波段组合 meaning in English
band combination
Examples
- The proportion of the difference of the portfolios is different between the up phase and the down phase
上升波段和下降波段组合差值的构成比例不同。 - It is different according to study of the purpose , to select the rs data source with different scales , different space resolution , different wave bands making up and different times
根据研究目的不同，选取不同尺度、不同空间分辨率、不同波段组合、不同时相的遥感数据源。 - In the light of field features in desertification areas , the data quality and band combination of different bands are assessed , the indicators , principles and methods for data assessment and band option are put forward to , and optional band combination for desertification monitoring is determined primarily . the data pre - treatment model for desertification monitoring is developed after studying the pre - treatment algorithm of restoration and rebuilding of hyperspectral resolution data . the spectral features and variation rules of different objects in experimental areas are understood and analyzed
针对荒漠化地区的地物特征，对高光谱数据不同波段的数据质量、波段组合进行定性和定量的评价，提出用于数据评价、波段选择的指标、原则和方法；初步确定一个适用于荒漠化监测的优化波段组合，建立适合于荒漠化监测的数据预处理模式；初步分析、掌握研究区内各类地物的光谱特性及变异规律；针对荒漠化地区特点对多种分类方法进行探讨分析；建立荒漠化监测主要评价因子的定量反演模型。 - And understanding and studying the spectral features and variation rules of geo - targets in the experimental area , raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets , realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor , targets and observation direction , and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio . it is suggested that " red edge " range bands of vegetation , which has close relationship with vegetation cover and biomass , is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval , and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover . the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed
研究结果如下：首先针对荒漠化地区的地物特征，对高光谱数据不同波段的数据质量、波段组合进行了评价，提出了适用于荒漠化监测的基本波段选择集；初步了解和掌握了研究地区的地物光谱特性及变异规律，进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础；发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的“同物异谱”现象，对于谱形相似而整体反射率的值相差较大的两类地物，通过引入均值和方差图像参与分类得到解决；研究还表明在植被“红边”范围内的波段是进行荒漠化监测的主要特征波段，这些波段与植被生物量和盖度都有密切的关系，是开展精细植被分类研究和植被定量反演的重要基础；像元的导数光谱分析可以消除土壤背景的影响，是进行植被生物量和盖度定量反演的有力工具；建立了荒漠化监测主要评价因子的定量反演模型，并分析了模型的适用性。