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

16 May 2018 Overview of visualization strategies for polarimetric imaging data

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

Proceedings Volume 10655, Polarization: Measurement, Analysis, and Remote Sensing XIII; 106550S (2018) https://doi.org/10.1117/12.2304678
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

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.

Conference Presentation

Citation Download Citation

Andrew W. Kruse, Andrey S. Alenin, Israel J. Vaughn, and J. Scott Tyo "Overview of visualization strategies for polarimetric imaging data", Proc. SPIE 10655, Polarization: Measurement, Analysis, and Remote Sensing XIII, 106550S (16 May 2018); https://doi.org/10.1117/12.2304678

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