Share Email Print
cover

Proceedings Paper

Principle component analysis based hyperspectral image fusion in imaging spectropolarimeter
Author(s): Wenyi Ren; Dan Wu; Jiangang Jiang; Guoan Yang; Chunmin Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Image fusion is of great importance in object detection. A PCA based image fusion method was proposed. A pixel-level average method and a wavelet-based methods have been implemented for a comparison study. Different performance metrics without reference image are implemented to evaluate the performance of image fusion algorithms. It has been concluded that image fusion using PCA based method showed better performance.

Paper Details

Date Published: 28 February 2017
PDF: 5 pages
Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 102561E (28 February 2017);
Show Author Affiliations
Wenyi Ren, Northwest A&F Univ. (China)
Yangtze Normal Univ. (China)
Dan Wu, Northwest A&F Univ. (China)
Jiangang Jiang, Northwest A&F Univ. (China)
Guoan Yang, Xi'an Jiaotong Univ. (China)
Chunmin Zhang, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 10256:
Second International Conference on Photonics and Optical Engineering
Chunmin Zhang; Anand Asundi, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray