目标观测 meaning in English
target observation
Examples
- Multiple targets observation algorithm of multi - robot system based on altruism
基于利它性的多机器人多目标观测算法 - Modeling method of finite - difference time - domain based on frequency network models of active devices
提出了基于个性的多目标观测 - At last , aimed at the stochastic system in which the uniform target at the same periods is observed by sensors possessing different characters at multiple scales , we present a method of the multiscale representation based on unregular tree . we develop the multiscale stochastic model based on scale sequence at odd - and even - numbered scale and on different order trees
3 、针对不同尺度上具有不同特性的传感器在相同周期内对同一目标观测的动态系统，给出了一类系统基于不规则树结构的多尺度表示方法，并建立了基于尺度序列奇偶相间阶树、不同阶树的多尺度动态模型。 - 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。