CAJ | 학술논문

传统的与光谱反射率匹配的矿物填图方法受图像质量、大气及环境背景等因素影响较为明显，矿物识别效果较差。针对上述问题提出一种基于多类型光谱特征参数匹配的矿物信息识别方法，综合利用多种光谱特征参数在大气及环境背景变化中的相对稳定性特点，实现矿物信息的高精度识别。选取美国内华达州Cuprite矿区AVIRIS机载可见‐红外光谱成像仪高光谱数据，以 USGS美国地质调查局波谱库中的矿物波数为参照光谱，分别计算AVIRIS影像和USGS波谱库中典型矿物的光谱特征参数，在对多种光谱特征参数综合分析的基础上，构建Cuprite矿区矿物识别模型，进行矿物填图实验。最后使用Clark等在该地区的矿物填图结果数据，对实验结果进行了验证，结果表明：该方法矿物识别结果与Clark等的填图结果吻合度高，整体矿物识别精度达到78.96％。
전통적여광보반사솔필배적광물전도방법수도상질량、대기급배경배경등인소영향교위명현，광물식별효과교차。침대상술문제제출일충기우다류형광보특정삼수필배적광물신식식별방법，종합이용다충광보특정삼수재대기급배경배경변화중적상대은정성특점，실현광물신식적고정도식별。선취미국내화체주Cuprite광구AVIRIS궤재가견‐홍외광보성상의고광보수거，이 USGS미국지질조사국파보고중적광물파수위삼조광보，분별계산AVIRIS영상화USGS파보고중전형광물적광보특정삼수，재대다충광보특정삼수종합분석적기출상，구건Cuprite광구광물식별모형，진행광물전도실험。최후사용Clark등재해지구적광물전도결과수거，대실험결과진행료험증，결과표명：해방법광물식별결과여Clark등적전도결과문합도고，정체광물식별정도체도78.96％。
The traditional mineral mapping methods with remote sensing data ,based on spectral reflectance matching techniques , shows low accuracy ,for obviously being affected by the image quality ,atmospheric and other factors .A new mineral mapping method based on multiple types of spectral characteristic parameters is presented in this paper .Various spectral characteristic pa‐rameters are used together to enhanced the stability in the situation of atmosphere and environment background affecting . AVIRIS (Airborne Visible Infrared Imaging Spectrometer) data of Nevada Cuprite are selected to determine the mineral types with this method .Typical mineral spectral data are also obtained from USGS (United States Geological Survey) spectral library to calculate the spectral characteristic parameters .A mineral identification model based on multiple spectral characteristic param‐eters is built by analyzing the various characteristic parameters ,and is applied in the mineral mapping experiment in Cuprite are‐a .T he mineral mapping result produced by Clark et al .in 1995 is used to evaluate the effect of this method ,results show ,that mineral mapping results with this method can obtain a high precision ,the overall mineral identification accuracy is 78.96% .