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Proceedings Paper

High-resolution reconstruction of objects from cloud-covered infrared images
Author(s): Jing Wang; Jason F. Ralph; John Y. Goulermas
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Paper Abstract

FLIR images are essential for the detection and recognition of ground targets. Small targets can be enhanced using super-resolution techniques to improve the effective resolution of the target area using a sequence of low-resolution images. However, when there is significant cloud cover, several problems can arise: clouds can obscure a target (partially or fully), they can affect the accuracy of image registration algorithms, and they can reduce the contrast of the object against the background. To reconstruct an image in the presence of cloud cover, image correlation metrics from optical flow and a robust super-resolution algorithm have been used to compile a 'best' frame.

Paper Details

Date Published: 11 May 2009
PDF: 10 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 733617 (11 May 2009); doi: 10.1117/12.818511
Show Author Affiliations
Jing Wang, The Univ. of Liverpool (United Kingdom)
Jason F. Ralph, The Univ. of Liverpool (United Kingdom)
John Y. Goulermas, The Univ. of Liverpool (United Kingdom)


Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)

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