The effectiveness of spectral similarity measures for the analysis of hyperspectral imagery

In geological imaging spectrometry (i.e., hyperspectral remote sensing), surface compositional information (e.g., mineralogy and subsequently chemistry) is obtained by statistical comparison (by means of spectral matching algorithms) of known field- or library spectra to unknown image spectra. Though these algorithms are readily used, little emphasis has been given to comparison of the performance of the various spectral matching algorithms. Four spectral measures are presented: three that calculate the angle (spectral angle measure, SAM), the vector distance (Euclidean distance measure, ED) or the vector cross-correlation (spectral correlation measure, SCM), between a known reference and unknown target spectrum and a fourth measure that measures the discrepancy of probability distributions between two pixel vectors (the spectral information divergence, SID). The performance of these spectral similarity measures is compared using synthetic hyperspectral and real (i.e., Airborne Visible Infrared Imaging Spectrometer, AVIRIS) hyperspectral data of a (artificial or real) hydrothermal alteration system characterised by the minerals alunite, kaolinite, montmorillonite and quartz. Two statistics are used to assess the performance of the spectral similarity measures: the probability of spectral discrimination (PSD) and the power of spectral discrimination (PWSD). The first relates to the ability of the selected set of spectral endmembers to map a target spectrum, whereas the second expresses the capability of a spectral measure to separate two classes relative to a reference class. Analysis of the synthetic data set (i.e., simulated alteration zones with crisp boundaries at 1–2 nm spectral resolution) shows that (1) the SID outperforms the classical empirical spectral matching techniques (SAM, SCM and ED), (2) that SCM (SID, SAM and ED do not) exploits the overall shape of the reflectance curve and hence its outcomes are (positively and negatively) affected by the spectral range selected, (3) SAM and ED give nearly similar results and (4) for the same reason as in (2), the SCM is also more sensitive (again in positive and negative sense) to the spectral noise added. Results from the study of AVIRIS data show that SAM yields more spectral confusion (i.e., class overlap) than SID and SCM. In turn, SID is more effective in mapping the four target minerals than SCM as it clearly outperforms SCM when the target mineral coincides with the mineral phase on the ground.     

Indicator kriging applied to absorption band analysis in hyperspectral imagery: A case study from the Rodalquilar epithermal gold mining area,SE Spain

A new approach to the analysis of hyperspectral data for the purpose of surface compositional mapping is presented in this paper. We use an interpolated value of the absorption band position and the absorption band depth for the diagnostic of mineral absorption features. Using thresholds for this depth and position, the data is transformed to indicator [0,1] values. By kriging these values, we obtain the probability of exceeding certain absorption depth and the probability of a pixel exhibiting absorption features within a specified wavelength region. Using Bayesian statistics, the indicator kriging derived probabilities are used to produce a hard classification result. By adapting the prior probabilities to the dominant mineralogy in the various alteration facies mapped, data stratification is achieved. The classification results are compared to results derived using the spectral angle mapper and maximum likelihood classification. In addition, the results are statistically compared to field spectral data classified into dominant mineralogy. The indicator approach and the spectral angle mapper produce favourable results relative to field data and in comparison to the maximum likelihood classifier. A data set from the Rodalquilar high-sulfidation epithermal gold system in SE Spain, consisting of HyMAP airborne imaging spectrometer data and ASD field spectra focusing on the key minerals alunite, kaolinite, illite and chlorite, is used to illustrate the methodology.     

Q P and Q S in Beijing and Jianchuan, Yunnan areas

Events from the December 1982 Huairou County, Beijing, and the July 1982 Jianchuan, Yunnan earthquake series were recorded at one station in Beijing City and at four stations in Eryuan area, Yunnan, respectively. Dividing the spectra (for P and S waves) from the smaller events in the series by spectra (for corresponding P and S waves) from the larger events in cach region, we have determined the high frequency source spectral decay rate to be ω⁻¹in both cases. Through trial and error method, we are able to determine the appropriate constantQ _P andQ _S that corrects the individual spectra to the proper high frequency decay rate. It is found that aQ _P of 800 and aQ _S of 550 can adequately compensate for the attenuation of the waves in Beijing area. For Jianchuan, Yunnan area the corresponding values are 900 and 400. This subject is supported by Chinese Joint Seismological Science Foundation.     

