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optimal band
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  最佳波段
    In this paper,the optimal combination wavebands(B20,B1 and B29) are screened out from 36 MODIS wavebands for deriving the color-enhanced composed images of monitoring dust storms using EOS/MODIS data,optimal band combination index method and variance-covariance matrix eigenvalue method after analyzing and summarizing the predecessors' research achievements.
    利用EOS/MODIS数据,采用最佳波段组合指数法和方差-协方差矩阵特征值法,从36个MODIS波段中筛选出用于沙尘暴图像最佳彩色合成增强的组合波段是B20,B1,B29(BXX表示波段号位XX的反照率或亮温值,下同)。
短句来源
    Optimal Band Selection Methods of Hyperspectral Remote Sensing Data
    高光谱遥感数据最佳波段选择方法研究
短句来源
    It is very important making optimal band combination in numerous bands for false color synthesis according to specific application purpose for further managements analysis and information extraction of hyperspectral remote sensing dada.
    如何根据具体的应用目的,在众多的波段中选取最佳波段组合用于假彩色合成以突出感兴趣的区域,对于有效的进行高光谱数据处理、分析及信息提取至关重要。
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  optimal band
The question therefore stands, 'is there an optimal band for moisture transport, for a given set of conditions?'.
      
A practical algorithm to design fast and optimal band-Toeplitz preconditioners for hermitian toeplitz systems
      
We obtain an asymptotic expression for an optimal band-width and we propose to use a plug-in methodology in order to estimate this bandwidth through preliminary estimates of the unknown quantities.
      
The vector quantizations, optimal band reordering, and clustered prediction techniques were involved.
      
The MTM method uses a bank of optimal band pass filters to compute the estimate.
      
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In this article, the correlation between MODIS (Moderate Resolution Imaging Spectroradiometer) spectral data and atmospheric horizontal visibility (AHV) was analyzed over the South China coastal area during October 2002 to August 2003. Firstly the MODIS images were classified into four categories, which are: clear sky (Ⅰ), fog and lower layer cloud (Ⅱ), cumulonimbus (Ⅲ), and the rest (Ⅳ). Then the optimal bands were selected to minimize correlated bands and maximize their correlation coefficients...

In this article, the correlation between MODIS (Moderate Resolution Imaging Spectroradiometer) spectral data and atmospheric horizontal visibility (AHV) was analyzed over the South China coastal area during October 2002 to August 2003. Firstly the MODIS images were classified into four categories, which are: clear sky (Ⅰ), fog and lower layer cloud (Ⅱ), cumulonimbus (Ⅲ), and the rest (Ⅳ). Then the optimal bands were selected to minimize correlated bands and maximize their correlation coefficients to MHV. Statistic analysis showed that certain relationship did exist between visibility and surface reflectance of MODIS. Situations Ⅰ and Ⅲ achieved better results (correlation coefficient above 0.6 and 0.9, exceeding 95% confidence level), which is because of their relatively fixed atmospheric composition and simple extinction process. While Category Ⅱ is a more complex atmospheric condition and thus results in relatively low retrieval precision, with correlation coefficient 0.5 and 94.2% confidence level. Finally categorized regression models were built and simulated results were compared to real observations. Therefore, the classified statistical retrieval model based on atmospheric conditions is an effective method for AHV retrieval problem.

利用2002年10月~2003年8月的中分辨率成像光谱数据MODIS(ModerateResolutionImagingSpectrora-diometer)和华南沿海及海上能见度观测数据,对华南海域连续的、长时间序列的能见度遥感监测和定量反演进行了试验。将MODIS影像分为:晴空(Ⅰ);雾和低云(Ⅱ);有降水积云(Ⅲ)和其它(Ⅳ)4类,并按照通道间相关性最小和与大气水平能见度相关最大的原则进行通道筛选。初步分析表明,水平能见度确实与MODIS卫星表观反照率存在一定的函数关系。在此基础上,对每一类进行通道筛选和特征因子提取,建立分类的反演经验模型进行大气水平能见度的遥感反演,并与观测结果进行了比较。结果表明,在Ⅰ和Ⅲ类大气状况条件下,能见度的反演结果较好(相关系数分别达到0.6和0.9,远大于95%信度检验水平),而大气状况较为复杂的II类反演精度较低,相关系数只有0.5(仅达94.2%显著性检验水平)。由此可见,对于海上下垫面均一、而大气状况复杂的遥感反演问题,根据大气状况分类简化的统计反演是较为有效的1种方法。同时,对大气的辐射消光特性的了解和MODIS通道特性的分析,也是决定反演结果的重要因素。

In this paper,the optimal combination wavebands(B20,B1 and B29) are screened out from 36 MODIS wavebands for deriving the color-enhanced composed images of monitoring dust storms using EOS/MODIS data,optimal band combination index method and variance-covariance matrix eigenvalue method after analyzing and summarizing the predecessors' research achievements.Based on referring the research achievements about the spectral characteristics of dust storms,analyzing the sensitivity difference of wavebands and...

In this paper,the optimal combination wavebands(B20,B1 and B29) are screened out from 36 MODIS wavebands for deriving the color-enhanced composed images of monitoring dust storms using EOS/MODIS data,optimal band combination index method and variance-covariance matrix eigenvalue method after analyzing and summarizing the predecessors' research achievements.Based on referring the research achievements about the spectral characteristics of dust storms,analyzing the sensitivity difference of wavebands and using the waveband mathematical combination,the conditions of recognizing dust storms are explored: 1 ≤(B17-B8)/(B6-B2) ≤ 10,1 ≤(B23-B32)/(B17-B8) ≤ 1.6,(B17-B8)/(B6-B2) >(B23-B32)/(B17B8).After comparing and analyzing some different images of dust storms,it is verified that these conditions have universality.The satellite remote sensing index(SVI=(B17-B8)/(B6-B2)) of monitoring dust storms is developed for deriving the information of extent and intensity grades of dust storms,on which dust storms are classified into 5 grades using SVI values.

利用EOS/MODIS数据,采用最佳波段组合指数法和方差-协方差矩阵特征值法,从36个MODIS波段中筛选出用于沙尘暴图像最佳彩色合成增强的组合波段是B20,B1,B29(BXX表示波段号位XX的反照率或亮温值,下同)。在敏感性差异分析的基础上,应用波段数学组合的方法,建立了判识沙尘暴的条件:1≤(B17-B8)/(B6-B2)<10,1≤(B23-B32)/(B17-B8)≤1.6,(B17-B8)/(B6-B2)>(B23-B32)/(B17-B8),构建了提取沙尘暴区域范围和强度等级信息的沙尘暴卫星遥感监测指数SVI=(B17-B8)/(B6-B2),利用指数SVI值的大小对沙尘暴进行了5个等级的定级和分类。

 
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