Abstract: A data fusion workstation apparatus and method utilizes algorithms and can be used for applications such as, e.g., hydrogeological modeling, steady-state hydrological flow modeling, transport uncertainty determination, flow/transport fusion, oil reserve management, water supply development, geo-technical engineering projects, and management decision optimization. The invention uses a spatial continuity model which is extended to 3D and equations are provided for computation of the spatial AR coefficients from a desired covariance function. The data fusion workstation provides more robust optimization iterations by use of an algorithm that includes Trust Region or Step Halving methods to limit the Gauss Newton step in solving non-linear least squares problems. Measurement biases and error parameters, and parameters which define a hydrological flow model can be included in the common set of estimated states.

Abstract: A data fusion workstation provides an apparatus and method for realizing the full potential of geophysical and remote sensing by mathematically integrating sensors with each other. Sensor data from each of a plurality of sensor types are related mathematically to each other through a common site model to produce a fused picture with quantified accuracy. Using the concept of pseudo-data, information in sensor data is made equivalent to data in a statistical correlation model, allowing fusion of model information with sensor data during a data inversion step. The process of data fusion comprises several processing steps, which are executed by various microprocessors in a recursire/distributed/parallel-architecture platform. These steps comprise geophysical inversion, geostatistical Kriging, application of statistical information concepts, implementation of a square root information smoother, and application of likelihood techniques.