Infrared imaging characterization of ground scene

Zheng-hui Zhang; Shi-wen Xu

doi:10.1117/12.836185

4 August 2009 Infrared imaging characterization of ground scene

Zheng-hui Zhang, Shi-wen Xu

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 73830K (2009) https://doi.org/10.1117/12.836185
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

As prerequisite and foundation, the study of infrared imaging characterization for different ground scene in different time under different meteorological condition is the key of infrared image registration and ATR. In order to find out the proper time and optimum scene which is suitable for image registration, a great deal of aerial image sequences is analyzed in different season and different time at same region. Furthermore, a new metrics is put forward to measure the variation of IR scene with some statistical parameters, such as mean, standard deviation, POE. The metrics is designed to describe different scene properties quantitatively so as to evaluate the stability of scene MWIR imaging .According to the result of MWIR and visible image registration with NPROD, the proposed method can be used to correctly select reference area and increase the probability of map matching.

Citation Download Citation

Zheng-hui Zhang and Shi-wen Xu "Infrared imaging characterization of ground scene", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73830K (4 August 2009); https://doi.org/10.1117/12.836185

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