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The Orthogonal Subspace Projection (OSP) algorithm is substantially a kind of matched filter that requires the evaluation of a prototype for each class to be detected. The kernel OSP (KOSP) has recently demonstrated improved results for target detection in hyperspectral images. The use of the kernel method makes the method non-linear, helps to combat the(More)
1. ABSTRACT The last generation of multispectral sensors (e.g., Quickbird, Ikonos, SPOT-5) can acquire a panchromatic image characterized by a very high geometrical resolution and a set of multispectral images that have lower spatial resolution. In order to merge the properties of these two kinds of data, i.e. to achieve a set of MS images with an enhanced(More)
Technological advances in imaging spectrometry have recently motivated the developments of remote sensing instruments having extremely high spectral resolution. The increment in spectral resolution, however, must be accompanied by an equivalent increment in radiometric resolution (i.e., number of radiance levels that can be discriminated in the presence of(More)
1. ABSTRACT Pan-sharpened Multispectral (MS) image is a fusion product in which the MS bands are sharpened via the higher-resolution panchromatic (PAN) image. In fact, the latter is acquired with the maximum resolution allowed by the imaging sensor, as well as by the datalink throughput, while the former are acquired with coarser resolutions, typically, two(More)
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