The spatial resolution of hyperspectral image is often low due to the limitation of the imaging spectrometer. Fusing the original hyperspectral image with high-spatialresolution panchromatic image is an effective approach to enhance the resolution of hyperspectral image. However, it is hard to preserve the spectral information at the same time of enhancing the resolution by the traditional fusi...

The mapping of hydrothermal alteration zones associated with epithermal gold deposits on the island of Lesvos in Greece has been carried out using Landsat Thematic Mapper (TM) satellite and ground remote sensing data. The initial analysis of the satellite data using the minimum noise fraction, matched filter and spectral unmixing techniques identified the altered rock outcrops clearly. The iden...

The nonuniformity of the spatial response to surface radiation is a fundamental characteristic of all airborne and spaceborne sensors that inevitably introduces uncertainty into the estimation of object proportions by the spectral unmixing of mixed pixels. Simulated data of the surface radiation distribution and a TM (thematic mapper) response matrix were developed and utilized to imitate the g...

A specific ratiometric nanoprobe for hypochlorite was constructed as a paradigm of FRET spectral unmixing. The separation of FRET pairs' emissions reaches 175 nm, which ensures that the FRET probing is more accurate. This new nanoprobe shows high selectivity and potential in biological systems.

Alessandro Mecocci University of Siena Department of Information Engineering Via Roma, 56 53100-Siena Si , Italy Abstract. The problem of input noise affecting the subpixel classification is examined in order to assess its relationship with the output noise. The approach followed in this study was to investigate the output noise level obtained with a least-squares subpixel classification algori...

The main problem of segmentation in spectral images that containing mixed pixels is addressed. Linear spectral unmixing is a procedure by which mixed pixels are decomposed into a collection of pure spectra, or endmembers, with their corresponding proportions, or abundances. Markov random field (MRF) is used to model the spatial correlation between pixels and segment the image into multiple clas...

This work aims to extract the mineralogical constituents of the Lahroud Hyperion scene situated in the NW of Iran. Like the other push-broom sensors, Hyperion images suffer from spectral distortions, namely the smile effect. The corresponding spectral curvature is defined as an across-track wavelength shift from the nominal central wavelength, and alters the pixel spectra. The common “column me...

Remote sensing image analysis can be carried out at the per-pixel (hard) and sub-pixel (soft) scales. The former refers to the purity of image pixels, while the latter refers to the mixed spectra resulting from all objects composing of the image pixels. The spectral unmixing methods have been developed to decompose mixed spectra. Data-driven unmixing algorithms utilize the reference data called...

The spectral dimension of hyperspectral imaging (HSI) systems plays a fundamental role in numerous terrestrial and earth observation applications, including spectral unmixing, target detection, and classification among others. However, in several cases the spectral resolution of HSI systems is sacrificed for the shake of spatial resolution, as such in the case of snapshot spectral imaging syste...