Abstract: A system for surveying a subsurface formation includes one or more electromagnetic sensors located at or above the surface of the Earth. The sensors are configured to detect passive-source source signals and return signals that are based on seismoelectric or electroseismic conversion of the source signal in the subsurface formation. The system includes a processor communicatively coupled to the one more electromagnetic sensors. The at least one processor is configured to align and stack the passive-source source signals and the return signals and determine a property of the subsurface formation based, at least in part, on the aligned and stacked passive-source source signals and the return signals.

Abstract: This application discloses a method for distinguishing targets from clutter, comprising the steps inputting data, calculating data statistics from said data and using said data statistics to select target specific feature information to distinguish specific targets from background clutter, generating said target specific feature information from said data statistics, extracting said target specific feature information from said data, using said target specific feature information to distinguish specific targets from background clutter, and outputting target and background clutter information. Classification systems, including hardware and software embodiments, are also disclosed.

Abstract: A method of and system for parallelizing an program, comprising the steps of inputting an algorithm, operating said algorithm on selected data inputs to generate representative outputs, inputting representative outputs into parallelizing algorithms, and outputting a parallel implementation of said algorithm. In particular, this provides a parallel framework for target classification and pattern recognition procedures.