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 PaperResearchpeer-review

3 Citations (Scopus)

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
Title of host publicationProceedings of SPIE - Polarization
Subtitle of host publicationMeasurement, Analysis, and Remote Sensing XIII
EditorsDavid B. Chenault, Dennis H. Goldstein
Place of PublicationBellingham WA USA
PublisherSPIE
Number of pages8
ISBN (Electronic)9781510618220
ISBN (Print)9781510618213
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventConference on Polarization - Measurement, Analysis, and Remote Sensing XII - Baltimore, United States of America
Duration: 18 Apr 201619 Apr 2016
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9853.toc (Proceedings)

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE - International Society for Optical Engineering
Volume10655
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceConference on Polarization - Measurement, Analysis, and Remote Sensing XII
Country/TerritoryUnited States of America
CityBaltimore
Period18/04/1619/04/16
Internet address

Keywords

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

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