Overview of visualization strategies for polarimetric imaging data

Andrew W. Kruse, Andrey S. Alenin, Israel J. Vaughn, J Scott Tyo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Visualizing polarimetric imaging data is a difficult task due to its multidimensional nature, and there have been many different approaches to develop techniques for displaying this information. Currently, there is no method for producing effective visualizations, or evaluating their performance in accomplishing their intended goals. A task-based design process can be used to make sure that the unavoidable biases that occur in these visual representations match the biases required for effectively interpreting the information, relationships, and features within the data. As the field of polarimetric imaging grows and extends into other fields, some standardization of effective visualization techniques may be beneficial in communication and continued growth.

Original languageEnglish (US)
Title of host publicationPolarization
Subtitle of host publicationMeasurement, Analysis, and Remote Sensing XIII
PublisherSPIE
Volume10655
ISBN (Electronic)9781510618213
DOIs
StatePublished - Jan 1 2018
Externally publishedYes
EventPolarization: Measurement, Analysis, and Remote Sensing XIII 2018 - Orlando, United States
Duration: Apr 16 2018Apr 17 2018

Other

OtherPolarization: Measurement, Analysis, and Remote Sensing XIII 2018
CountryUnited States
CityOrlando
Period4/16/184/17/18

Keywords

  • Data analysis
  • Data visualization
  • Polarimetric imaging
  • Polarization
  • Visualization design
  • Visualization tasks

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Kruse, A. W., Alenin, A. S., Vaughn, I. J., & Tyo, J. S. (2018). Overview of visualization strategies for polarimetric imaging data. In Polarization: Measurement, Analysis, and Remote Sensing XIII (Vol. 10655). [106550S] SPIE. https://doi.org/10.1117/12.2304678