Sentence examples for data fusion model from inspiring English sources
The damage detection accuracy was improved through a data fusion model that included the effect of group of sensors.
This paper proposes a data fusion model and the application procedure for quantitative and online visualization evaluation.
Afterwards, we introduce a new data fusion model based on n-cluster editing as a novel multi-source triangulation strategy, which was further combined with semantic literature mining.
The proposed functional holonic structure is suitable for processing any level of information abstraction of the Joint Directors of Laboratory JDLL) data fusion model.
The design leverages the Joint Directors of Laboratories (JDL) data fusion model to enable the integration of different critical infrastructure systems with their dependency relations.
The results carried out on the IFN/ENIT database show that the analytical approach performs better than the holistic one and that the data fusion model is more efficient than the state fusion model.
Moreover, these results serve to illustrate the advantages of the 2D data fusion models developed during this project.
Model comparison also shows that STAFFNs produce consistently lower biases than STARFMs and the flexible spatiotemporal data fusion models (FSDAFs).
Data Fusion Modeling (DFM) removes many of the limitations and is capable of providing data integration and model calibration with quantified uncertainty for a variety of hydrological, geological, and geophysical data types and models.
Like existing spatio-temporal data fusion models, the SADFAT method has a limitation in predicting LST changes that were not recorded in the MODIS and/or Landsat pixels due to the model assumption.
This approach is also promising for the downscaling of real MODIS or VIIRS LST data as it may be combined with already available reflective data fusion models that are able to blend Landsat data and sensor data with a coarse spatial resolution (given spectral bandwidths corresponding to Landsat) to generate temporally dense synthetic Landsat time series.
