Results 31 to 40 of about 153,264 (305)

Augmented GBM Nonlinear Model to Address Spectral Variability for Hyperspectral Unmixing

open access: yesRemote Sensing, 2023
Spectral unmixing (SU) is a significant preprocessing task for handling hyperspectral images (HSI), but its process is affected by nonlinearity and spectral variability (SV). Currently, SV is considered within the framework of linear mixing models (LMM),
Linghong Meng   +5 more
doaj   +1 more source

Variability and spectral variation of 3C 66A [PDF]

open access: yesAstrophysics and Space Science, 2011
3C 66A was monitored by the BATC(Beijing-Arizona-Taipei-Connecticut) telescope from 2005 to 2008,1994 observations were obtained on 89 nights. Detailed research and analysis was performed on these observations in this paper. A long term burst occurred in the whole light curve.
Hu, Shao Ming   +5 more
openaire   +2 more sources

Reducing the impacts of intra-class spectral variability on the accuracy of soft classification and super-resolution mapping of shoreline [PDF]

open access: yes, 2019
The main objective of this research is to assess the impact of intra-class spectral variation on the accuracy of soft classification and super-resolution mapping.
Doan, Huong T.X.   +2 more
core   +2 more sources

Spectral Simplicity and Asymptotic Separation of Variables [PDF]

open access: yesCommunications in Mathematical Physics, 2011
We describe a method for comparing the real analytic eigenbranches of two families of quadratic forms that degenerate as t tends to zero. One of the families is assumed to be amenable to `separation of variables' and the other one not. With certain additional assumptions, we show that if the families are asymptotic at first order as t tends to 0, then ...
Hillairet, Luc, Judge, Chris
openaire   +5 more sources

Estimating the irradiance spectrum from measurements in a limited number of spectral bands [PDF]

open access: yes, 2006
Accurate measurement and characterisation of fluctuations in the irradiance environment is important for many areas of optical remote sensing. This paper describes a method of estimating spectral irradiance over the region 400 – 1000 nm from the radiance
Milton, E.J., Rollin, E.M.
core   +1 more source

Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance

open access: yesRemote Sensing, 2023
Genetic variation among populations within plant species can have huge impact on canopy biochemistry and structure across broad spatial scales. Since canopy spectral reflectance is determined largely by canopy biochemistry and structure, spectral ...
Jingxue Zhang   +9 more
doaj   +1 more source

New spectral functions of the near-ground albedo derived from aircraft diffraction spectrometer observations [PDF]

open access: yes, 2014
The airborne spectral observations of the upward and downward irradiances are revisited to investigate the dependence of the near-ground albedo as a function of wavelength in the entire solar spectrum for different surfaces (sand, water, snow) and under ...
C. A. Varotsos   +9 more
core   +1 more source

Editorial for Special Issue “Hyperspectral Imaging and Applications”

open access: yesRemote Sensing, 2019
Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging.
Chein-I Chang   +3 more
doaj   +1 more source

REMARKABLE SPECTRAL VARIABILITY OF PDS 456 [PDF]

open access: yesThe Astrophysical Journal, 2010
We report on the highest to date signal-to-noise-ratio X-ray spectrum of the luminous quasar PDS 456, as obtained during two XMM-Newton orbits in September 2007. The present spectrum is considerably different from several previous X-ray spectra recorded for PDS 456 since 1998.
Behar, E   +5 more
openaire   +3 more sources

Synthesis of Synthetic Hyperspectral Images with Controllable Spectral Variability Using a Generative Adversarial Network

open access: yesRemote Sensing, 2023
In hyperspectral unmixing (HU), spectral variability in hyperspectral images (HSIs) is a major challenge which has received a lot of attention over the last few years.
Burkni Palsson   +2 more
doaj   +1 more source

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