Prof. Elisabetta Binaghi Profile

Prof. Elisabetta Binaghi

Associate Professor at Univ degli Studi dell'Insubria

SPIE Involvement:

Author

Publications (18)

Proceedings Article | 22 March 2016 Paper

Quantitative evaluation of susceptibility effects caused by dental materials in head magnetic resonance imaging

S. Strocchi, M. Ghielmi, F. Basilico, A. Macchi, R. Novario, R. Ferretti, E. Binaghi

Proceedings Volume 9783, 978357 (2016) https://doi.org/10.1117/12.2206083

KEYWORDS: Magnetic resonance imaging, Head, Image quality, Zirconium dioxide, Dental materials, Image registration, Magnetism, Diffusion, Image processing, Tissues

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Proceedings Article | 24 February 2012 Paper

Glial brain tumor detection by using symmetry analysis

Valentina Pedoia, Elisabetta Binaghi, Sergio Balbi, Alessandro De Benedictis, Emanuele Monti, Renzo Minotto

Proceedings Volume 8314, 831445 (2012) https://doi.org/10.1117/12.910172

KEYWORDS: Tumors, Brain, Image segmentation, Magnetic resonance imaging, Neuroimaging, Medical imaging, Tissues, Optical inspection, Visual analytics, Visualization

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Proceedings Article | 16 March 2011 Paper

fMRI analysis software tools: an evaluation framework

Valentina Pedoia, Vittoria Colli, Sabina Strocchi, Cristina Vite, Elisabetta Binaghi, Leopoldo Conte

Proceedings Volume 7965, 796528 (2011) https://doi.org/10.1117/12.877067

KEYWORDS: Scanning probe microscopy, Functional magnetic resonance imaging, Statistical analysis, Brain, Information operations, Inspection, Nomenclature, Image segmentation, Magnetic resonance imaging, Algorithm development

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Proceedings Article | 29 September 2006 Paper

Neural disparity computation from IKONOS stereo imagery in the presence of occlusions

E. Binaghi, I. Gallo, A. Baraldi, A. Gerhardinger

Proceedings Volume 6365, 63650B (2006) https://doi.org/10.1117/12.688713

KEYWORDS: Earth observing sensors, High resolution satellite images, Remote sensing, 3D modeling, Image resolution, 3D image processing, Data modeling, Neural networks, Image processing, Image analysis

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Proceedings Article | 10 November 2004 Paper

A neural adaptive model for hyperspectral data classification under minimal training conditions

Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti, Pietro Brivio

Proceedings Volume 5573, (2004) https://doi.org/10.1117/12.567950

KEYWORDS: Data modeling, Neurons, Feature selection, Vegetation, Remote sensing, Statistical analysis, Neural networks, Hyperspectral imaging, Performance modeling, Visible radiation

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Proceedings Article | 5 February 2004 Paper

Spectral/spatial data fusion and neural networks for vegetation understory information extraction from hyperspectral airborne images

Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti, Pietro Brivio

Proceedings Volume 5238, (2004) https://doi.org/10.1117/12.517887

KEYWORDS: Remote sensing, Neural networks, Data fusion, Vegetation, Image fusion, Image resolution, Data modeling, Reflectivity, Hyperspectral imaging, Image classification

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Proceedings Article | 13 March 2003 Paper

Integration of scale-space filtering and neural techniques for high-resolution remote sensing image classification

Elisabetta Binaghi, Ignazio Gallo, Monica Pepe

Proceedings Volume 4885, (2003) https://doi.org/10.1117/12.463142

KEYWORDS: Remote sensing, Image classification, Digital filtering, Feature extraction, Image filtering, Object recognition, Neurons, High resolution satellite images, Earth observing sensors, Convolution

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Proceedings Article | 19 January 2001 Paper

Soft thematic mapping from remotely sensed data: production, interpretation, and accuracy assessment

Elisabetta Binaghi

Proceedings Volume 4170, (2001) https://doi.org/10.1117/12.413911

KEYWORDS: Fuzzy logic, Remote sensing, Image classification, Neural networks, Neurons, Matrices, Associative arrays, Visualization, Data modeling, Accuracy assessment

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Proceedings Article | 19 January 2001 Paper

Robust recognition of urban patterns using a two-stage soft-hard neural classification

Elisabetta Binaghi, Pietro Brivio, Ignazio Gallo, Monica Pepe, Anna Rampini

Proceedings Volume 4170, (2001) https://doi.org/10.1117/12.413880

KEYWORDS: Image classification, Roads, Neural networks, Associative arrays, Photography, Spatial resolution, Image filtering, Pattern recognition, Vegetation, Remote sensing

