光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2014年
2期
505-509
,共5页
贺金鑫%陈圣波%王阳%吴艳繁
賀金鑫%陳聖波%王暘%吳豔繁
하금흠%진골파%왕양%오염번
高光谱遥感%矿物识别%分类模型%朴素贝叶斯
高光譜遙感%礦物識彆%分類模型%樸素貝葉斯
고광보요감%광물식별%분류모형%박소패협사
Hyperspectral remote sensing%Mineral identification%Classification model%Naive bayes
由于某些矿物,特别是与成矿作用有关的热液蚀变矿物的光谱特征差异较小,更受到矿物混合光谱等因素的影响,导致大多数光谱识别方法对一些光谱特征相似的矿物极易出现混淆和误判现象。因此,针对矿物光谱的“同物异谱”、“同谱异物”现象,提出了一种基于朴素贝叶斯分类模型的高光谱矿物精确识别方法。通过对白云母、高岭石,这两种光谱特征相近的典型蚀变矿物的实验测试、分析,并与光谱角匹配、二进制编码、光谱特征拟合等同类方法进行对比,结果表明该方法能够充分地利用吸收特征波谷位置、吸收特征深度、包络线斜率等多种矿物光谱识别属性特征,进而将不同种类的矿物更明显地予以区分,具有较高的分类识别准确率。
由于某些礦物,特彆是與成礦作用有關的熱液蝕變礦物的光譜特徵差異較小,更受到礦物混閤光譜等因素的影響,導緻大多數光譜識彆方法對一些光譜特徵相似的礦物極易齣現混淆和誤判現象。因此,針對礦物光譜的“同物異譜”、“同譜異物”現象,提齣瞭一種基于樸素貝葉斯分類模型的高光譜礦物精確識彆方法。通過對白雲母、高嶺石,這兩種光譜特徵相近的典型蝕變礦物的實驗測試、分析,併與光譜角匹配、二進製編碼、光譜特徵擬閤等同類方法進行對比,結果錶明該方法能夠充分地利用吸收特徵波穀位置、吸收特徵深度、包絡線斜率等多種礦物光譜識彆屬性特徵,進而將不同種類的礦物更明顯地予以區分,具有較高的分類識彆準確率。
유우모사광물,특별시여성광작용유관적열액식변광물적광보특정차이교소,경수도광물혼합광보등인소적영향,도치대다수광보식별방법대일사광보특정상사적광물겁역출현혼효화오판현상。인차,침대광물광보적“동물이보”、“동보이물”현상,제출료일충기우박소패협사분류모형적고광보광물정학식별방법。통과대백운모、고령석,저량충광보특정상근적전형식변광물적실험측시、분석,병여광보각필배、이진제편마、광보특정의합등동류방법진행대비,결과표명해방법능구충분지이용흡수특정파곡위치、흡수특정심도、포락선사솔등다충광물광보식별속성특정,진이장불동충류적광물경명현지여이구분,구유교고적분류식별준학솔。
The spectral absorption features are very similar between some minerals ,especially hydrothermal alteration minerals related to mineralization ,and they are also influenced by other factors such as spectral mixture .As a result ,many of the spectral identification approaches for the minerals with similar spectral absorption features are prone to confusion and misjudgment . Therefore ,to solve the phenomenon of “same mineral has different spectrums ,and same spectrum belongs to different miner-als” ,this paper proposes an accurate approach to hyperspectral mineral identification based on naive bayesian classification mod-el .By testing and analyzing muscovite and kaolinite ,the two typical alteration minerals ,and comparing this approach with spec-tral angle matching ,binary encoding and spectral feature fitting ,the three popular spectral identification approaches ,the results show that this approach can make more obvious differences among different minerals having similar spectrums ,and has higher classification accuracy ,since it is based on the position of absorption feature ,absorption depth and the slope of continuum .