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Archeological Site Characterization

Architectural Visualization and Urban Analysis

Autonomous Information Extraction

Bathymetry and Sedimentation

Early Hominid Site Visualization

Forest Entomology

Geologic Mapping and Geological Hazard Assessment

Habitat Mapping and Modeling

Research Teaching

Soil and Crop Characterization

Urban Morpohology

Water Quality Assessment

Faculty: Schenk (OSU)

The intent of the collaborative research with Dr. Tony Schenk at Ohio State is to create reliable, nearly autonomous algorithms to extract information from the large, rich data sets created by sensor suites such as HARLS-CS. Quick, reliable extraction of information in turn makes these cumbersome data sets more available to researchers in different fields. Dr. Schenk and his associates have conducted extensive research in fusing traditional photographic images, multi-spectral images, and laser range data (see, for example, Csatho, et al, 1999) and the additional data provided by HARLS-CS will improve the quality and pace of the current research by allowing researchers to generate high resolution data and then quickly and effectively test assumptions and techniques. Indeed, because HARLS-CS allows the researcher direct control over data collections and the target itself, ground-truth data will be readily available.

 

 

 

 

 

 

 

 

 

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