Results 61 to 70 of about 5,333 (191)

Spectral material mapping using hyperspectral imagery: a review of spectral matching and library search methods

open access: yesGeocarto International, 2013
Imaging spectroscopy is an emerging and versatile technique that finds applications in diverse fields concerned with remote identification, discrimination and mapping of materials. The large amount of spectral data produced by hyperspectral imaging necessitates the development of automated techniques that convert imagery directly into thematic maps ...
Sennaraj Vishnu   +2 more
openaire   +1 more source

A new approach to the treatment of Separatrix Chaos and its applications [PDF]

open access: yes, 2010
We consider time-periodically perturbed 1D Hamiltonian systems possessing one or more separatrices. If the perturbation is weak, then the separatrix chaos is most developed when the perturbation frequency lies in the logarithmically small or moderate ...
P. V. E. McClintock   +10 more
core   +1 more source

Dimension reduction and entropy-based hyperspectral image visualization using hue, saturation, and brightness

open access: yesFrontiers in Remote Sensing
Hyperspectral imaging (HSI) captures rich spectral data across hundreds of contiguous bands for diverse applications. Dimension reduction (DR) techniques are commonly used to map the first three reduced dimensions to the red, green, and blue channels for
Vahe Atoyan   +5 more
doaj   +1 more source

Making music through real-time voice timbre analysis: machine learning and timbral control

open access: yes, 2010
PhDPeople can achieve rich musical expression through vocal sound { see for example human beatboxing, which achieves a wide timbral variety through a range of extended techniques.
Stowell, Dan
core  

Deep Learning-Enhanced Hybrid Beamforming Design with Regularized SVD Under Imperfect Channel Information

open access: yesMathematics
We propose a low-complexity hybrid beamforming method for massive Multiple-Input Multiple-Output (MIMO) systems that is robust to Channel State Information (CSI) estimation errors. These errors stem from hardware impairments, pilot contamination, limited
S. Pourmohammad Azizi   +3 more
doaj   +1 more source

Multi-Partition Mapping Simulation Method for Stellar Spectral Information

open access: yesPhotonics
Stellar radiation simulation is critical in the space industry; however, with the current simulation methods, only a single color temperature and magnitude can be modulated at a time. Furthermore, star sensors rely on star observation tests for accurate calibration; this seriously restricts their development.
Yu Zhang   +8 more
openaire   +2 more sources

Partial inverse problems for Sturm-Liouville operators on trees

open access: yes, 2017
n this paper, inverse spectral problems for Sturm–Liouville operators on a tree (a graph without cycles) are studied. We show that if the potential on an edge is known a priori, then b – 1 spectral sets uniquely determine the potential functions on a ...
Chung-Tsun Shieh   +2 more
core   +1 more source

Regional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes

open access: yesFire
Fires are one of the main sources of disturbance in fire-sensitive ecosystems such as the Amazon. Any attempt to characterize their impacts and establish actions aimed at combating these events presupposes the correct identification of the affected areas.
Poliana Domingos Ferro   +8 more
doaj   +1 more source

Skew Incidence Plane-Wave Scattering From 2-D Dielectric Periodic Structures: Analysis by the Mortar-Element Method [PDF]

open access: yes, 2015
A full-wave simulator of 2-D dielectric periodic structures under skew plane wave incidence is presented in this paper. A differential formulation is used and the boundary value problem is solved by means of a multi-domain spectral method.
TIBALDI, ALBERTO   +5 more
core   +1 more source

Overcoming the Domain Gap Between Multi-Band NIR and RGB for Colorization

open access: yesIEEE Access
Near-infrared (NIR) imaging has been widely utilized in low-light applications due to its ability to capture fine textures with less noise compared to RGB sensors, but the absence of color information makes NIR imagery less intuitive for human perception.
Gyeong-Eun Youm, Jong-Ok Kim
doaj   +1 more source

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