Search Results - "Haertel, Victor"

Spectral linear mixing model in low spatial resolution image data by Haertel, V.F., Shimabukuro, Y.E.

“…Different ways to estimate the spectral reflectance for the component classes in a mixture problem have been proposed in the literature (pure pixels, spectral…”
Get full text

Gradual land cover change detection based on multitemporal fraction images by Zanotta, Daniel C., Haertel, Victor

“…This study proposes a new approach to change detection in remote sensing multi-temporal image data. Rather than allocating pixels to one of two disjoint…”
Get full text

On the use of ancillary data by applying the concepts of the theory of evidence to remote sensing digital image classification by Lersch, Rodrigo, Haertel, Victor

“…In this study we investigate a new approach to implement concepts developed by the 'theory of evidence' to remote sensing digital image classification. In the…”
Get full text

Linear Spectral Mixing Model for Identifying Potential Missing Endmembers in Spectral Mixture Analysis by Capella Zanotta, Daniel, Haertel, Victor, Shimabukuro, Yosio Edemir, Daleles Renno, Camilo

“…A problem that is frequently arising in the spectral mixture analysis is how to correctly identify the endmembers present in the scene. In the analysis of…”
Get full text

On the classification of remote sensing high spatial resolution image data by Batista, Marlos Henrique, Haertel, Victor

“…In this paper is investigated a methodology implementing an object-based approach to digital image classification using spectral and spatial attributes in a…”
Get full text

Feature Extraction in Remote Sensing High-Dimensional Image Data by Zortea, M., Haertel, V., Clarke, R.

“…High-dimensional image data open new possibilities in remote sensing digital image classification, particularly when dealing with classes that are spectrally…”
Get full text

INVESTIGAÇÃO SOBRE MÉTODOS PARA REDUÇÃO DA DIMENSIONALIDADE DOS DADOS EM IMAGENS HIPERESPECTRAIS by Maciel Zortea, Vitor Haertel, Robin Thomas Clarke

“…Neste estudo é proposta uma nova metodologia para fins de redução da dimensionalidade dos dados em imagens hiperespectrais. Nesta abordagem, parte-se da…”
Get full text

CLASSIFICADOR ADAPTATIVO PARA DADOS IMAGEM EM ALTA DIMENSIONALIDADE COM UM CONJUNTO PEQUENO DE AMOSTRAS DE TREINAMENTO by Delnir Monteiro de Lemos, Vitor Haertel

“…Neste trabalho é testado um classificador adaptativo que visa suavizar os efeitos causados por um número insuficiente de amostras de treinamento, fato este que…”
Get full text

Fuzzy based change detection in multitemporal fraction images by Zanotta, Daniel C., Haertel, Victor

“…In this paper, a new concept to change detection in remote sensing multitemporal images is presented. Traditional methods are generally concerned to label…”
Get full text

On the classification of classes with nearly equal spectral response in remote sensing hyperspectral image data by Haertel, V., Langrebe, D.A.

“…It is well known that high-dimensional image data allows for the separation of classes that are spectrally very similar, i.e., possess nearly equal first-order…”
Get full text

Spectral analysis of soils from mafic/ultramafic rocks of Cerro Mantiqueira, south-west of Rio Grande do Sul, Brazil by Saldanha, D. L., Lima E Cunha, M. C., Haertel, V.

“…In remote sensing, information about an object of interest is most frequently derived by analysing the spectral characteristics of the electromagnetic energy…”
Get full text

An adaptive image enhancement algorithm by Silva Centeno, Jorge A., Haertel, Victor

“…Image enhancement is a common procedure intended to process an image so that the resulting processed image is more suitable than the original one for a given…”
Get full text

Residual information to estimate uncertainty and improve the spectral linear mixing model solution by Zanotta, D. C., Haertel, V., Shimabukuro, Y. E., Renno, C. D.

“…This paper proposes an analysis on the residual term resulting from the Linear Spectral Mixing Model (SLMM) solution in order to access model uncertainty. The…”
Get full text

A binary decision tree classifier implementing logistic regression as a feature selection and classification method and its comparison with maximum likelihood by Bittencourt, H.R., de Oliveira Moraes, D.A., Haertel, V.

“…This study deals with two different approaches to the classification of hyperspectral image data using a multiple stage classifier structured as a binary tree…”
Get full text

On the use of ancillary data by applying the concepts of the theory of evidence to remote sensing digital image classification by Lersch, R., Haertel, V., Shimabukuro, Y.R.

“…This study deals with some applications of the concepts developed by the Theory of Evidence, in remote sensing digital image classification. Data from…”
Get full text

Experiments on feature extraction in remotely sensed hyperspectral image data by Zortea, M., Haertel, V.

“…In the present study, we propose a new simple approach to reduce the data dimensionality in hyperspectral image data. The basic assumption here consists in…”
Get full text

Spectral linear mixing model in low spatial resolution image data by Haertel, V., Shimabukuro, Y.E.

“…The aim of this study consists in proposing and testing a methodology to estimate the spectral reflectance of the component classes in the mixed pixel problem,…”
Get full text