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 contributionpeer-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 publicationPolarization
Subtitle of host publicationMeasurement, Analysis, and Remote Sensing XIII
EditorsDennis H. Goldstein, David B. Chenault
PublisherSPIE
ISBN (Electronic)9781510618213
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventPolarization: Measurement, Analysis, and Remote Sensing XIII 2018 - Orlando, United States
Duration: 16 Apr 201817 Apr 2018

Publication series

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

Conference

ConferencePolarization: Measurement, Analysis, and Remote Sensing XIII 2018
Country/TerritoryUnited States
CityOrlando
Period16/04/1817/04/18

Fingerprint

Dive into the research topics of 'Overview of visualization strategies for polarimetric imaging data'. Together they form a unique fingerprint.

Cite this