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Author > Hines, Glenn 
Author > Jobson, Daniel 
Author > Rahman, Zia-Ur 
Author > Woodell, Glenn 

NASA Center > Langley Research Center 

Publication Year > 2001-2010 > 2002 

Subject > G-I > Instrumentation And Photography 

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Title: Multi-Image Registration for an Enhanced Vision System
Author(s): Hines, Glenn; Rahman, Zia-Ur; Jobson, Daniel; Woodell, Glenn
Abstract: An Enhanced Vision System (EVS) utilizing multi-sensor image fusion is currently under development at the NASA Langley Research Center. The EVS will provide enhanced images of the flight environment to assist pilots in poor visibility conditions. Multi-spectral images obtained from a short wave infrared (SWIR), a long wave infrared (LWIR), and a color visible band CCD camera, are enhanced and fused using the Retinex algorithm. The images from the different sensors do not have a uniform data structure: the three sensors not only operate at different wavelengths, but they also have different spatial resolutions, optical fields of view (FOV), and bore-sighting inaccuracies. Thus, in order to perform image fusion, the images must first be co-registered. Image registration is the task of aligning images taken at different times, from different sensors, or from different viewpoints, so that all corresponding points in the images match. In this paper, we present two methods for registering multiple multi-spectral images. The first method performs registration using sensor specifications to match the FOVs and resolutions directly through image resampling. In the second method, registration is obtained through geometric correction based on a spatial transformation defined by user selected control points and regression analysis.
NASA Center: Langley Research Center
Publication Date: [2002]
Document Source: CASI
No Digital Version Available: Go to Tips On Ordering
Document ID: 20040085737
Publication Information: Number of Pages = 11
Price Code: A03
Keywords: ENHANCED VISION; PATTERN REGISTRATION; VISIBILITY; MULTISENSOR APPLICATIONS; IMAGING TECHNIQUES; SHORT WAVE RADIATION; CCD CAMERAS; SENSORS; FIELD OF VIEW; ALGORITHMS; INFRARED RADIATION; LONG WAVE RADIATION; REGRESSION ANALYSIS;
Accessibility: Unclassified; Copyright; Unlimited; Publicly available;
Updated/Added to NTRS: 2004-10-28

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