Effective method to evaluate the complex degree of the sea-sky infrared backgrounds

Chenqiang Gao; Jinwen Tian; Zhicheng Wang; Yongtao Wang; Peng Wang

doi:10.1117/12.748858

15 November 2007 Effective method to evaluate the complex degree of the sea-sky infrared backgrounds

Chenqiang Gao, Jinwen Tian, Zhicheng Wang, Yongtao Wang, Peng Wang

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67870X (2007) https://doi.org/10.1117/12.748858
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

When designing the system of the infrared (IR) small target detection, both which detection algorithm to be chosen and how to set some parameters of the detection algorithm need to evaluate the complexity of the infrared backgrounds. In this paper, an effective method to evaluate the complexity of the sea-sky infrared backgrounds based on texture analysis is proposed. According to the characteristics of Infrared backgrounds, three statistical descriptors based on gray level co-occurrence matrix are calculated, and one statistical descriptors based on edge information is calculated. All statistical descriptors are fused to evaluate the complexity of IR backgrounds finally. Real and synthetic IR images under sea-sky background are applied to validate the proposed approach. Compared to existing methods, Experimental results demonstrate the robustness of the proposed method with high performance.

Citation Download Citation

Chenqiang Gao, Jinwen Tian, Zhicheng Wang, Yongtao Wang, and Peng Wang "Effective method to evaluate the complex degree of the sea-sky infrared backgrounds", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870X (15 November 2007); https://doi.org/10.1117/12.748858

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available