From Event: SPIE Commercial + Scientific Sensing and Imaging, 2018
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.
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 (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 17, 2018; Published: 16 May 2018); https://doi.org/10.1117/12.2304678.
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