@inproceedings{876d4c0a04e3450ab0cd606b7bccdf46,
title = "Overview of visualization strategies for polarimetric imaging data",
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.",
keywords = "Data analysis, Data visualization, Polarimetric imaging, Polarization, Visualization design, Visualization tasks",
author = "Kruse, {Andrew W.} and Alenin, {Andrey S.} and Vaughn, {Israel J.} and Tyo, {J. Scott}",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Polarization: Measurement, Analysis, and Remote Sensing XIII 2018 ; Conference date: 16-04-2018 Through 17-04-2018",
year = "2018",
doi = "10.1117/12.2304678",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Goldstein, {Dennis H.} and Chenault, {David B.}",
booktitle = "Polarization",
address = "United States",
}