LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Measurement Error Model and Compensation Algorithm for Bionic Polarization Orientation

Photo by alterego_swiss from unsplash

Division of focal plane (DoFP) polarization image sensors can obtain a complete set of polarization information at every image. Because of their high acquisition efficiency, these sensors are increasingly used… Click to show full abstract

Division of focal plane (DoFP) polarization image sensors can obtain a complete set of polarization information at every image. Because of their high acquisition efficiency, these sensors are increasingly used in bionic polarization orientation. However, the resolution loss of image and instantaneous field-of-view (IFOV) errors of DoFP sensors will lead to measurement errors in polarization information, which will reduce the orientation accuracy of DoFP sensors. In this article, we reveal how these errors will affect the measurement accuracy of polarization information and orientation accuracy. The measurement error model of polarization information is then established, simulated, and analyzed. Finally, a compensation algorithm is proposed for the polarization orientation. The outdoor experimental results illustrate that the proposed method can effectively reduce the measurement errors of polarization information and improve orientation accuracy.

Keywords: polarization orientation; orientation; polarization information; bionic polarization; polarization

Journal Title: IEEE Transactions on Instrumentation and Measurement
Year Published: 2023

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.