Model Desert Terrain Monochromatic DoT Dataset

The goal of this dataset is to create high-fidelity polarimetric image data for complex scenes that is parameterized by solar, sensor, and scene geometry to support polarimetric phenomenology studies.

• A visible monochromatic division-of-time (DoT) polarimeter is used to obtain high-fidelity, full-resolution Stokes vector image data.
• A detailed terrain model is constructed using spectrally accurate materials to support the configuration of realistic simulated outdoor scenarios.
• Model vehicles and target panels are used to configure the model to create 8 different scenarios of interest.
• All experiments are designed and autonomously conducted in the Applied Sensing Lab's (ASL) Automated Remote Sensing Solar Simulation (ARSSS) laboratory at the University of Dayton.
• The dataset contains 4608 full resolution Stokes vector images (provided in raw DoT modulated intensity format) across 8 different scenarios, resulting in 128 unique scene views each under 36 different illumination geometries.
• Annotation data is provided for each of the 128 different scene views for objects, target panels, and vehicles.

Source code for using the dataset is available for download from the ASL's code series.

For any use of this dataset, please cite the following:

• DOI for this collection: https://doi.org/10.26890/vfeb3620
• B. M. Ratliff, "ASL2025: Parameterized Polarimetric Datasets for Remote Sensing Applications," SPIE Optics + Photonics, Polarization Science and Remote Sensing XII, 2025. (Accepted for presentation)

For additional information on the ASL's ARSSS lab at the University of Dayton, please refer to:

• Bradley M. Ratliff "Remote sensing solar simulation laboratory for polarimetric scene simulation", Proc. SPIE 12690, Polarization Science and Remote Sensing XI, 1269002 (3 October 2023); https://doi.org/10.1117/12.2676763.
• B. M. Ratliff, “Development of a laboratory-based scene generation capability to support polarimetric phenomenology studies,” SPIE Henri Poincare Webinar Series on Optical Polarization and Related Phenomena, January 2025. Presentation Link.