Prof. Nicola Acito Profile

Prof. Nicola Acito

Assistant Professor at Univ di Pisa

SPIE Involvement:

Editorial Board Member: Journal of Applied Remote Sensing | Author

Publications (26)

Proceedings Article | 17 October 2023 Presentation + Paper

Infrared maritime moving target detection via spatial-multiscale DMD

Osvaldo Pulpito, Giovanni Martella, Nicola Acito, Marco Diani, Giovanni Corsini, Raffaele Grasso, Gabriele Ferri, Kevin LePage

Proceedings Volume 12742, 127420B (2023) https://doi.org/10.1117/12.2680239

KEYWORDS: Target detection, Video, Detection and tracking algorithms, Object detection, Infrared radiation, Modal decomposition, Infrared detectors, Infrared sensors

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Proceedings Article | 2 November 2022 Paper

Infrared saliency enhancement techniques for extended naval target detection in open sea scenario

Osvaldo Pulpito, Nicola Acito, Marco Diani, Sergio Ugo De Ceglie, Giovanni Corsini

Proceedings Volume 12272, 1227204 (2022) https://doi.org/10.1117/12.2636135

KEYWORDS: Infrared imaging, Target detection, Long wavelength infrared, Mid-IR, Medium wave, Detection and tracking algorithms, Sensors, Infrared sensors, Linear filtering, Visualization

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Proceedings Article | 4 October 2017 Presentation + Paper

A theoretical Gaussian framework for anomalous change detection in hyperspectral images

Nicola Acito, Marco Diani, Giovanni Corsini

Proceedings Volume 10427, 104270D (2017) https://doi.org/10.1117/12.2278225

KEYWORDS: Hyperspectral imaging, Image processing, Sensors, Remote sensing, Surveillance, Defense and security

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Proceedings Article | 23 October 2014 Paper

Hyperspectral anomalous change detection in the presence of non-stationary atmospheric/illumination conditions

Nicola Acito, Marco Diani, Alessandro Rossi, Sergio Ugo de Ceglie

Proceedings Volume 9244, 92440Z (2014) https://doi.org/10.1117/12.2067314

KEYWORDS: Detection and tracking algorithms, Statistical analysis, Sensors, Target detection, RGB color model, Atmospheric sensing, Image processing, Hyperspectral imaging, Feature extraction, Defense and security

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Proceedings Article | 13 October 2014 Paper

Subspace based non-parametric approach for hyperspectral anomaly detection in complex scenarios

Stefania Matteoli, Nicola Acito, Marco Diani, Giovanni Corsini

Proceedings Volume 9244, 92440X (2014) https://doi.org/10.1117/12.2067351

KEYWORDS: Sensors, Signal to noise ratio, Hyperspectral imaging, Data modeling, Interference (communication), Detection and tracking algorithms, Target detection, Data analysis, Signal detection, Statistical analysis

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Proceedings Article | 13 October 2014 Paper

Combining spectral matching and anomalous change detection for target rediscovery in hyperspectral images

Alessandro Rossi, Nicola Acito, Marco Diani, Giovanni Corsini

Proceedings Volume 9250, 92500W (2014) https://doi.org/10.1117/12.2067322

KEYWORDS: Target detection, Hyperspectral target detection, Sensors, RGB color model, Hyperspectral imaging, Short wave infrared radiation, Detection and tracking algorithms, Target acquisition, Spectral resolution, Signal to noise ratio

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Proceedings Article | 13 October 2014 Paper

Hyperspectral data collection for the assessment of target detection algorithms: the Viareggio 2013 trial

Alessandro Rossi, Nicola Acito, Marco Diani, Giovanni Corsini, Sergio Ugo De Ceglie, Aldo Riccobono, Leandro Chiarantini

Proceedings Volume 9250, 92500V (2014) https://doi.org/10.1117/12.2067313

KEYWORDS: Detection and tracking algorithms, Target detection, Sensors, Reflectivity, Calibration, Cameras, Short wave infrared radiation, Interference (communication), Hyperspectral imaging, RGB color model

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Proceedings Article | 11 June 2013 Paper

Development of a panoramic third generation IRST: initial study and experimental work

Gianni Barani, Monica Olivieri, Cristian Luison, Alessandro Rossi, Marco Diani, Nicola Acito

Proceedings Volume 8704, 87040J (2013) https://doi.org/10.1117/12.2015696

KEYWORDS: Sensors, Infrared search and track, Signal to noise ratio, Image registration, Panoramic photography, Mid-IR, Head, Atmospheric optics, Staring arrays, Target detection

