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搜索结果: 1-15 共查到uncertainties相关记录100条 . 查询时间(0.12 秒)
近日,国家地理信息系统工程技术研究中心陈能成教授团队在地球科学领域顶级期刊《Earth-Science Reviews》(IF=12.413)上刊发研究成果—Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions。该文针对地球系统...
Current approaches to reconstructing past climate by using tree-ring data need to be improved on so that they can better take uncertainty into account, new University of Otago-led suggests.Tree growth...
SAR images of river inundation prove to be very relevant for operational flood management. However, common exploitation of satellite images of floods is generally restricted to a flood extent extracti...
This paper deals with the retrieval of vanishing points in uncalibrated images. Many authors did work on that subject in the computer vision field because the vanishing point represents a major inform...
In the remote sensing data not only have radiation error and geometry error, need geometry correction and radiometric correction, but most of them also have “same object different spectrum”and”same sp...
The maintenance of satellite and spatial data quality is an important task and escalating interest amongst geospatial community. The visualization of perfect earth surface features by relative respons...
For realistic modelling of digital elevation model (DEM) uncertainty, information on the amount and spatial configuration is needed.However, common DEM products are often distributed with global error...
Data quality and uncertainty modeling for spatial data and spatial analyses is regarded as one of the disciplines of geographic information science together with space and time in geography, as well a...
It is shown that robust stability and robust performance questions for control systems with nonparametric uncertainties can be turned into those with a particularly simple parametric description. It i...
Within the framework of uncertainty-based geographic information science, this paper addresses modeling uncertainties in integrating multiple sources of data, modeling uncertainty in overlay analysis,...
Though the mediums for visualization are limited, the potential dimensions of a dataset are not. In many areas of scientific study, understanding the correlations between those dimensions and their un...
A multitude of physical and biological processes occur in the ocean over a wide range of temporal and spatial scales. Many of these processes are nonlinear and highly variable, and involve interaction...
Decision-makers in the context of climate politics are confronted with considerable uncertainties due to the complexities inherent in the relevant natural and social systems. Nonetheless, pressure on ...
Spatial data mining is to extract the unknown knowledge from a large-amount of existing spatial data repositories areas (Ester et al., 2000). The spatial data are to represent the spatial existence o...
An object-based approach is applied in land-cover feature extraction from high-resolution multi-spectral images and laser scanning data in this research. Objects extracted from high-resolution spect...

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