IEEE Transactions on Instrumentation and Measurement · 2024 · 15 citations · 33 references
The imaging polarization sensor (IPS) can provide high-accuracy, robust, and fully autonomous navigation information for underwater unmanned platforms. However, the polarization images in complex underwater scenarios are affected by dynamic-wave interference, severely impacting the accuracy of underwater polarization orientation. Therefore, a suppression method of dynamic-wave interference based on angular increment assistance is proposed. First, the transmission model of polarized light under dynamic-wave interference is constructed, and the error mechanism of the angle of polarization (AOP) is analyzed. Then, combining the inertial angular increment, a total differential increment model of AOP under the condition of carrier motion is established and used as the theoretical prior for the relative change in adjacent frames. On this basis, an AOP deviation estimation method based on complementary filtering is proposed, which exploits the complementary characteristics between the total differential increment of AOP and the actual detected values, achieving dynamic-wave suppression with single-frame input and thereby improving the accuracy of polarization orientation. In actual underwater experiments, the proposed method not only effectively improves the quality of AOP images but also significantly enhances the orientation accuracy. Compared to the existing optimal methods, the underwater static orientation error and the underwater dynamic orientation error are reduced by 26.3% and 33.4%, respectively.
33
Solar position algorithm for solar radiation applications
Ibrahim Reda, Afshin Andreas · Solar Energy · 2003 · 1.1K citations
Bioinspired polarization vision enables underwater geolocalization
Samuel B. Powell, Roman Garnett, N. Justin Marshall et al. · Science Advances · 2018 · 162 citations · Full text
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing
Minghan Fu, Huan Liu, Yankun Yu et al. · 2021 · 158 citations
Deblurring, Convolutional Neural Network, Machine Vision +13