Share Email Print
cover

Proceedings Paper

Characteristics analysis of infrared polarization for several typical artificial objects
Author(s): Yan Zhang; Jian-tao Han; Jicheng Li; Wei-ping Yang; Ting Gong
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

It is a difficult point to detect and recognize artificial targets under the disturbance of the complex ground clutter when remote sensing and detection to the earth. Using the different polarization information between artificial object and natural scenery, the ability to distinguish artificial targets from natural scenery can be promoted effectively. On account that the differences of polarization characteristics is an important factor in designing the target recognition method, this paper focuses attention on the application of remote sensing and reconnaissance and makes detailed research on the long wave infrared polarization characteristics of several typical metallic targets, such as aluminum plate and iron plate and the aluminum plate that be coated with black paint or yellow green camouflage. Then, the changing rules of the degree and angle of the long wave infrared polarization changing with the measurement temperature are analyzed and researched. Work of this paper lays the theoretical foundation for the design of remote sensing and detection system based on the infrared polarization information in the future.

Paper Details

Date Published: 23 October 2014
PDF: 11 pages
Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92440I (23 October 2014); doi: 10.1117/12.2066834
Show Author Affiliations
Yan Zhang, National Univ. of Defense Technology (China)
Jian-tao Han, National Univ. of Defense Technology (China)
Jicheng Li, National Univ. of Defense Technology (China)
Wei-ping Yang, National Univ. of Defense Technology (China)
Ting Gong, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9244:
Image and Signal Processing for Remote Sensing XX
Lorenzo Bruzzone, Editor(s)

© SPIE. Terms of Use
Back to Top