Computed Tomographic Imaging Spectrometers (CTIS) capture hyperspectral images in realtime. However, post processing the imagery can require enormous computational resources; thus, limiting its application to nonrealtime scenarios. To overcome these challenges we developed a highly parallelizable algorithm that exploits spatial shift-invariance. To demonstrate the versatility of our new algorithm, we developed implementations on a desktop and an embedded graphics processing unit (GPU). To our knowledge, our results show the fastest image reconstruction times reported.
This paper presents an investigation of area-based image correlation under full perspective geometric distortion. Image matching techniques in the presence of geometric distortion modeled by affme transformations have been examined thoroughly in earlier work while this research will investigate the effects of fill-perspective distortion on spatial domain area-based matching techniques. With area-based techniques, there are two factors that heavily affect correlation accuracy; first, the amount of signal variation within the target window must be sufficient to provide detectable similarity of imagery and second, the amount of geometric distortion within the window must be small enough not to inhibit matching. Signal variation is increased by increasing the target window size while the effects of perspective geometric distortion are minimized through smaller target windows. Window dimensionality is appropriately adapted to accommodate these two conflicting effects. Window adaptation based on precomputed metrics is applied to extend distortion toleration. The image sets are derived from a tactical scenario and are geometrically transformed through planar assumptions by a nonaffme spatial mapping. The two images are then registered through different correlation techniques, the defming functions analyzed and limitations on the amount of perspective viewpoint change of an imaging system in an aerial tactical arena are given while still allowing proper image correspondence.techniques in different ways, therefore, depending on the application and the error in the imaging system, a different matching technique may be employed.An original database image taken from one sensor viewpoint with dimensions, Ns,xNs2, can be interpreted as an image provided by an offboard source (e.g. satellite, aircraft) or as a reference image from a database. The target image taken from a second sensor viewpoint with dimensions, NT xN, can be interpreted as the tactical sensor image or the image formed by the onboard sensors of the platform (e.g. aircraft) performing the image correlation and registration. The database and 38/ SPIE Vol. 2753
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.