Search Results - "Benediktsson, Jon A."

Mitral valve annular downsizing forces: Implications for annuloplasty device development by Jensen, Morten O., PhD, Honge, Jesper L., MD, PhD, Benediktsson, Jon A., MS, Siefert, Andrew W., MS, Jensen, Henrik, MD, PhD, Yoganathan, Ajit P., PhD, Snow, Teresa K., PhD, Hasenkam, J. Michael, MD, PhD, DMSc, Nygaard, Hans, DMSc, Nielsen, Sten L., MD, PhD, DMSc

“…Objective Mitral valve repair with annulus downsizing is a popular surgical procedure for functional mitral regurgitation. We investigated the effects of…”
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MTF-deblurring preprocessing for CS and MRA pansharpening methods by Palsson, Frosti, Sveinsson, Johannes R., Ulfarsson, Magnus O., Benediktsson, Jon A.

“…The fusion of low resolution multispectral (MS) images and high resolution panchromatic (PAN) images, i.e., pansharpening, is an important technique in remote…”
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Model based pansharpening method based on TV and MTF deblurring by Palsson, Frosti, Sveinsson, Johannes R., Ulfarsson, Magnus O., Benediktsson, Jon A.

“…In the past two decades, many methods have been proposed to fuse low resolution multispectral (MS) and high resolution panchromatic (Pan) images, i.e.,…”
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Classification using Extended Morphological Attribute Profiles based on different feature extraction techniques by Peeters, Stijn, Marpu, Prashanth R., Benediktsson, Jon A., Dalla Mura, Mauro

“…Extended Morphological Attribute Profiles (EAPs) are extension of Extended Morphological Profiles (EMPs). They are based on the more general Morphological…”
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Classification of multisource and hyperspectral data based on decision fusion by Benediktsson, J.A., Kanellopoulos, I.

“…Multisource classification methods based on neural networks and statistical modeling are considered. For these methods, the individual data sources are at…”
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Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data by Benediktsson, J.A., Swain, P.H., Ersoy, O.K.

“…Neural network learning procedures and statistical classificaiton methods are applied and compared empirically in classification of multisource remote sensing…”
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Hybrid consensus theoretic classification by Benediktsson, J.A., Sveinsson, J.R., Swain, P.H.

“…Hybrid classification methods based on consensus from several data sources are considered. Each data source is at first treated separately and modeled using…”
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Classification and feature extraction of AVIRIS data by Benediktsson, J.A., Sveinsson, J.R., Amason, K.

“…The processing of Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) data is discussed both in terms of feature extraction and classification. The…”
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Extinction profiles: A novel approach for the analysis of remote sensing data by Ghamisi, Pedram, Souza, Roberto, Rittner, Leticia, Benediktsson, Jon A., Lotufo, Roberto, Zhu, Xiao X.

“…This paper presents a novel approach named extinction profiles to model the spatial information of remote sensing images. Then, the output of the extinction…”
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Hyperspectral change detection using IR-MAD and feature reduction by Marpu, Prashanth, Gamba, Paolo, Benediktsson, Jon A.

“…A method for change detection between two hyperspectral datasets is presented. The iteratively reweighted multivariate alteration detection (IR-MAD) method is…”
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Hyperspectral change detection with IR-MAD and initial change mask by Marpu, Prashanth, Gamba, Paolo, Benediktsson, Jon A.

“…An adaptation of the previously published iteratively reweighted multivariate alteration detection (IR-MAD) method is presented in this article in the context…”
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Extended extinction profile for the classification of hyperspectral images by Ghamisi, Pedram, Souza, Roberto, Benediktsson, Jon A., Xiao Xiang Zhu, Rittner, Leticia, Lotufo, Roberto

“…In this paper, a novel approach is proposed for the spectral-spatial classification of hyperspectral images. The proposed classification approach is based on a…”
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Model based PCA/wavelet fusion of multispectral and hyperspectral images by Palsson, Frosti, Sveinsson, Johannes R., Ulfarsson, Magnus O., Benediktsson, Jon A.

“…Due to cost and complexity issues, hyperspectral (HS) images have lower spatial resolution than multispectral (MS) and panchromatic (PAN) images. We present a…”
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Pansharpening via sparsity optimization using overcomplete transforms by Palsson, Frosti, Sveinsson, Johannes R., Ulfarsson, Magnus O., Benediktsson, Jon A.

“…In this paper we consider pansharpening of multispectral satellite imagery based on solving an under-determined inverse problem regularized by the ℓ 1 -norm of…”
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Comparison of ITPCA and IRMAD for automatic change detection using initial change mask by Falco, N., Marpu, P. R., Benediktsson, J. A.

“…In change detection analysis, the computation of the no-change distribution is affected when changed pixels are in large number in the scene. Because of this,…”
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SAR image denoising using total variation based regularization with sure-based optimization of the regularization parameter by Palsson, F., Sveinsson, J. R., Ulfarsson, M. O., Benediktsson, J. A.

“…Images obtained using Synthetic Aperture Radar (SAR) are corrupted by speckle. Speckle noise results from the chaotic interference of backscattered…”
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A new pansharpening method using an explicit image formation model regularized via Total Variation by Palsson, F., Sveinsson, J. R., Ulfarsson, M. O., Benediktsson, J. A.

“…In this paper we present a new method for the pansharpening of multi-spectral satellite imagery. This method is based on a simple explicit image formation…”
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Crater detection based on marked point processes by Troglio, G, Benediktsson, J A, Moser, G, Serpico, S B

“…A novel automatic method is developed for the detection of features in planetary images. Although many automatic feature extraction methods have been proposed…”
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European perspectives in hyperspectral data analysis by Gamba, P., Plaza, A.J., Benediktsson, J.A., Chanussot, J.

“…This paper explains some of the the goals and objectives of the newly started HYPER-I-NET Marie Curie Research and Training Network. In particular, the…”
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Consensus theoretic classification methods by Benediktsson, J.A., Swain, P.H.

“…Consensus theory is adopted as a means of classifying geographic data from multiple sources. The foundations and usefulness of different consensus theoretic…”
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