The Experts below are selected from a list of 70938 Experts worldwide ranked by ideXlab platform
W. Crow - One of the best experts on this subject based on the ideXlab platform.
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Evaluating the Added Value of Spaceborne Soil Moisture Products for Land Surface Modeling Applications
2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006Co-Authors: W. CrowAbstract:A novel methodology is introduced for quantifying the added value of remotely-sensed soil moisture products for global land Surface Modeling applications. The approach is based on the assimilation of soil moisture retrievals into a simple Surface water balance model driven by satellite-based precipitation products. Filter increments (i.e. discrete additions or subtractions of water suggested by the filter) are then compared to antecedent precipitation errors determined using higher quality rain gauge observations. Given the inherent difficulty of directly validating remotely-sensed soil moisture products using ground-based soil moisture observations, this assimilation-based proxy provides a valuable tool for efforts to improve soil moisture retrieval strategies and quantify the novel information content of remotely sensed soil moisture retrievals for land Surface Modeling applications. Using real spaceborne data, the approach is demonstrated for four different remotely-sensed soil moisture datasets along two separate transects in the southern United States.
Weixiang Xu - One of the best experts on this subject based on the ideXlab platform.
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Study on the Application of Surface Modeling Algorithm
2010 International Conference on Measuring Technology and Mechatronics Automation, 2010Co-Authors: Weixiang Xu, Jing Xu, Yong GuanAbstract:Surface Modeling algorithms were designed using models including TC-Be¿zier, B spline curve with shape parameter, trigonometric B spline curve with shape parameter and hyperbolic polynomial B spline curve. The SMS (Surface Modeling System) was developed, OpenGL as the graph library, in Microsoft Visual C++ 6.0 programming environment. Founded the uniform platform of Surface Modeling, and realized and verified the proposed algorithms. The experiment result showed that the algorithms were feasible and the SMS was practicable.
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The Effect of Shape Parameters on Hyperbolic Polynomial Uniform B-Spline Curve Model
2009 International Conference on Information Engineering and Computer Science, 2009Co-Authors: Yong Guan, Weixiang Xu, Yuanyuan ShangAbstract:In this paper, we have studied in depth hyperbolic polynomial uniform B-spline model with shape parameters. Based on this model, we have given an example of freedom curve Modeling, and analyzed the effect that different shape parameters have on the change of the shape of the curves. We also developed a space freedom Surface Modeling system (SFSMS) on the Microsoft computer. Through the system, we processed with the freedom Surface Modeling, gave examples for its application, and discussed how the adjustment of the shape parameter affects the change of the shape of freedom Surface.
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Simplify the method of decision tree: an example for Surface Modeling
2005 International Conference on Machine Learning and Cybernetics, 2005Co-Authors: Hou-kuan Huang, Weixiang XuAbstract:Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each class that can be used to classify subsequent records. A number of popular classifiers construct decision trees to generate class models. In this paper, the idea of algorithm for building a decision tree is introduced by comparing the algorithm of information gain or entropy. According to the theory of rough sets, the method of constructing decision tree is discussed. The produced process of decision tree is given as an example of Surface Modeling. Compared with ID3 algorithm, the complexity of decision tree is decreased, the construction of decision tree is optimized the better rule of data mining could be built.
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An intelligent system of on space Surface Modeling
2004 IEEE International Conference on Systems Man and Cybernetics (IEEE Cat. No.04CH37583), 2004Co-Authors: Hou-kuan Huang, Weixiang XuAbstract:We present the bibeta spline curved Surface which is controlled by double parameters including the algorithm principles, the transform of projection, the treatment of elimination hidden line, the automatic adjustment on the screen, the principle of display and its realization. The freedom Surface Modeling system (FSMS) in language C is developed, and some examples are given.
L. Basanez - One of the best experts on this subject based on the ideXlab platform.
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Efficient free-form Surface Modeling with uncertainty
Proceedings of IEEE International Conference on Robotics and Automation, 1996Co-Authors: M.a. Garcia, L. BasanezAbstract:This paper describes the use of a previously developed Surface model for representing 3D geometric information that is subject to uncertainty. The proposed model is based on a geometric data fusion technique that allows the efficient approximation of arbitrary triangular meshes in space with smooth Surfaces. This paper shows how the shape modifiers defined in the model can be used to represent both global and local uncertainty associated with the input data. The possibility of handling scattered 3D points, taking into account their corresponding uncertainties, makes this technique a suitable tool for Modeling free-form Surfaces acquired through sensing, as well as for integrating 3D data obtained from multiple sensors with different associated confidences.
Haiqin Li - One of the best experts on this subject based on the ideXlab platform.
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a china data set of soil properties for land Surface Modeling
Journal of Advances in Modeling Earth Systems, 2013Co-Authors: Wei Shangguan, Qingyun Duan, Lizong Wu, Duoying Ji, Aizhong Ye, Hua Yuan, Qian Zhang, Dongdong Chen, Ming Chen, Haiqin LiAbstract:A comprehensive 30x30 arc-second resolution gridded soil characteristics data set of China has been developed for use in the land Surface Modeling. It includes physical and chemical attributes of soils derived from 8979 soil profiles and the Soil Map of China (1:1,000,000). We used the polygon linkage method to derive the spatial distribution of soil properties. The profile attribute database and soil map are linked under the framework of the Genetic Soil Classification of China which avoids uncertainty in taxon referencing. Quality control information (i.e., sample size, soil classification level, linkage level, search radius and texture) is included to provide confidence information for the derived soil parameters. The data set includes 28 attributes for 8 vertical layers at the spatial resolution of 30x30 arc-seconds. Based on this data set, the estimated storage of soil organic carbon in the upper 1 m of soil is 72.5 Pg, total N is 6.6 Pg, total P is 4.5 Pg, total K is 169.9 Pg, alkali-hydrolysable N is 0.55 Pg, available P is 0.03 Pg, and available K is 0.61 Pg. These estimates are reasonable compared with previous studies. The distributions of soil properties are consistent with common knowledge of Chinese soil scientists and the spatial variations over large areas are well represented. The data set can be incorporated into land models to better represent the role of soils in hydrological and biogeochemical cycles in China.
Jian J. Zhang - One of the best experts on this subject based on the ideXlab platform.
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Surface Modeling Using Partial Differential Equations: A Survey
2013 17th International Conference on Information Visualisation, 2013Co-Authors: Jian J. ZhangAbstract:Partial differential equation-based Surface modelling is a new approach of creating and manipulating three-dimensional geometric models. It uses the solution to a vector-valued partial differential equation subjected to suitably defined boundary constraints to carry out Surface Modeling. This paper provides a survey on this approach which summarizes various mathematical models of partial differential equation-based Surface modelling, accurate and approximate analytical solutions as well as numerical solutions of the mathematical models, and the applications of partial differential equation-based Surface modelling. It also discusses some future research directions of partial differential equation-based Surface modelling.
