نتایج جستجو برای: QUAC

تعداد نتایج: 27  

Journal: :Plant physiology 2000
B Köhler K Raschke

To explore possible pathways for anions to enter the xylem in the root during the transport of salts to the shoot, we used the patch-clamp method on protoplasts prepared from the xylem parenchyma of barley (Hordeum vulgare L.) plants. K(+) currents were suppressed by tetraethylammonium or N-methylglucamine in the solutions in the pipette and the bath, and the permeating anions were Cl(-) or NO(...

2015
M. Cubero-Castan Dragos Constantin Kevin Barbieux V. Nouchi Y. Akhtman Bertrand Merminod

The estimation of reflectance from hyperspectral data, a process called atmospheric correction, is a critical first step. Most of the methods need measurements of ground reflectances or atmosphere. When no information is available, unsupervised methods as Quick Atmospheric Correction (QUAC) exist assuming a large variability on the scene. But when studies on specific materials are conducted, no...

2012
Ingo Dreyer Judith Lucia Gomez-Porras Diego Mauricio Riaño-Pachón Rainer Hedrich Dietmar Geiger

Electrophysiological analyses conducted about 25 years ago detected two types of anion channels in the plasma membrane of guard cells. One type of channel responds slowly to changes in membrane voltage while the other responds quickly. Consequently, they were named SLAC, for SLow Anion Channel, and QUAC, for QUick Anion Channel. Recently, genes SLAC1 and QUAC1/ALMT12, underlying the two differe...

2012
Yunkai GUO Fan ZENG

Atmospheric correction of satellite remote sensing image is the precondition of quantitative remote sensing study, and also among the difficulties of it. There are various methods and models for atmospheric correction. The author makes the atmospheric correction of SPOT-5 multi-spectrum remote sensing image covering Changsha, Zhuzhou and Xiangtan by adopting Model FLAASH and Model QUAC in the t...

Journal: :Pattern Recognition 2014
David Hanwell Majid Mirmehdi

We present a novel unsupervised algorithm for quickly finding clusters in multidimensional data. It does not make the assumption of isotropy, instead taking full advantage of the anisotropic Gaussian kernel, to adapt to local data shape and scale. We employ some little-used properties of the multivariate Gaussian distribution to represent the data, and also give, as a corollary of the theory we...

2014
Vincent Ross Jean-Pierre Ardouin

Multispectral and hyperspectral imagery usually require atmospheric correction to remove the influence of the environment on the measurements. The images may then be converted in reflectance units. There are generally two different classes of algorithms that attempt to transform at-sensor radiance or raw images into reflectance. One class consists of first principles methods that rely on physic...

Journal: :Bulletin of the World Health Organization 1997
Z Mei L M Grummer-Strawn M de Onis R Yip

Mid-upper-arm circumference (MUAC) based on a single cut-off value for all the children less than 5 years of age has been used for many years as an alternative nutritional status index for children during famines or refugee crises, and as an additional screening tool in nonemergencies. However, it has recently been questioned whether MUAC is age- and sex-independent. After reviewing the scienti...

Journal: :Water research 2012
Wesley J Moses Anatoly A Gitelson Richard L Perk Daniela Gurlin Donald C Rundquist Bryan C Leavitt Tadd M Barrow Paul Brakhage

Algorithms based on red and near infra-red (NIR) reflectances measured using field spectrometers have been previously shown to yield accurate estimates of chlorophyll-a concentration in turbid productive waters, irrespective of variations in the bio-optical characteristics of water. The objective of this study was to investigate the performance of NIR-red models when applied to multi-temporal a...

Journal: :Remote Sensing 2018
Sijie Zhu Bin Lei Yirong Wu

Many methods based on radiative-transfer models and empirical approaches with prior knowledge have been developed for the retrieval of hyperspectral surface reflectance. In this paper, we propose a novel approach for atmospheric correction of hyperspectral images based on machine learning. A support vector machine (SVM) is used for learning to predict the surface reflectance from the preprocess...

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