You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
16 April 2008Detection of small objects in multi-layered infrared images
This paper uses super-resolution methods to detect small objects in infrared image sequences from a simulated airborne
platform, using image registration techniques for automatic sightline stabilisation. The scene consists of multiple layers,
corresponding to a static background scene and layers of cloud cover at varying heights. The motivation is to evaluate
the performance of super-resolution methods in the presence of three-dimensional structured infrared clutter.
The alert did not successfully save. Please try again later.
Jing Wang, Shangqi Bao, Jason F. Ralph, John Y. Goulermas, "Detection of small objects in multi-layered infrared images," Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 696905 (16 April 2008); https://doi.org/10.1117/12.777494