Water Absorption Capcapability and Moisture Content Seasonal Changing of Salt-Crust in Lop Nur Dry Lake

正The Lop Nur dry salt lake,Xinjiang province,is charactered by typical physiognomy salt-crust,located in39.6-41.3N.latitude and 89.6-91.4E.longitude.The thickness of salt-crust is about from 20 cm to 100 cm,and     

In-situ measurements of the aerosol size distributions,physicochemistry and light absorption properties of Arctic haze

Thermal and optical techniques were used at Barrow, Alaska during AGASP II (3/20/86–4/7/86) to measure in-situ variability of major aerosol components present in Arctic Haze. The experiment provided continuous data on the concentration, size distribution and relative proportions of sulfate species and refractory aerosol for particle diameters of 0.15 to 5 m. Filter samples were also taken for determination of aerosol optical absorption due to soot (EC-elemental carbon). Although pronounced haze events were absence during this period the haze aerosol present varied in concentration between 2 and 6 g/m³ but showed little change in relative constituents. Apart from local influences, the optical data indicated a persistent fine-mode sulfate aerosol with a NH₄ ⁺/SO₄ ^– molar ratio of about 0.4 and a refractory component of somewhat less than 10% by mass. A preliminary comparison of soot estimates determined from the light absorption data with the size distributions of refractory aerosol observed independently by the optical particle counter showed good agreement during the sample period. In the absence of local pollution, values of single scatter albedo derived from light scattering and light absorption showed similar variation about the average value of 0.86 found by us during flights north of Barrow three years earlier during AGASP I.     

Mie scattering and charge transfer phenomena as causes of the UV edge in the absorption spectra of natural and synthetic almandine garnets

 The UV edge in the electronic absorption spectra of minerals, in many cases influencing their colour, is generally interpreted as the low-energy wing of very strong UV bands caused by ligand–metal charge transfer (CT) transitions (e.g. Burns 1993). However, Mie scattering theory shows that the presence of randomly distributed submicroscopic inclusions with narrow size distribution and a refractive index n _i in a matrix with different refractive index n _m may give rise to a λ-dependent, band-like scattering (e.g. Kortüm 1969). Such scattering bands have so far not been considered as contributing to the UV edge. Single-crystal electronic absorption spectra of eight natural almandine-rich garnets (Alm₆₀–Alm₈₈), two synthetic almandine samples (Alm₁₀₀), all of different colours, and synthetic spessartine were studied by means of a Zeiss microscope-spectrometer in the range 40 000–20 000 cm⁻¹. Special techniques of spectral measurements with crossed analyzer and polarizer, which enable the registration of the scattering effect directly, were used as well. Four of the above garnets were also investigated using transmission electron microscopy. Different types of inclusions, from 10 to several 100 nm in size, were observed in the garnet matrices. They are abundant in cores of synthetic garnets, but very rare in most natural almandines studied. Electronic absorption spectra of the natural almandine garnets show largely varying UV edge position and, hence, intensity at a given wavenumber which correlates with the intensities of spin-forbidden dd bands of Fe³⁺ ions at 27 000 and 28 000 cm⁻¹, superimposed on the long energy slope of the UV absorption. There are also positive correlations between Ti⁴⁺ and Fe³⁺ content, the latter recalculated on the basis of garnet stoichiometry, and UV edge intensity. Thus, the presence of Ti⁴⁺ and Fe³⁺ ions in octahedra, even in very low concentrations (0.0n at. pfu), leads to CT phenomena, that probably involve Fe²⁺ ions in edge-shared dodecahedral position and intensifies ligand- to-metal CT. The different colours of natural almandine garnets with similar Fe²⁺ contents studied here are caused by this effect. Consistent with the absence of inclusions in most natural garnets studied, λ-dependent scattering plays no role in their UV absorption. In contrast, in synthetic almandine and spessartine crystals, a different intensity of UV absorption was observed in inclusion-free rims and inclusion-enriched cores. Some of the latter demonstrate typical scattering patterns when measured at crossed polarizers. Received: 10 April 2001 / Accepted: 27 September 2001     

