Results 31 to 40 of about 1,395,579 (341)

Hyperspectral Band Selection via Optimal Combination Strategy

open access: yesRemote Sensing, 2022
Band selection is one of the main methods of reducing the number of dimensions in a hyperspectral image. Recently, various methods have been proposed to address this issue.
Shuying Li   +3 more
doaj   +1 more source

A contribution to the selection of emission-line galaxies using narrow-band filters in the optical airglow windows [PDF]

open access: yes, 2007
Emission line galaxies are an invaluable tool for our understanding of the evolution of galaxies in the Universe. Imaging of deep fields with narrow-band filters allows not only the selection of these objects, but also to infer the line flux and the ...
Ajiki M.   +12 more
core   +3 more sources

Crop Classification for Agricultural Applications in Hyperspectral Remote Sensing Images

open access: yesApplied Sciences, 2022
Hyperspectral imaging (HSI), measuring the reflectance over visible (VIS), near-infrared (NIR), and shortwave infrared wavelengths (SWIR), has empowered the task of classification and can be useful in a variety of application areas like agriculture, even
Loganathan Agilandeeswari   +4 more
doaj   +1 more source

Coherence and incoherence in extended broad band triplet interaction [PDF]

open access: yes, 2008
In the present analysis we study the transition from coherent to incoherent dynamics in a nonlinear triplet of broad band combs of waves. Expanding the analysis of previous works, this paper investigates what happens when the band of available modes is ...
de Oliveira, G. I., Rizzato, F. B.
core   +2 more sources

Fluorescence Hyperspectral Imaging for Early Diagnosis of Heat-Stressed Ginseng Plants

open access: yesApplied Sciences, 2022
Ginseng is a perennial herbaceous plant that has been widely consumed for medicinal and dietary purposes since ancient times. Ginseng plants require shade and cool temperatures for better growth; climate warming and rising heat waves have a negative ...
Mohammad Akbar Faqeerzada   +7 more
doaj   +1 more source

A deep, narrow J-band search for proto-galactic Lyman Alpha emission at redshifts z~9 [PDF]

open access: yes, 2004
We present a deep, narrow J-band search for proto--galactic Lyman Alpha emission at redshifts z~9. We combine an exceptionally deep image of the Hubble Deep Field South, obtained using a narrow band filter centred on the wavelength 1.187 microns using ...
Courbin, F., Willis, J. P.
core   +1 more source

Hyperspectral imagery visualization using band selection

open access: yes2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2012
This paper investigates hyperspectral image display based on selection of three spectral channels to build a red-green-blue (RGB) composite. A series of band selection algorithms are implemented and compared for this purpose. In particular, three color composition schemes based on visualization-oriented spectral segmentations are proposed.
Hongjun Su, Qian Du, Peijun Du
openaire   +1 more source

Reducing the Effect of the Endmembers’ Spectral Variability by Selecting the Optimal Spectral Bands

open access: yesRemote Sensing, 2017
Variable environmental conditions cause different spectral responses of scene endmembers. Ignoring these variations affects the accuracy of fractional abundances obtained from linear spectral unmixing. On the other hand, the correlation between the bands
Omid Ghaffari   +2 more
doaj   +1 more source

A multi-band high selectivity frequency selective surface for ka-band applications

open access: yes2017 10th Global Symposium on Millimeter-Waves, 2017
This paper proposes a new method to implement Frequency Selective Surfaces (FSSs) with sharp band edge transitions suitable for millimetres wave applications. A bandpass FSS can be realized by combining two bandstop FSS structures on the same plane.
Hussein, Muaad   +3 more
openaire   +1 more source

Evaluation of Informative Bands Used in Different PLS Regressions for Estimating Leaf Biochemical Contents from Hyperspectral Reflectance

open access: yesRemote Sensing, 2019
Partial least squares (PLS) regression models are widely applied in spectroscopy to estimate biochemical components through hyperspectral reflected information.
Jia Jin, Quan Wang
doaj   +1 more source

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