Hank Theiss

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Research Associate Professor

University of Arkansas

1 h-index 3 pubs 1 cited

Research Areas

Links

ORCID Research Group

OverviewAI-generated summary

Hank Theiss's research focuses on the mathematical modeling and analysis of imaging systems, particularly in the context of remote sensing and photogrammetry. He has investigated methods for improving the accuracy of airborne and commercial satellite imagery through rigorous mathematical techniques. His work includes developing and applying error propagation models for lidar and full-motion video data, as well as exploring spatial analysis methodologies for image registration and data fusion applications.

His publications address the precise rectification of airborne pushbroom imaging systems using techniques like Gauss-Markov methods and linear feature triangulation. Theiss has also examined the temporal correlation of metadata errors in commercial satellite images and their impact on stereo extraction accuracy. He has contributed to the understanding and validation of accuracy capabilities for commercial satellite imagery and has worked on integrating lidar data within established sensor model constructs. His scholarship metrics include an h-index of 4 across 19 publications with 101 citations.

Metrics

h-index: 1
Publications: 3
Citations: 1

Positions

Research Associate Professor 2020–present

University of Arkansas Center for Advanced Spatial Technologies (CAST) ORCID
Chief Scientist in Photogrammetry 2001–2020

Centauri, formerly Integrity Applications Incorporated (IAI) Science ORCID
Visiting Assistant Professor 2000–2001

Purdue University Civil Engineering ORCID
Graduate Research Assistant 1996–2000

Purdue University Civil Engineering ORCID

Selected Publications

Using Declassified Imagery: Issues and Approaches (2026)

SSRN Electronic Journal DOI OpenAlex
Data from: Detecting altimetric changes in Arctic landscapes using historical aerial imagery-derived digital elevation models (hDEMs): Case study of the Black Mountain Alluvial Fan Complex, Canada (2025)

DRYAD DOI OpenAlex
Absolute Accuracy Assessment of Maxar's Worldwide 3D Textured Mesh (2022)

Zenodo (CERN European Organization for Nuclear Research) DOI OpenAlex
Error Propagation in Satellite Multi-Image Geometry (2021)

IEEE Transactions on Geoscience and Remote Sensing 2 citations DOI OpenAlex