盐酸介质下火焰原子吸收光谱法测定铅精粉中的高含量银

对于铅精粉中银含量高的样品,特别是银含量大于1000μg/g和含有机质及含硫量高的铅精粉样品,在湿法处理样品过程中因存在难溶解、易包裹、易沉淀,使得银含量的测定结果偏低。针对上述问题,本文从优化样品消解方法出发,研究了铅精矿中银的最佳分析条件。即首先用盐酸除硫,再用硝酸-氢氟酸-高氯酸溶解试样,在20%盐酸介质中,用火焰原子吸收光谱仪于波长328.07 nm测定银的含量。在此实验条件下溶矿完全,提取液清澈,无沉淀。用铅精粉国家标准物质GBW07167、GBW07172和标准样品Pb-3进行验证,方法精密度(RSD,n=12)为1.0%~3.2%,银的测定结果与其标准值吻合较好。本方法制备的样品溶液稳定性较好,分析快速,可测定的银含量高达3000μg/g。     

安徽马鞍山磷铝石宝石矿物学特征研究

近年来在安徽马鞍山地区所在的绿松石矿体附近,相继发现一种绿色、半透明的磷铝石,部分达到宝石级别。本文采用电子探针、X射线粉晶衍射仪、扫描电镜、傅里叶变换红外光谱仪、紫外可见光谱仪等测试技术,对该地区磷铝石的化学成分、矿物成分、微观结构和光谱特征进行对比验证和综合分析,研究其水的赋存形式,进而对磷铝石的呈色机制作了深入探讨。电子探针分析显示该地区磷铝石的化学成分主要以Al、P元素组成,含微量的Fe、V元素。X射线粉晶衍射与红外吸收光谱分析表明主要矿物为磷铝石,基本不含有其他杂质矿物;磷铝石是一种水合磷酸盐矿物,含有结晶水以及少量结构水的矿物,且结晶水与结构水多与Al3+(Fe3+)相结合的形式存在。偏光显微镜和扫描电镜观察显示磷铝石整体以鳞片状集合体产出,微观上多以短柱状及板片状堆积,单个晶体显示斜方晶系结晶生长习性。紫外可见吸收光谱中639 nm处吸收谱峰由Fe3+与V3+联合所致,300、423、864 nm处吸收峰由Fe3+所致,说明Fe3+与V3+的共同作用是马鞍山地区磷铝石呈现绿色的主要原因。本研究对于认识该类磷铝石的宝石矿物学性质以及颜色成因具有一定意义。     

抗坏血酸为基体改进剂石墨炉原子吸收光谱法测定金矿区植物样品中的痕量金

应用石墨炉原子吸收光谱法(GFAAS)测定地球化学样品中的低含量金具有较高的准确度,但用于测定植物样品中痕量金时,传统方法的称样量较大(20 g),样品在马弗炉中灰化不完全,检出限较高(0.29ng/g)。本文确定了应用GFAAS分析金矿区植物样品中痕量金的测定条件,石墨炉的升温程序为:金的灰化温度1000℃,原子化温度2000℃,以抗坏血酸为基体改进剂,瓷坩埚为灰化器皿,且将样品的灰化温度降低到500℃,灰化时间2.0 h,确保了样品灰化完全且待测元素不发生挥发损失。本方法称样量较小(5.0 g),检出限为0.03 ng/g,精密度为6.8%~11.9%,加标回收率为83.8%~104.7%。经过金矿区实际植物样品试验,发现不同植物对金的富集能力相差较大,其中玉米植株对金的富集能力强。     

上覆水溶解氧水平对苏州城市河道底泥吸附/释放磷影响的研究

为了解上覆水体中溶解氧水平对底泥释放磷的影响,采用室内静态模拟的方法,控制在无外源污染的情况下,模拟水体的三种溶解氧水平范围,好氧、厌氧和自然状况,研究不同的溶解氧水平对底泥释放或吸附营养盐的影响。研究结果表明,溶解氧小于0.5mg/L的厌氧状况能加速底泥中磷的释放,溶解氧大于5.0mg/L的好氧状况则抑制底泥中磷的释放。因此要提高水质,降低内源负荷(底泥中)磷的释放,应该控制水体中的各种耗氧物,提高水体的溶解氧水平。