Polarimetric Image Discrimination With Depolarization Mueller Matrix
Polarimetric imaging techniques exploit the polarization characteristics of objects and, thus, can achieve a better discriminative performance. In this paper, an adaptive discrimination method based on the classification of depolarization Mueller matrix is proposed. According to the Mueller-Jones th...
Main Authors: | Pengcheng Wang, Qian Chen, Guohua Gu, Weixian Qian, Kan Ren |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2016-01-01
|
Series: | IEEE Photonics Journal |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7752873/ |
Similar Items
-
Underwater Imaging by Suppressing the Backscattered Light Based on Mueller Matrix
by: Hongyuan Wang, et al.
Published: (2021-01-01) -
Bandwidth and Noise in Spatio-temporally Modulated Mueller Matrix Polarimeters
by: Vaughn, Israel Jacob
Published: (2016) -
Error Analysis and Calibration Improvement of the Imaging Section in a Mueller Matrix Microscope
by: Jiewei Yu, et al.
Published: (2020-06-01) -
Mueller Matrix Roots
by: Noble, Hannah
Published: (2011) -
Joint Noise Reduction for Contrast Enhancement in Stokes Polarimetric Imaging
by: Hui Wang, et al.
Published: (2019-01-01)