Spectral Estimation
Mostrando 1-12 de 54 artigos, teses e dissertações.
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1. Validation of white oat yield estimation models using vegetation indices
ABSTRACT The use of remote sensing in agriculture presents some practical applications in crop production forecast. In this context, studies with remote sensing are scarce for crops such as white oats, which may indicate the capacity of using this technique in the crop. The aim of this study was to evaluate the accuracy in validation of white oat biomass and
Bragantia. Publicado em: 2020-06
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2. DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT
ABSTRACT The objective of this study was to establish multivariate models for the prediction of wood basic density with reference to the values of average density of trees and near infrared (NIR) spectra measured in the breast height. The wood basic density of 39 Eucalyptus clones was determined in the laboratory by means of the mean longitudinal positions o
CERNE. Publicado em: 20/12/2019
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3. Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
RESUMO A caracterização da composição elementar fornece informações úteis para caracterizar o grau de alteração dos solos. Em Miandoab, norte do Irã, esta caracterização não existe. Os objetivos deste trabalho foram avaliar o grau de intemperismo dos solos típicos da região usando a sua composição elementar e estimar esta composição usando
Rev. bras. eng. agríc. ambient.. Publicado em: 01/07/2019
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4. Space-Temporal analysis of suspended sediment in low concentration reservoir by remote sensing
RESUMO O estudo de pequenos reservatórios e com baixa concentração de sedimentos em suspensão (CSS) ainda é um desafio para o sensoriamento remoto. Neste trabalho estimamos a CSS a partir das propriedades óticas da água e de imagens orbitais. Realizamos campanhas em datas escolhidas em função do calendário de passagem dos sensores, sazonalidade das
RBRH. Publicado em: 02/05/2019
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5. Wood Volume Estimation in a Semidecidual Seasonal Forest Using MSI and SRTM Data
ABSTRACT The objective of this study was to evaluate the use of the MSI Sentinel-2 and SRTM data to estimate the volume of wood in a Semidecidual Seasonal Forest. Regression equations were fitted based on the remote sensing data, taking into consideration the individual bands and vegetation index of the MSI, elevation values and their derivatives obtained f
Floresta Ambient.. Publicado em: 25/03/2019
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6. Mean scatterer space estimation from ultrasound signals combining singular spectral analysis and entropy
AbstractIntroduction: Ultrasound (US) is a nonionizing radiation capable of real time imaging at low cost. Its most attractive application is quantitative tissue characterization with the objective of differentiating normal tissues from diseased tissues. In this study, an automated method using singular spectrum analysis (SSA) to estimate the mean scatterer
Res. Biomed. Eng.. Publicado em: 2018-06
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7. Use of a combined SVD-Kalman filter approach for induction motor broken rotor bars identification
Abstract This paper describes a new parametric spectral estimator for the identification of rotor bar fault of an induction motor by analyzing the stator current. This approach combines two methods: The first one, the Singular Value Decomposition method which allows the accurate detection and location of the fault's signature frequency. The second method all
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2018-03
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8. Comparative study of periodicity estimation methods using ultrasonic signals
Abstract Introduction Various signal-processing techniques have been proposed to extract quantitative information about internal structures of tissues from the original radio frequency (RF) signals instead of an ultrasound image. The quantifiable parameter called the mean scatterer spacing (MSS) can be useful to detect changes in the quasi-periodic microstr
Res. Biomed. Eng.. Publicado em: 09/09/2016
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9. Plantar thermography is useful in the early diagnosis of diabetic neuropathy
OBJECTIVES: This study evaluated plantar thermography sensitivity and specificity in diagnosing diabetic polyneuropathy using cardiac tests (heart rate variability) as a reference standard because autonomic small fibers are affected first by this disease. METHODS: Seventy-nine individuals between the ages of 19 and 79 years old (28 males) were evaluated and
Clinics. Publicado em: 2012-12
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10. Mapeamento da área cultivada e estimativa do rendimento de grãos de arroz irrigado a partir de modelos agrometeorológicos-espectrais para o Rio Grande do Sul / Crop area mapping and crop rice yields estimation using agrometeorological-spectral models for Rio Grande do Sul state, Brazil
The objective of this study was to characterize the irrigated rice crop at Rio Grande do Sul State and to test a methodology to define the cultivated area and to estimate the grain yield through the adjustment of the agrometeorological-spectral models. The study was developed for the six rice-growing regions of Rio Grande do Sul. Data of the irrigated rice g
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2012
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11. Estimation of sugar cane productivity using a time series of AVHRR/NOAA-17 images and a phenology-spectral model.
Despite the economic and social importance of agribusiness in Brazil, the accurate estimation of the production of its main agricultural crops, such as sugar cane, is still a big challenge to the Country. Thus this work has the objective to assess a methodology based on the use of a phenology-spectral model proposed by Pellegrino (2001) and a time series of
INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES. Publicado em: 2011
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12. Structural characterization from empirical modeling and GRART model evaluation in the Eucalyptus spp. canopies spectral characterization / Caracterização estrutural a partir de modelos empíricos e avaliação do modelo GRART na caracterização espectral de dosséis de Eucalyptus spp
Empirical modeling and models based on transfer theory have been applied to estimate quantitative information from spectral data and from their relationships with canopy biophysical parameters. Both modeling strategies have been explored here in order to estimate structural and spectral information from extit{Eucalyptus} spp. (eucalipto) canopies. Correlati
Publicado em: 2010