Share Email Print
cover

Proceedings Paper

Multi-angle SAR non-coherent image fusion algorithm based on HIS statistic characteristics
Author(s): Da Ran; Can-bin Yin; Wei-qiang Zhu; Guo-chao Lao
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

In order to reduce the shadow in traditional linear SAR image, a multi-angle SAR non-coherent image fusion algorithm based on HIS statistic characteristics is proposed. By converting SAR image to HIS space, a threshold based on the statistic characteristics of SAR image’s HIS parameter is calculated and SAR images of different observation angles, which have been filtered according to the threshold previously calculated, are fused by non-coherent accumulation method. The fused image not only effectively reduces the image shadow, but also improves the detection probability of targets. The simulation results verify the effectiveness of the proposed algorithm.

Paper Details

Date Published: 29 August 2016
PDF: 6 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331X (29 August 2016); doi: 10.1117/12.2244871
Show Author Affiliations
Da Ran, Equipment Academy (China)
Can-bin Yin, Equipment Academy (China)
Wei-qiang Zhu, No. 8511 Reasearch Institute of CASIC (China)
Guo-chao Lao, Equipment Academy (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

© SPIE. Terms of Use
Back to Top