A Fuzzy Logic Approach to Polarimetric Image Fusion

Author

• Michael Taylor, University of Dayton

Date of Award

5-9-2026

Degree Name

M.S. in Electrical Engineering

Department

Department of Electrical and Computer Engineering

Advisor/Chair

Brad Ratliff

Abstract

Optical polarization is a complex process controlled by solar, sensor, and facet geometry, target material, and more. Due to these complexities, traditional polarization display strategies are difficult to interpret by those unfamiliar with the phenomenology. To support the effort of creating a polarimetric fusion strategy that is robust to variation in illumination geometry, a fully parameterized polarimetric dataset was created using the Automated Sensing Solar Simulator (ARSSS) lab at the University of Dayton. In this work a new fusion strategy is proposed which utilizes fuzzy logic along with new polarization products to create a more easily understandable fusion image that contains additional polarimetric information present in the Stokes vector and maintains consistency in intensity compared to s0.

Keywords

Electrical Engineering, Remote Sensing

Comments

OCLC No. 1591830093

Rights Statement

Copyright 2026, author.

Recommended Citation

Taylor, Michael, "A Fuzzy Logic Approach to Polarimetric Image Fusion" (2026). Graduate Theses and Dissertations. 7670.
https://ecommons.udayton.edu/graduate_theses/7670