Maximum Likelihood Classification
Mostrando 1-12 de 44 artigos, teses e dissertações.
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1. Sparse Estimation of the Precision Matrix and Plug-In Principle in Linear Discriminant Analysis for Hyperspectral Image Classification
ABSTRACT In this paper, a new method for supervised classification of hyperspectral images is proposed for the case in which the size of the training sample is small. It consists of replacing in the Mahalanobis distance the maximum likelihood estimator of the precision matrix by a sparse estimator. The method is compared with two other existing versions of L
Trends in Computational and Applied Mathematics. Publicado em: 2022
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2. Annual cropland mapping using data mining and OLI Landsat-8
RESUMO No Estado do Paraná, Brasil, não há grandes mudanças nas áreas cultivadas com culturas anuais, principalmente devido a leis ambientais que não permitem expansões para novas áreas. Há grande contribuição das culturas anuais para a demanda doméstica de alimentos e econômica nas exportações. Assim, a área e distribuição das culturas anu
Rev. bras. eng. agríc. ambient.. Publicado em: 25/11/2019
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3. Resistance to Pratylenchus brachyurus in Vitis species population through multivariate approaches and mixed models
ABSTRACT: Genetically diverse interspecific hybrids of Vitis were selected for resistance to Pratylenchus brachyurus. Three segregating populations with 57 hybrid crosses were evaluated. The parents included Vitis romanetiiC166-043 × 07355-075, 06354-047 × Cereza and 06354-047 × Nocera, selected from the germplasm bank at the University of California, Dav
Sci. agric. (Piracicaba, Braz.). Publicado em: 20/05/2019
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4. CLASS-BASED AFFINITY PROPAGATION FOR HYPERSPECTRAL IMAGE DIMENSIONALITY REDUCTION AND IMPROVEMENT OF MAXIMUM LIKELIHOOD CLASSIFICATION ACCURACY
Resumo Este artigo investiga um método de classificação alternativo que integra o algoritmo de clusterização propagação de afinidade baseado nas classes (PAC) e o Classificador Máxima Verossimilhança (MAXVER) com a finalidade de superar as limitações do MAXVER na classificação de dados de alta dimensionalidade e, assim, melhorar a sua acurácia.
Bol. Ciênc. Geod.. Publicado em: 18/04/2019
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5. Land use in Permanent Preservation Areas of Grande River (MG)
ABSTRACT The Brazilian Forestry Code established the Permanent Preservation Areas (PPAs) to preserve environmentally significant areas, such as the banks of waterways. Grande River is an important Brazilian river whose watercourse contains several hydroelectric plants, with few PPAs containing original features. Thus, this study analyzed land use in PPAs of
Floresta Ambient.. Publicado em: 01/02/2018
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6. COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE
ABSTRACT: The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects. Thus, a Geographic Object-Based Image Analysis (GEOBIA) was compared in conjunction with data mining techn
Eng. Agríc.. Publicado em: 2017-09
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7. Caracterização ambiental e estimativa da produção de cargas difusas da área de drenagem da represa de Itupararanga, SP / Environmental characterization and estimative of diffuse pollution of Itupararanga watershed, SP
The use of satellite images has improved the study of the land use dynamics. Land cover mapping have become fundamental tools in the assessment of landscape changes caused by human action and its influence on regional and urban planning. Computation tools such as Geographic Information Systems and hydrological models have supported these findings. The hydrol
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/05/2012
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8. The Poisson-exponential regression model under different latent activation schemes
In this paper, a new family of survival distributions is presented. It is derived by considering that the latent number of failure causes follows a Poisson distribution and the time for these causes to be activated follows an exponential distribution. Three different activationschemes are also considered. Moreover, we propose the inclusion of covariates in t
Comput. Appl. Math.. Publicado em: 2012
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9. Parâmetros genéticos para características lineares de tipo e produtivas em vacas da raça holandesa no Brasil / Genetic parameters for linear type and yield traits in holstein cows in brazil
The objective of this study was to estimate genetic and phenotypic parameters for 21 linear type traits over the final score and milk yield traits (MY), fat (FY) and protein (PP) in herds of Holstein dairy cattle in Brazil. The 18,500 records used in this study were collected by staff of the Brazilian Association of Cattle Breeders of Holstein between 1994 a
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2012
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10. Análise da diversidade genética e evolução molecular de Infectious bursal disease virus (IBDV) / Analysis of genetic diversity and molecular evolution of Infectious bursal disease virus (IBDV)
Infectious bursal disease virus (IBDV) is considered one of the most important pathogens for chickens of the poultry industry. Considering the differences in levels of virulence among isolates of IBDV, this paper proposes a non-arbitrary genotyping definition and a unified nomenclature for the viral isolates of IBDV. In this approach, the sets of 96 VP2 and
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/11/2011
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11. Análise de imagem polarimétrica TerraSAR-X para classificação de uso e cobertura da terra na porção sudoeste da Amazônia Brasileira / TerraSAR-X image for classification the land use and land cover in the southwest portion of the Brazilian Amazon
The objective of this study is to analyze the potential use of images from satellite TerraSAR-X, at StripMap acquisition mode, to map and identify the land use and land cover (LULC) in the southwestern Brazilian Amazon. Classifiers based on statistical functions for maximum likelihood (ML) method and based on frequency-based contextual and neural network cla
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/02/2011
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12. Influência do declive na exatidão do classificador MAXVER para o mapeamento da cultura do café.
This work evaluates the influence of slope in the classification of remotely sensed images used to map coffee lands of the region of Três Pontas in the state of Minas Gerais in Brazil. A Landsat image from 07/16/2008, restaured to 10 m, was used for both, the visual classification, considered as reference map, and the supervised classification using the max
SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO. Publicado em: 2011