PROTEOGLYCAN SPLICING IN AD--THERAPEUTICS & DIAGNOSTICS

Not Available Advances in sensor technology have significantly expanded the potential role of multi- and hyperspectral imaging in a wide range of military scenarios. However, for these advances to be of use of human interpreters, image display technologies must be developed requiring new image processing techniques. These must address the availability of increasing volumes of hyperspectral images, as well as the novel nature of the ultra-spectral data characteristics. We propose to develop a new class of image transforms, PONS-PCA transforms, for dealing with multi- and hyperspectral imagery. Our design strategy combines the novel uniresolution feature of PONS, the Prometheus Orthonormal Set, with PCA, principal component analysis. PONS is used to represent spatial information in a highly compressed version while retaining information over the entire image. PCA captures the dominant chromatic features of the image. The characterstics of PONS-PCA transforms are essential for meeting the challenges of dynamic range compression and spatial registration of multi-spectral static and moving image streams.