OPT OpenIR  > 光谱成像技术研究室
Highlight removal method in polarimetric images based on Stokes parameters
Sun, Chen1,2; Yang, Fan-Chao1
Conference NameInternational Symposium on Optoelectronic Technology and Application 2018: Optical Sensing and Imaging Technologies and Applications 2018, OTA 2018
Source PublicationOptical Sensing and Imaging Technologies and Applications
Conference Date2018-05-22
Conference PlaceBeijing, China
Contribution Rank1

Aiming at the reflected highlight in remote sensing, we propose a new method of removing reflected highlight in polarimetric images. This method is based on reflection physical model, only requiring four polarization images and reflection angle; the original intensities of target which is under water or other crystals can be calculated by Stokes parameters accurately. Comparing to conventional polarization methods, experimental results show that proposed method can remove the glitters more effectively and reserve the original characteristic of target as much as possible. This new method does not need to restrict the specific observation angle and time so that it has more versatility. This new method improves reflected highlight image quality and it can be considered very suitable in water and polarization remote sensing. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

Indexed ByEI
EI Accession Number20185206302170
Citation statistics
Document Type会议论文
Affiliation1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China
Recommended Citation
GB/T 7714
Sun, Chen,Yang, Fan-Chao. Highlight removal method in polarimetric images based on Stokes parameters[C]:SPIE,2018.
Files in This Item:
File Name/Size DocType Version Access License
Highlight removal me(626KB)会议论文 限制开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Sun, Chen]'s Articles
[Yang, Fan-Chao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Sun, Chen]'s Articles
[Yang, Fan-Chao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Sun, Chen]'s Articles
[Yang, Fan-Chao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.