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Proceedings Article | 17 December 1999 Paper

Subpixel estimation of areal extent of snow cover

Alessandra Colombo, Elisabetta Binaghi, Giovanni Lechi, Anna Rampini

Proceedings Volume 3868, (1999) https://doi.org/10.1117/12.373098

KEYWORDS: Fuzzy logic, Image resolution, Neural networks, Image classification, Clouds, Snow cover, Spatial resolution, Image processing, Landsat, Earth observing sensors

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Proceedings Article | 14 December 1999 Paper

Assessing the accuracy of soft thematic maps using fuzzy set-based error matrices

Elisabetta Binaghi, Pietro Brivio, Pier Ghezzi, Anna Rampini

Proceedings Volume 3871, (1999) https://doi.org/10.1117/12.373256

KEYWORDS: Fuzzy logic, Error analysis, Matrices, Remote sensing, Neural networks, Curium, Satellite imaging, Satellites, Image classification, Earth observing sensors

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Proceedings Article | 14 December 1999 Paper

Uncertainty management in neural classifiers of remotely sensed data

Elisabetta Binaghi, Paolo Madella, Ignazio Gallo, Monica Pepe, Anna Rampini

Proceedings Volume 3871, (1999) https://doi.org/10.1117/12.373258

KEYWORDS: Fuzzy logic, Probability theory, Data modeling, Performance modeling, Remote sensing, Chemical elements, Transparency, Digital imaging, Neurons, Neural networks

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Proceedings Article | 4 December 1998 Paper

Neural refinement strategy for a fuzzy Dempster-Shafer classifier of multisource remote sensing images

Elisabetta Binaghi, Paolo Madella, Ignazio Gallo, Anna Rampini

Proceedings Volume 3500, (1998) https://doi.org/10.1117/12.331866

KEYWORDS: Fuzzy logic, Remote sensing, Neural networks, Image classification, RGB color model, Neurons, Landsat, Soil contamination, Chemical elements, Earth observing sensors

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Proceedings Article | 4 December 1998 Paper

Fuzzy neural network model for the estimation of subpixel land cover composition

Elisabetta Binaghi, Pietro Brivio, Pier Ghezzi, Anna Rampini, Massimo Vicenzi

Proceedings Volume 3500, (1998) https://doi.org/10.1117/12.331873

KEYWORDS: Fuzzy logic, Data modeling, Statistical analysis, Error analysis, Neural networks, Vegetation, Distance measurement, Satellites, Matrices, Earth observing sensors

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Proceedings Article | 13 October 1998 Paper

Detailed comparison of neuro-fuzzy estimation of subpixel land-cover composition from remotely sensed data

Andrea Baraldi, Elisabetta Binaghi, Palma Blonda, Pietro Brivio, Anna Rampini

Proceedings Volume 3455, (1998) https://doi.org/10.1117/12.326731

KEYWORDS: Fuzzy logic, Vegetation, Image classification, Data modeling, Statistical analysis, Error analysis, Matrices, Chlorine, Neural networks, Remote sensing

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Proceedings Article | 22 December 1997 Paper

Multistrategy fuzzy learning for multisource remote sensing classifiers

Elisabetta Binaghi, Monica Pepe, F. Radice

Proceedings Volume 3217, (1997) https://doi.org/10.1117/12.295616

KEYWORDS: Fuzzy logic, Remote sensing, Environmental sensing, Associative arrays, Image classification, Satellite imaging, Earth observing sensors, Satellites

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Proceedings Article | 22 December 1997 Paper

Fuzzy hybrid method for the classification of wetlands in the Venice Lagoon

Elisabetta Binaghi, Pietro Brivio, Pier Ghezzi, Anna Rampini, Eugenio Zilioli

Proceedings Volume 3217, (1997) https://doi.org/10.1117/12.295615

KEYWORDS: Fuzzy logic, Ecosystems, Vegetation, Remote sensing, Reliability, Landsat, Photography, Image resolution, Satellite imaging, Earth observing sensors

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SPIE Journal Paper | 1 June 1993

Fuzzy decision making in the classification of multisource remote sensing data

Elisabetta Binaghi, Anna Rampini

OE, Vol. 32, Issue 06, (June 1993) https://doi.org/10.1117/12.10.1117/12.134180

KEYWORDS: Fuzzy logic, Image classification, Remote sensing, Data modeling, Neural networks, Image processing, Library classification systems, Landsat, Roads, Earth observing sensors

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