• Aucun résultat trouvé

[PDF] Top 20 Sub-pixel detection in hyperspectral imaging with elliptically contoured t-distributed background

Has 10000 "Sub-pixel detection in hyperspectral imaging with elliptically contoured t-distributed background" found on our website. Below are the top 20 most common "Sub-pixel detection in hyperspectral imaging with elliptically contoured t-distributed background".

Sub-pixel detection in hyperspectral imaging with elliptically contoured t-distributed background

Sub-pixel detection in hyperspectral imaging with elliptically contoured t-distributed background

... remarks In this communication, we considered the detection of a sub- pixel target in hyperspectral imaging when the background is no longer Gaussian but t ... Voir le document complet

6

Robust adaptive target detection in hyperspectral imaging

Robust adaptive target detection in hyperspectral imaging

... However, with real hyperspectral data, Gaussian distri- butions rarely occur [13–16] , and more representative background distributions have been ...the Elliptically Contoured (EC) ... Voir le document complet

8

One-step Generalized Likelihood Ratio Test for
Subpixel Target Detection in Hyperspectral Imaging

One-step Generalized Likelihood Ratio Test for Subpixel Target Detection in Hyperspectral Imaging

... a hyperspectral camera, these systems usually have poor spatial resolution compared with standard ...the background are supposed to be known from secondary ...importance in geological remote ... Voir le document complet

12

Adaptive target detection in hyperspectral imaging from two sets of training samples with different means

Adaptive target detection in hyperspectral imaging from two sets of training samples with different means

... Abstract In this paper, we consider local detection of a target in hyperspectral imaging and we assume that the spectral signature of interest is buried in a background ... Voir le document complet

17

Raman Hyperspectral Imaging: An essential tool in the pharmaceutical field

Raman Hyperspectral Imaging: An essential tool in the pharmaceutical field

... • In this webinar, the expectations of the technique, its advantages and limitations will be highlighted thanks to several applications covering pharmaceutical and biomedical ...involved in the analysis of ... Voir le document complet

1

Raman Hyperspectral Imaging: An essential tool in the pharmaceutical field

Raman Hyperspectral Imaging: An essential tool in the pharmaceutical field

... for hyperspectral Raman imaging. In this example, a tablet composed of the three polymorphs of mannitol (produced in house from the commercial β form) was analyzed by Raman ... Voir le document complet

5

Online deconvolution for industrial hyperspectral imaging systems

Online deconvolution for industrial hyperspectral imaging systems

... HAL Id: hal-01801272 https://hal.archives-ouvertes.fr/hal-01801272v3 Submitted on 28 Nov 2018 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether ... Voir le document complet

33

Stochastic gravitational wave background : detection methods in non-Gaussian regimes

Stochastic gravitational wave background : detection methods in non-Gaussian regimes

... microwave background (CMB), defined as the thermal radiation left over from the time of recombination in Big Bang ...microwave background with a thermal black body spectrum at a temperature of ... Voir le document complet

243

Sub-pixel matching method for low-resolution thermal stereo images

Sub-pixel matching method for low-resolution thermal stereo images

... apparent pixel difference or motion between a pair of a stereo image” [39]. In the classical methods, the difference is expressed in integer ...precision. Sub-pixel matching pro- poses ... Voir le document complet

28

Pure species of grass discrimination with the help of hyperspectral imaging NIR

Pure species of grass discrimination with the help of hyperspectral imaging NIR

... 2006). Imaging spectroscopy provides the means to measure the reflectance of light with an array of detectors, combining spectral and spatial ...resolution. Imaging spectroscopy brings the concept of ... Voir le document complet

5

Partially Asynchronous Distributed Unmixing of Hyperspectral Images

Partially Asynchronous Distributed Unmixing of Hyperspectral Images

... configuration in which a master node supervises an optimization task distributed between several ...workers. In fact, the computa- tion time of synchronous algorithms is essentially conditioned by ... Voir le document complet

15

Sub-ppb mercury detection in real environmental samples with an improved Rhodamine-based detection system

Sub-ppb mercury detection in real environmental samples with an improved Rhodamine-based detection system

... HAL Id: hal-03026250 https://hal-amu.archives-ouvertes.fr/hal-03026250 Submitted on 26 Nov 2020 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, ... Voir le document complet

24

Partially Asynchronous Distributed Unmixing of Hyperspectral Images

Partially Asynchronous Distributed Unmixing of Hyperspectral Images

... or distributed efficiently ...asynchronous distributed alternating direc- tion method of multipliers (ADMM) [24], used to solve a distributed optimization task reformulated as a consen- sus ... Voir le document complet

14

Attosecond temporal gating with elliptically polarized light

Attosecond temporal gating with elliptically polarized light

... potential with the ionization potential of Ne — ...bars. In our analysis so far we have exploited the competition between two weak effects to measure subcycle timing information about the recollision wave ... Voir le document complet

5

Efficient Distributed Outlier Detection in Data Streams

Efficient Distributed Outlier Detection in Data Streams

... Anomaly detection · Distributed algorithms · Data streams · Approximate LOCI · Apache ...anomaly detection, since in many cases outliers correspond to abnormal ...situations. In general ... Voir le document complet

17

Joint Bayesian Hyperspectral Unmixing for change detection

Joint Bayesian Hyperspectral Unmixing for change detection

... Change Detection, Hyperspectral Imag- ing, Bayesian methods, MCMC methods, Linear ...images in hundreds and even thousands of contiguous spectral ...information in HS Images (HSIs) and their ... Voir le document complet

6

Anomaly detection and compensation for hyperspectral imagery

Anomaly detection and compensation for hyperspectral imagery

... implemented in operational numerical weather prediction (NWP) systems assimilating satellite ...validated in this thesis were chosen because of their good agreement with ECMWF which will be discussed ... Voir le document complet

160

Joint Bayesian Hyperspectral Unmixing for change detection

Joint Bayesian Hyperspectral Unmixing for change detection

... Change Detection, Hyperspectral Imag- ing, Bayesian methods, MCMC methods, Linear ...images in hundreds and even thousands of contiguous spectral ...information in HS Images (HSIs) and their ... Voir le document complet

5

Analysis of Soils in Agriculture and Archaeology by NIR Hyperspectral Imaging

Analysis of Soils in Agriculture and Archaeology by NIR Hyperspectral Imaging

... Soils in Agriculture and Archaeology by NIR Hyperspectral Imaging Juan Antonio Fernández Pierna 1 , Damien Vincke 1 , Damien Eylenbosch 2 , Bernard Bodson 2 , Rebecca Miller 3 , Edith Stassart 3 , ... Voir le document complet

1

Octave-spanning hyperspectral coherent diffractive imaging in the extreme ultraviolet range

Octave-spanning hyperspectral coherent diffractive imaging in the extreme ultraviolet range

... for imaging nanometer-scale ...4]. Imaging of sub-micron sized objects that cannot be easily crystallized is a problem that has been addressed with intense x-ray free electron laser (XFEL) ... Voir le document complet

11

Show all 10000 documents...