Results 21 to 30 of about 152,938 (206)

An Endmember Bundle Extraction Method Based on Multiscale Sampling to Address Spectral Variability for Hyperspectral Unmixing

open access: yesRemote Sensing, 2021
With the improvement of spatial resolution of hyperspectral remote sensing images, the influence of spectral variability is gradually appearing in hyperspectral unmixing.
Chuanlong Ye   +5 more
doaj   +1 more source

An Improved Cloud Masking Method for GOCI Data over Turbid Coastal Waters

open access: yesRemote Sensing, 2021
Clouds severely hinder the radiative transmission of visible light; thus, correctly masking cloudy and non-cloudy pixels is a preliminary step in processing ocean color remote sensing data.
Shiming Lu   +6 more
doaj   +1 more source

On the typical spectral shape of an economic variable [PDF]

open access: yesApplied Economics Letters, 2003
In a classic article, Granger (Econometrica 34, 1966) asserted that most economic time series measured in level have spectra that exhibit a smooth declining shape with considerable power at very low frequencies. There has been no systematic attempt to examine Granger's assertion with international data.
Levy, Daniel, Dezhbakhsh, Hashem
openaire   +7 more sources

A search for spectral variability in WR1 [PDF]

open access: yesSymposium - International Astronomical Union, 1995
Preliminary results of spectroscopic monitoring of the WN5-B star WR1 (HD 4004) are presented, showing evidence for a 0d.775 period.
openaire   +1 more source

The MEXSAS2 Sample and the Ensemble X-ray Variability of Quasars

open access: yesFrontiers in Astronomy and Space Sciences, 2017
We present the second Multi-Epoch X-ray Serendipitous AGN Sample (MEXSAS2), extracted from the 6th release of the XMM Serendipitous Source Catalog (XMMSSC-DR6), cross-matched with Sloan Digital Sky Survey quasar Catalogs DR7Q and DR12Q.
Roberto Serafinelli   +4 more
doaj   +1 more source

Hyperspectral Target Detection Methods Based on Statistical Information: The Key Problems and the Corresponding Strategies

open access: yesRemote Sensing, 2023
Target detection is an important area in the applications of hyperspectral remote sensing. Due to the full use of information of the target and background, target detection algorithms based on the statistical characteristics of an image are always occupy
Luyan Ji, Xiurui Geng
doaj   +1 more source

Spectral variability of IL cephei

open access: yesAstrophysical Bulletin, 2013
The results of six years of spectroscopic studies of the Herbig Be star IL Cep (HD216629) are reported. Various spectral parameters of the Hα and Hβ emission lines and those of the He I λ 5876 A absorption feature are found for the first time to have exhibited slow variations in 2006–2011 and to have reached their extrema in 2009–2010.
Ismailov, N. Z.   +3 more
openaire   +2 more sources

A Multi-Attention Autoencoder for Hyperspectral Unmixing Based on the Extended Linear Mixing Model

open access: yesRemote Sensing, 2023
Hyperspectral unmixing, which decomposes mixed pixels into the endmembers and corresponding abundances, is an important image process for the further application of hyperspectral images (HSIs).
Lijuan Su, Jun Liu, Yan Yuan, Qiyue Chen
doaj   +1 more source

Determinants of short-period heart rate variability in the general population [PDF]

open access: yes, 2001
Decreased heart rate variability (HRV) is associated with a worse prognosis in a variety of diseases and disorders. We evaluated the determinants of short-period HRV in a random sample of 149 middle-aged men and 137 women from the general population ...
Kuch, Bernhard   +6 more
core   +1 more source

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

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