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Home > Streamlined Archaeo-Geophysical Data Processing and Integration for DoD Field Use > Technical Description > Data Processing Details Technical Objectives | Data Processing Details | Processing Steps The chart below illustrates the labor intensive character of data fusion using multiple COTS softwares. It documents the person hours per surveyed hectare required to process typical GPR data to a level matching other geophysical data layers for optimized information extraction. It should be emphasized that this estimate assumes that an experienced analyst is processing the data. Note that the time needed to process one hectare of GPR data greatly exceeds that needed for other geophysical data types, and this underscores the need for bringing GPR processing up to par with other geophysical processing routines. Many of the GPR routines are simple, yet are not streamlined in COTS software. GPR data processing is necessarily more time consuming owing to its three-dimensional nature and high data volume, but it can be greatly improved by the this effort.
The total for Tasks I-VI of 65-197 hours is for the processing of each GPR slice data set. Tasks IV-VI must also be applied to each of the five to ten GPR slices and to the other five data modalities. The combined totals for the five geophysical sensors would be the sum of the GPR processing (I-III), plus five to ten times steps IV-VI (depending on how many GPR slice maps to be processed). For example, the time needed to process one hectare each of magnetometry, electrical resistance, induced electrical conductivity, magnetic susceptibility, and six GPR slice maps would include 53 - 140 person hours for steps I-III plus 220 – 630 person hours for steps IV-VI, for a total of 273 – 770 person hours. Note: These estimates also do not include the time spent importing and exporting from one software package to another, and the learning process involved for each.
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Center for Advanced Spatial Technologies
University of Arkansas
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Phone: (479)575-6159 | Fax: (479)575-5218 | Email: info@cast.uark.edu