Overview of visualization strategies for polarimetric imaging data

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

doi:10.1117/12.2304678

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 proceeding › Conference Paper › Research › peer-review

2 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 language	English
Title of host publication	Proceedings of SPIE - Polarization
Subtitle of host publication	Measurement, Analysis, and Remote Sensing XIII
Editors	David B. Chenault, Dennis H. Goldstein
Place of Publication	Bellingham WA USA
Publisher	SPIE - International Society for Optical Engineering
Number of pages	8
ISBN (Electronic)	9781510618220
ISBN (Print)	9781510618213
DOIs	https://doi.org/10.1117/12.2304678
Publication status	Published - 2018
Externally published	Yes
Event	Conference on Polarization - Measurement, Analysis, and Remote Sensing XII - Baltimore, United States of America Duration: 18 Apr 2016 → 19 Apr 2016 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9853.toc (Proceedings)

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	SPIE - International Society for Optical Engineering
Volume	10655
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Conference on Polarization - Measurement, Analysis, and Remote Sensing XII
Country/Territory	United States of America
City	Baltimore
Period	18/04/16 → 19/04/16
Internet address	https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9853.toc (Proceedings)

Keywords

Data analysis
Data visualization
Polarimetric imaging
Polarization
Visualization design
Visualization tasks

Access to Document

10.1117/12.2304678

Cite this

Kruse, A. W., Alenin, A. S., Vaughn, I. J., & Tyo, J. S. (2018). Overview of visualization strategies for polarimetric imaging data. In D. B. Chenault, & D. H. Goldstein (Eds.), Proceedings of SPIE - Polarization: Measurement, Analysis, and Remote Sensing XIII [106550S] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10655). SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2304678

Kruse, Andrew W. ; Alenin, Andrey S. ; Vaughn, Israel J. et al. / Overview of visualization strategies for polarimetric imaging data. Proceedings of SPIE - Polarization: Measurement, Analysis, and Remote Sensing XIII. editor / David B. Chenault ; Dennis H. Goldstein. Bellingham WA USA : SPIE - International Society for Optical Engineering, 2018. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{3c7ff603bd3e49bc8cfc845f1828a5ce,

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.; Conference on Polarization - Measurement, Analysis, and Remote Sensing XII ; Conference date: 18-04-2016 Through 19-04-2016",

year = "2018",

doi = "10.1117/12.2304678",

language = "English",

isbn = "9781510618213",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE - International Society for Optical Engineering",

editor = "Chenault, {David B.} and Goldstein, {Dennis H.}",

booktitle = "Proceedings of SPIE - Polarization",

url = "https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9853.toc",

}

Kruse, AW, Alenin, AS, Vaughn, IJ & Tyo, JS 2018, Overview of visualization strategies for polarimetric imaging data. in DB Chenault & DH Goldstein (eds), Proceedings of SPIE - Polarization: Measurement, Analysis, and Remote Sensing XIII., 106550S, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10655, SPIE - International Society for Optical Engineering, Bellingham WA USA, Conference on Polarization - Measurement, Analysis, and Remote Sensing XII, Baltimore, Maryland, United States of America, 18/04/16. https://doi.org/10.1117/12.2304678

Overview of visualization strategies for polarimetric imaging data. / Kruse, Andrew W.; Alenin, Andrey S.; Vaughn, Israel J. et al.

Proceedings of SPIE - Polarization: Measurement, Analysis, and Remote Sensing XIII. ed. / David B. Chenault; Dennis H. Goldstein. Bellingham WA USA : SPIE - International Society for Optical Engineering, 2018. 106550S (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10655).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Overview of visualization strategies for polarimetric imaging data

AU - Kruse, Andrew W.

AU - Alenin, Andrey S.

AU - Vaughn, Israel J.

AU - Tyo, J. Scott

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Data analysis

KW - Data visualization

KW - Polarimetric imaging

KW - Polarization

KW - Visualization design

KW - Visualization tasks

UR - http://www.scopus.com/inward/record.url?scp=85049241678&partnerID=8YFLogxK

U2 - 10.1117/12.2304678

DO - 10.1117/12.2304678

M3 - Conference Paper

AN - SCOPUS:85049241678

SN - 9781510618213

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Proceedings of SPIE - Polarization

A2 - Chenault, David B.

A2 - Goldstein, Dennis H.

PB - SPIE - International Society for Optical Engineering

CY - Bellingham WA USA

T2 - Conference on Polarization - Measurement, Analysis, and Remote Sensing XII

Y2 - 18 April 2016 through 19 April 2016

ER -

Kruse AW, Alenin AS, Vaughn IJ, Tyo JS. Overview of visualization strategies for polarimetric imaging data. In Chenault DB, Goldstein DH, editors, Proceedings of SPIE - Polarization: Measurement, Analysis, and Remote Sensing XIII. Bellingham WA USA: SPIE - International Society for Optical Engineering. 2018. 106550S. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2304678

Overview of visualization strategies for polarimetric imaging data

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this