Lisa Thompson, AFRL, Daniel Thompson, Boeing, Brandoch Calef, Boeing, Michael Werth, Boeing
Keywords: Imaging, LWIR, AMOS, supercomputing, MFBD, data-driven
Abstract:
The 3.6m telescope at the Air Force Maui Optical and Supercomputing (AMOS) site is able to send light to a Long Wave Infrared (LWIR) sensor and a visible imaging sensor for simultaneous recording in different wavebands. LWIR images suffer less from atmospheric blurring than visible images, therefore it should be possible to use LWIR information to provide a priori information to a Multi-Frame Blind Deconvolution (MFBD) algorithm that reconstructs visible images. This would result in better image reconstructions that are produced in less time. We describe techniques for fusing LWIR and visible data for MFBD processing, and we apply these techniques to a number of Low Earth Orbit satellite collections. Measured improvements in processing time and reconstructed image resolution are presented.
Date of Conference: September 15-18, 2015
Track: Adaptive Optics & Imaging