成象光谱图象光谱吸收鉴别模型与矿物填图研究

本文提出了一种光谱吸收鉴别模型，拟通过矿物光谱吸收特征的鉴别，在成象光谱上实现矿物直接识别与填图。该模型的核心是光谱吸收指数技术（ＳＡＩ）。从理论上探讨了ＳＡＩ的本质，应用Ｈａｐｋｅ光谱模型讨论了ＳＡＩ与光谱吸收系数（ｄ）以及单散射反照率（ｗ）之间的函数关系，并从成象光谱图象辐射信息传递过程分析了图象ＳＡＩ与光谱吸收深度的关系，而光谱吸收深度与岩石矿物成分含量之间具有定量关系，这显示了ＳＡＩ提取矿物定量遥感信息能力。ＳＡＩ已经成功地应用于ＦＩＭＳ、ＭＡＩＳ和ＧＥＲＩＳ图象处理与矿物填图，本文通过哈图、塔里木、以及澳大利亚松谷的实例研究，表明ＳＡＩ是一种有效的提取矿物类型与丰度信息的方法。     

成像光谱遥感数据的光谱重建研究

成像光谱遥感数据处理中的一个重要环节是大气辐射纠正，它是成像光谱遥感定量化的重要部分，本文推导出一种简单的方法，对高光谱分辨率航空遥感图象进行大气纠正，反射率图像转换及光谱重建，并在地质资源遥感调查中应用，取得很好的效果，同时，对重建的地物光谱中出现的误差，进行了分析。     

卫星重力梯度向下延拓的谱方法

本文提出在平面近似下解算卫星重力梯度向下延拓问题的谱方法，并采用模拟数据进行了试算，结果表明该方法是有效的。这为利用卫星重力梯度数据精化局部重力场提供了可供参考的方法。     

Influence of resonances on the phase and the group refractive indices of air

The Barrell and Sears and Edlen formulae use the Sellmeier form away from resonances, which gives a “smooth” dependence within the visible and near-infrared spectra. All known atlases indicate numerous resonances in these regions, which cause local disturbance of the dispersion curve. Anomalous dispersion may be estimated from an absorption by the Kramer-Kronig ratios. It gives a change of phase refractive index of air in a range from several ppt to 1 ppb within narrow optical regions, causing large local dispersions. Computation of the group refractive index with the use of Rayleigh's ratio shows that the influence of resonance effects may be more than several ppm. For example, the error of the group refractive index for high-precision EDM using HeNe lasers (633 nm) varies between 0.2 and 0.7 ppm, depending on the laser stability. Received: 17 July 1996 / Accepted: 27 March 1997     

Multispectrum Method and the Computation of Vapor Equation

ＭｕｌｔｉｓｐｅｃｔｒｕｍＭｅｔｈｏｄａｎｄｔｈｅＣｏｍｐｕｔａｔｉｏｎｏｆＶａｐｏｒＥｑｕａｔｉｏｎ①ＪｉＺｈｏｎｇｚｈｅｎ（季仲贞）ａｎｄＷａｎｇＢｉｎ（王斌）ＬＡＳＧ，ＩｎｓｔｉｔｕｔｅｏｆＡｔｍｏｓｐｈｅｒｉｃＰｈｙｓｉｃｓ，ＣｈｉｎｅｓｅＡ...     

江汉油田烃类微渗漏蚀变信息及提取机理

本文围绕烃类微渗漏造成地表土壤蚀变的褪红、粘土矿化和碳酸盐化等3项标志,在江汉油田进行了相关的地球化学信息和光谱信息研究。在研究土壤成分特征的基础上,提出了反映3项蚀变标志的成分因子;在研究土壤光谱特征的基础上,提出了与蚀变成分因子相关的TM波段比值因子;在成分因子及TM波段比值因子的统计分析基础上,探索从室内土壤光谱数据中提取和烃类微渗漏蚀变相关的信息,并为图像特征信息提取奠定了基础。     

Spectral reflectance measurements of estuarine waters

Shapes and variations of reflectance spectra in estuarine water were investigated for the purpose of monitoring chlorophyll in situ by optical means. A survey undertaken in an estuarine environment, using reflectance measurements between 400 and 850 nm with a full-width half maximum (FWHM) of about 2 nm, revealed that the first derivative in the neighbourhood of the chlorophyll absorption band shows a defined spectral region which can be used to estimate chlorophyll concentrations. Correlation between chlorophyll and the first derivative was found to be low, but a good relationship exists between the ratio of the reflectance R680/R670 and chlorophyll concentrations. Based on dissolved organic carbon measurements, it is assumed that chromophoric dissolved organic compounds mask the absorption band of chlorophyll in the blue part of the spectrum, resulting in a low correlation coefficient in that spectral range. Therefore, the use of the red bands is an alternative for measuring photosynthetic pigments in coastal water at longer wavelengths. Results presented here demonstrate that the spectral locations of bands in the visible are not adequate and that hyperspectral data are required for positioning the very narrow bands for measuring chlorophyll at longer wavelengths.     

A bound for the Euclidean norm of the difference between the best linear unbiased estimator and a linear unbiased estimator

 A bound is established for the Euclidean norm of the difference between the best linear unbiased estimator and any linear unbiased estimator in the general linear model. The bound involves the spectral norm of the difference between the dispersion matrices of the two estimators, and the residual sum of squares, all evaluated at the assumed model, but is independent of the provenance of the observation vector at hand. The bound, a straightforward consequence of first principles in Gauss–Markov theory, generalizes previous results on the difference between the best linear unbiased estimator and the ordinary least-squares estimator. In a numerical example from repeated precise levelling, the bound is used to analyse the sensitivity of estimates of vertical motion to the choice of estimator. Received: 9 September 1999 / Accepted: 15 March 2002     

基于KPCA和SAM的城市植被遥感分类研究

研究高分辨率遥感城市绿地信息自动提取技术是城市遥感技术应用亟待解决的问题之一。城市绿地分布破碎,林种多样,林相不齐,具有极强的非线性特征。核主成分分析(KPCA)可以表达图像像素间的高阶关系,因而可以提取图像的非线性特征,同时提供一组相互独立的主成分。通过实验分析核函数的参数,比较变换前后的平均可分性,进行波段选择。将KPCA与SAM分类方法结合,构建基于KPCA的SAM城市植被分类方案。实验结果表明,该方案比传统的分类方法精度高。城市6种绿地类型的分类总精度为80.6%;合并为草地、园地与林地绿地类型时分类总精度达91.7%,可以满足城市植被分类与生态评价的需求。     

天祝-古浪5.4级地震前后波谱异常特征研究

使用CDSN兰州台数字地震记录资料,用IASPEI推荐的Seisg ram谱分析软件,对1996年6月1日发生在甘肃天祝-古浪MS 5. 4地震之前的3个前震和14个余震的波谱特征作了初步研究: ① 在主震后地震的纵横波零频位移谱值的对数比值从1. 2左右下降到1. 0左右; ② 纵横波谱的拐角频率比值和高频衰减斜率比值均由主震前的1. 0下降到主震后的0. 8;③ 各频谱特征量呈现异常的时间基本上同步,其异常形态也相似; ④ 前震的各频谱特征量较余震有明显差异,因而有可能成为预测主震的重要指标。