(3):601-610.
[2] 甘甫平,王润生.高光谱遥感技术在地质领域中的应用[J].国土资源遥感,2007,19(4):57-60,127-128.
[3] 童庆禧,张兵,张立福.中国高光谱遥感的前沿进展[J].遥感学报,2016,20(5):689-707.
[4] Pour A B,Hashim M.The application of ASTER remote sensing data to porphyry copper and epithermal gold deposits[J].Ore Geology Reviews,2012,44(1):1-9.
[5] Rogge D,Rivard B,Seq K,et al.Mapping of NiCu-PGE ore hosting ultramafic rocks using airborne and simulated EnMAP hyperspectral imagery,Nunavik,Canada[J].Remote Sensing of Environment,2014,152:302-317.
[6] Eismann M T,Hardie R C.Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions[J].IEEE Transactions on Geoscience and Remote Sensing,2005,43(3):455-465.
[7] Langford R L.Temporal merging of remote sensing data to enhance spectral regolith,lithological and alteration patterns for regional mineral exploration[J].Ore Geology Reviews,2015,68:14-29.
[8] Goetz A F H,Ustin S L,Schaepman M E.Three decades of hyperspectral remote sensing of the Earth:A personal view[J].Remote Sensing of Environment,2009,113(S1):S5-S16.
[9] 陈威,祝明明,曹晓峰,等.遥感-化探信息融合方法在新疆鄯善县大平梁地区找矿靶区预测中的应用[J].地质科技情报,2016,35(6):184-193.
[10] 张斌,张志,帅爽,等.利用Landsat-8和Worldview-2数据进行协同岩性分类[J].地质科技情报,2015,34(3):208-213,229.
[11] 王喆,赵哲,闫柏琨,等.基于Hapke模型混合岩矿粉末反射率光谱模拟[J].国土资源遥感,2017,29(1):186-191.
[12] Besse S,Sunshine J,Staid M,et al.A visible and near-infrared photometric correction for Moon Mineralogy Mapper (M3)[J].Icarus,2013,222(1):229-242.
[13] 田丰.全波段(0.35～25 μm)高光谱遥感矿物识别和定量化反演技术研究[D].北京:中国地质大学(北京),2010.
[14] 韩阳,赵云升,赵乃卓,等.森林土壤多角度高光谱偏振反射影响研究初探[J].光谱学与光谱分析,2009,29(3):702-706.
[15] 闫柏琨,陈伟涛,王润生,等.基于Hapke模型的矿物红外发射光谱随粒度与发射角的变异规律[J].地球科学:中国地质大学学报,2009,34(6):946-954.
[16] 林红磊,张霞,孙艳丽.基于单次散射反照率的矿物高光谱稀疏解混[J].遥感学报,2016,20(1):53-61.
[17] 代晶晶,李庆亭.基于Hapke和Shkuratov模型的斑岩铜矿蚀变带混合波谱研究[J].地质与勘探,2013,49(3):505-510.
[18] Heylen R,Parente M,Gader P.A review of nonlinear hyperspectral unmixing methods[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(6):1844-1868.
[19] Liu J,Yao G Q.Nonlinear decomposition of high spectral mixture pixel based on approximate hapke model and single physical volume method[C]//2012 International Conference on Computer Science & Service System (CSSS).Nanjing:IEEE,2012:393-396.
[20] 李俊生,张兵,申茜,等.太湖水面多角度遥感反射率光谱测量与方向特性分析[J].光谱学与光谱分析,2013,33(9):2506-2511.
[21] Shepard M K,Helfenstein P.A test of the Hapke photometric model[J].Journal of Geophysical Research,2007,112(E3).doi:10.1029/2005JE002625,2007
[22] Mcguire A F,Hapke B W.An experimental study of light scattering by large,irregular particles[J].Icarus,1995,113(1):134-155.
[23] Hapke B,Dimucci D,Nelson R,et al.The cause of the hot spot in vegetation canopies and soils:Shadow-hiding versus coherent backscatter[J].Remote Sensing of Environment,1996,58(1):63-68.
[24] Hapke B.Theory of reflectance and emittance spectroscopy[M].Cambridge:Cambridge Univ.Press,2005.
[25] Mustard J F,Carlé M.Pieters.Photometric phase functions of common geologic minerals and applications to quantitative analysis of mineral mixture reflectance spectra[J].Journal of Geophysical Research Solid Earth,1989,94(B10):13619-13634.
[26] Jacquemoud S,Baret F,Hanocq J F .Modeling spectral and bidirectional soil reflectance.[J].Remote Sensing of Environment,1992,41(2/3):123-132.
[27] 朱和宝,林传易.几种铜碳酸盐矿物的光吸收谱研究[J].矿物学报,1984,4(3):236-244.
[28] Lakshman S M,Reddy B J.Optical absorption spectrum of Mn2+ in rhodonite[J].Physica,1973,66(3):601-610.