光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
Spectroscopy and Spectral Analysis
2015年
9期
2583-2587
,共5页
杨长保%张晨曦%刘舫%姜琦刚
楊長保%張晨晞%劉舫%薑琦剛
양장보%장신희%류방%강기강
岩石光谱%矿物光谱%线性混合模型%吸收深度
巖石光譜%礦物光譜%線性混閤模型%吸收深度
암석광보%광물광보%선성혼합모형%흡수심도
Rock spectrum%mineral spectrum%Linear mixture model%The absorption depths
岩石的矿物组成成分是影响其反射光谱特征的主要因素之一，是产生各类岩石特征谱带的重要原因。本文选择美国喷气推进实验室提供的岩石样本（包括组成岩石样本的各类矿物百分含量和用 Analytical Spectral Devices （ASD）地物光谱仪测得0．35～2．50μm 波长范围内岩石样本光谱反射率）、岩石所包含的各类矿物的光谱反射率为基础数据，根据岩石和所含矿物的光谱线性混合模型，首先进行了岩石及其矿物成分线性混合模拟实验，实验结果表明基于线性混合光谱理论的岩石矿物模拟模型能够较好的模拟岩石光谱曲线，并且能够保留各个矿物组分的吸收特征。然后从火成岩的岩石光谱中选出含有黑云母矿物的八个样本，研究岩石样本中黑云母含量及其在2．332μm 处反射光谱吸收深度的特征，用线性和非线性等多种常用统计模型拟合了岩石光谱吸收深度与矿物组分黑云母含量之间的响应关系，最后本文将增长型（Growth）和指数曲线型（Exponential）两个模型相结合获得新的拟合模型，利用该模型拟合了岩石光谱吸收深度与矿物组分黑云母含量之间的统计响应关系，拟合结果表明二者的相关系数达到0．9984，标准偏差为0．572，虽然利用 Growth 和 Exponential 模型拟合的标准偏差小于两个模型结合后的新模型拟合的标准偏差，但新模型的相关系数有了显著提高，这说明新模型拟合效果更接近样本的实测值。
巖石的礦物組成成分是影響其反射光譜特徵的主要因素之一，是產生各類巖石特徵譜帶的重要原因。本文選擇美國噴氣推進實驗室提供的巖石樣本（包括組成巖石樣本的各類礦物百分含量和用 Analytical Spectral Devices （ASD）地物光譜儀測得0．35～2．50μm 波長範圍內巖石樣本光譜反射率）、巖石所包含的各類礦物的光譜反射率為基礎數據，根據巖石和所含礦物的光譜線性混閤模型，首先進行瞭巖石及其礦物成分線性混閤模擬實驗，實驗結果錶明基于線性混閤光譜理論的巖石礦物模擬模型能夠較好的模擬巖石光譜麯線，併且能夠保留各箇礦物組分的吸收特徵。然後從火成巖的巖石光譜中選齣含有黑雲母礦物的八箇樣本，研究巖石樣本中黑雲母含量及其在2．332μm 處反射光譜吸收深度的特徵，用線性和非線性等多種常用統計模型擬閤瞭巖石光譜吸收深度與礦物組分黑雲母含量之間的響應關繫，最後本文將增長型（Growth）和指數麯線型（Exponential）兩箇模型相結閤穫得新的擬閤模型，利用該模型擬閤瞭巖石光譜吸收深度與礦物組分黑雲母含量之間的統計響應關繫，擬閤結果錶明二者的相關繫數達到0．9984，標準偏差為0．572，雖然利用 Growth 和 Exponential 模型擬閤的標準偏差小于兩箇模型結閤後的新模型擬閤的標準偏差，但新模型的相關繫數有瞭顯著提高，這說明新模型擬閤效果更接近樣本的實測值。
암석적광물조성성분시영향기반사광보특정적주요인소지일，시산생각류암석특정보대적중요원인。본문선택미국분기추진실험실제공적암석양본（포괄조성암석양본적각류광물백분함량화용 Analytical Spectral Devices （ASD）지물광보의측득0．35～2．50μm 파장범위내암석양본광보반사솔）、암석소포함적각류광물적광보반사솔위기출수거，근거암석화소함광물적광보선성혼합모형，수선진행료암석급기광물성분선성혼합모의실험，실험결과표명기우선성혼합광보이론적암석광물모의모형능구교호적모의암석광보곡선，병차능구보류각개광물조분적흡수특정。연후종화성암적암석광보중선출함유흑운모광물적팔개양본，연구암석양본중흑운모함량급기재2．332μm 처반사광보흡수심도적특정，용선성화비선성등다충상용통계모형의합료암석광보흡수심도여광물조분흑운모함량지간적향응관계，최후본문장증장형（Growth）화지수곡선형（Exponential）량개모형상결합획득신적의합모형，이용해모형의합료암석광보흡수심도여광물조분흑운모함량지간적통계향응관계，의합결과표명이자적상관계수체도0．9984，표준편차위0．572，수연이용 Growth 화 Exponential 모형의합적표준편차소우량개모형결합후적신모형의합적표준편차，단신모형적상관계수유료현저제고，저설명신모형의합효과경접근양본적실측치。
The mineral composition of rock is one of the main factors affecting the spectral reflectance charac-teristics,and it’s an important reason for generating various rock characteristic spectra.This study choose the rock samples provided by Jet Propulsion Laboratory (JPL)(including all kinds of mineral percentage of rocks, and spectral reflectances range from 0.35 to 2.50 μm wavelength measured by ASD spectrometer),and the va-rious types of mineral spectral reflectances contained within the rocks are the essential data.Using the spectral linear mixture model of rocks and their minerals,firstly,a simulation study on the mixture of rock and mineral composition is achieved,the experimental results indicate that rock spectral curves using the model which based on the theory of the linear mixture are able to simulate better and preserve the absorption characteristics of various mineral components well.Then,8 samples which contain biotite mineral are picked from the rock spectra of igneous,biotite contents and the absorption depth characteristics of spectral reflection at 2.332 μm, furthermore,a variety of linear and nonlinear normal statistical models are used to fit the relationship between the depth of absorption spectra and the content of the mineral composition of biotite,finally,a new simulation model is build up with the Growth and the Exponential curve model,and a statistical response relationship be-tween the spectral absorption depth and the rock mineral contents is simulated by using the new model,the fit-ting results show that the correlation coefficient reaches 0.998 4 and the standard deviation is 0.572,although the standard deviation using Growth and Exponential model is less than the two model combined with the new model fitting the standard deviation,the correlation coefficient of the new model had significantly increased, which suggesting that the new model fitting effect is closer to the measured values of samples,it proves that the simulation results of new model is closer to the measured value.
