Spatiotemporal fusion in remote sensing plays an important role Earth science applications by using information complementarity between different data to improve image performance. However, several problems still exist, such as edge contour blurring and uneven pixels the predicted real ground image, extraction of salient features convolutional neural networks (CNNs). We propose a spatiotemporal...

Moon Mineralogy Mapper/Chandrayaan-1. Moon Mineralogy Mapper (M) is one of eleven instruments selected to fly onboard India’s Chandrayaan-1 spacecraft in 2008. M, selected as a NASA Discovery Mission of Opportunity in May, 2004, is a high spatial and spectral resolution spectrometer that will help scientists better understand the compositional variation of the Moon’s surface. Ms overall science...

We solve the Angel Problem, by describing a strategy that guarantees an Angel of power 2 or greater to win. Basically, the Angel should move north as quickly as possible. However, he should detour around eaten squares, as long as the extra distance does not exceed twice the number of eaten squares evaded. We show that an Angel following this strategy will always spot a trap early enough to avoi...

Algorithmic method to obtain abelian subalgebras and ideals in Lie algebras Manuel Ceballos a , Juan Núñez a & Ángel F. Tenorio b a Departamento de Geometría y Topología, Facultad de Matemáticas., Universidad de Sevilla, Aptdo. 1160, 41080, Seville, Spain b Departamento de Economía, Métodos Cuantitativos e Historia Económica, Escuela Politécnica Superior, Universidad Pablo de Olavide, Ctra. Utr...

X-ray fluorescence (XRF) and reflectance spectroscopy (RS) are commonly used for the characterization of painting materials. It is well known that former provides chemical fingerprint pictorial layers, while latter returns molecular description pigments constituting uppermost layers. Even if these two techniques cannot unveil stratigraphy, their synergetic application describes materials employ...

Hyperspectral imaging can help blueberry growers by detecting berries of various maturity stages, so that they can deploy harvesting labors more efficiently. Spectral-spatial detection from hyperspectral images using selected bands is applied to the blueberry maturity stage detection. Nested clustering technique and morphological operations are used as two approaches to spatially process the hy...

In this paper a new classification technique for hyperspectral data based on synergetics theory is presented. Synergetics – originally introduced by the physicist H. Haken – is an interdisciplinary theory to find general rules for pattern formation through selforganization and has been successfully applied in fields ranging from biology to ecology, chemistry, cosmology, and thermodynamics up to...

The emergence of the spectral variation hypothesis (SVH) has gained widespread attention in remote sensing community as a method for deriving biodiversity information from remotely sensed data. SVH states that heterogeneity on imagery reflects environmental heterogeneity, which turn is associated with high species diversity and, therefore, could be useful characterizing landscape biodiversity. ...

The recent development and miniaturization of hyperspectral sensors embedded in drones has allowed the acquisition images with high spectral spatial resolution. characteristics both (viewing angle, flying altitude, resolution) create opportunities to consider use imagery map monitor macroalgae communities. In general, overflight areas be mapped is conconmittently associated accompanied measurem...