spectral bands
Estimating spectral irradiance from measurements in seven spectral bands
... estimating spectral irradiance over the VNIR region (400 - 1100nm) from the radiance of a calibrated reference panel, measured in seven narrow (10nm) spectral ...estimating spectral irradiance from ...
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Modified Conventional RGB Camera in Obtaining NDVI Spectral Bands at Ground Level Crop Canopy
... different spectral bands mostly in the visible and near- infrared (NIR) regions of the electromagnetic spectrum [1, 2] and are optical measures of vegetation canopy greenness, a composite property of leaf ...
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Investigation of Optimum Spectral Bands for Urban Area Classification from World View2 (WV2) Satellite Image
... WorldView-2 satellite provides four new unique spectral bands that give additional information for different features, Coastal blue, Yellow, Red edge and NIR-2 [7]. Coastal blue band supports vegetation ...
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Estimating the irradiance spectrum from measurements in a limited number of spectral bands
... fine spectral features in the irradiance ...field spectral measurements, and offers the possibility of improving the quality of single-beam reflectance spectra at relatively low ...
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Studying the Flux Density of Bright Active Galaxies at Different Spectral Bands
... In this paper, the investigation of the observational flux density for radio, optical (blue), and soft X-ray bands of (Sy1, Sy2, and QSO) led us to some formulas as will exhibit later, according to the ...
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Multispectral texture characterization: application to computer aided diagnosis on prostatic tissue images
... between spectral bands to deal with multi-band texture ...add spectral information to classical texture analysis methods that only treat gray-level spatial ...and spectral gray level ...
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High performance of the support vector machine in classifying hyperspectral data using a limited dataset
... The supervised classification techniques need ground truth data to be trained in the training phase of classification. Due to the large number of spectral bands of hyperspectral data, it is necessary to ...
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Satellite-based remote sensing of suspended sediments along the coast of Guyana.
... The results of this research lend support to the statement that “the integration of remotely-sensed data, GPS, and GIS technologies provides a valuable tool for monitoring and assessment of waterways”. The evolution of ...
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Coastal wetland mapping with Sentinel-2 MSI imagery based on gravitational optimized multilayer perceptron and morphological attribute profiles
... on spectral information at pixel-level, such as the normalized difference vegetation index (NDVI), normalized difference water index (NDWI), land surface water index (LSWI), and so on ...different spectral ...
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Identification of banana fusarium wilt using supervised classification algorithms with UAV-based multi-spectral imagery
... a spectral range of 400 to 900 nm with a ...five spectral bands: blue, green, red, RE, and near-infrared ...The spectral bands have a ground sampling distance (GSD) of 8 cm at a flying ...
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Grassland Height Assessment by Satellite Images
... The project has been financed in 2014 by Eurostat under the theme 8.4—“Pro- vide quality agriculture, fisheries and forestry statistics” with the title “Pilot stu- dies to develop methodological improvements to ...
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Measuring Canopy Structure and Condition Using Multi-Spectral UAS Imagery in a Horticultural Environment
... from spectral bands and vegetation indices, which were highly correlated with the field measurements, were selected for the condition ranking classification of the 66 field assessed trees (Figure ...
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Bands Regrouping of Hyperspectral Data Based on Spectral Correlation Matrix Analysis
... of spectral data distinctive in spectral resolution, which allows identification of each pixel based on its spectral ...as spectral bands increase, usually satellite instruments that ...
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Estimation of species diversity of trees and shrubs using ETM+ sensor data (Case study of forests in Qalajeh Kermanshah province)
... The Kolmogorov-Smironov test showed that Shannon-Wiener diversity index values have a normal distribution (p-value<0.05) after logarithmic conversion of the values were (p- value>0.05), and a histogram of the ...
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Assessment of multispectral and hyperspectral imaging systems for digitisation of a Russian icon
... wave- bands nearest to 605, 530 and 450 nm were chosen for the red, green and blue (RGB) channels respectively to produce a ‘false colour’ ...the spectral sensitivities of the eye’s photoreceptors nor to ...
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Spectral footprint of Botrytis cinerea, a novel way for fungal characterization
... for spectral reflectance using the six spectral zones (blue, red, near infrared and SWIR I) which showed similarity in spectral data among isolates (Data not ...the spectral analysis of each ...
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A Infrared hyperspectral imaging technique for non-invasive cancer detection.
... many bands covering the spectrum from the visible to the longwave ...narrow spectral bands over a continuous spectral range, and produce the spectra of all pixels in the ...20 bands can ...
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The Orbiting Carbon Observatory (OCO-2): spectrometer performance evaluation using pre-launch direct sun measurements
... summary, spectral fits to OCO-2 data yield expected fitting results but, as with all other current instruments mea- suring this spectral range, systematic residuals still ...for spectral fits, which ...
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Voice Activity Detection using Temporal Characteristics of Autocorrelation Lag and Maximum Spectral Amplitude in Sub bands
... This is due to combination of three sub-bands, fol- lowed by mean and variance normalization that is canceling the effect of noise level through out the signal. Sohn method (Sohn et al., 1999) for VAD provides an ...
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Alteration mineral mapping using Etm+ and hyperion remote sensing data at Bau Gold Field, Sarawak, Malaysia
... the first principal component (PC1) accounts 81.23 percent of total eigenvalue, which is higher value among the PCA images in the scene. A PCA image with higher eigenvalue contains most of the spectral information ...
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