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Proceedings Article | 31 May 2013 Paper

A comparative analysis of dynamic range compression techniques in IR images for maritime applications

Alessandro Rossi, Nicola Acito, Marco Diani, Cristian Luison, Monica Olivieri, Gianni Barani

Proceedings Volume 8713, 87130O (2013) https://doi.org/10.1117/12.2015721

KEYWORDS: Infrared imaging, High dynamic range imaging, Thermography, Visualization, Image processing, Infrared cameras, Image contrast enhancement, Image compression, Cameras, Surveillance

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SPIE Journal Paper | 23 May 2013

Dynamic range reduction and contrast adjustment of infrared images in surveillance scenarios

Alessandro Rossi, Nicola Acito, Marco Diani, Giovanni Corsini

OE, Vol. 52, Issue 10, 102002, (May 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.10.102002

KEYWORDS: Infrared imaging, Thermography, Visualization, Infrared radiation, High dynamic range imaging, Image processing, Surveillance, Visibility, Infrared cameras, Optical engineering

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SPIE Journal Paper | 12 March 2013

Robust technique for anomalous change detection in airborne hyperspectral imagery based on automatic and adaptive band selection

Nicola Acito, Salvatore Resta, Marco Diani, Giovanni Corsini

OE, Vol. 52, Issue 03, 036202, (March 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.3.036202

KEYWORDS: Interference (communication), Signal to noise ratio, Detection and tracking algorithms, RGB color model, Optical engineering, Sensors, Hyperspectral imaging, Cameras, Data modeling, Signal detection

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Proceedings Article | 21 November 2012 Paper

Unsupervised change detection in very high spatial resolution COSMO-Skymed SAR images

Nicola Acito, Salvatore Resta, Marco Diani, Giovanni Corsini, Alessandro Rossi

Proceedings Volume 8536, 853602 (2012) https://doi.org/10.1117/12.974663

KEYWORDS: Synthetic aperture radar, Detection and tracking algorithms, Spatial resolution, Statistical analysis, Image processing, Algorithm development, Critical dimension metrology, Image analysis, Image resolution, Optical inspection

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Proceedings Article | 19 November 2012 Paper

A novel technique for adaptive anomalous change detection in airborne hyperspectral imagery

Marco Diani, Salvatore Resta, Nicola Acito, Giovanni Corsini, Sergio de Ceglie

Proceedings Volume 8542, 854220 (2012) https://doi.org/10.1117/12.974628

KEYWORDS: Signal to noise ratio, RGB color model, Hyperspectral imaging, Cameras, Interference (communication), Particle filters, Distance measurement, Target detection, Image registration, Electro optical modeling

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Proceedings Article | 8 November 2012 Paper

Unsupervised mis-registration noise estimation in multi-temporal hyperspectral images

Salvatore Resta, Nicola Acito, Marco Diani, Giovanni Corsini

Proceedings Volume 8537, 85370Q (2012) https://doi.org/10.1117/12.974216

KEYWORDS: Statistical analysis, Hyperspectral imaging, Sensors, Error analysis, Detection and tracking algorithms, Bismuth, Data modeling, RGB color model, Digital filtering, Spatial resolution

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Proceedings Article | 8 November 2012 Paper

Computationally efficient strategies to perform anomaly detection in hyperspectral images

Alessandro Rossi, Nicola Acito, Marco Diani, Giovanni Corsini

Proceedings Volume 8537, 85370H (2012) https://doi.org/10.1117/12.973686

KEYWORDS: Detection and tracking algorithms, Hyperspectral imaging, Sensors, Algorithm development, Seaborgium, Target detection, Systems modeling, Data acquisition, Remote sensing, Mathematical modeling

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Proceedings Article | 24 October 2012 Paper

High dynamic range compression for visualization of IR images in maritime scenarios

Alessandro Rossi, Nicola Acito, Marco Diani, Giovanni Corsini

Proceedings Volume 8541, 85410V (2012) https://doi.org/10.1117/12.971443

KEYWORDS: Infrared imaging, Visualization, High dynamic range imaging, Infrared cameras, Cameras, Thermography, Image compression, Visual compression, Infrared radiation, Visibility

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Modern InfraRed (IR) cameras have High Dynamic Range (HDR) and excellent sensitivity. They collect images using a number of bits much higher than the 8-bits used in displays or than those effectively perceived by the human visual system. In IR imagery, suitable techniques to display HDR images are therefore required in order to improve the visibility of the details while preserving the global perception of the scene. Visualization of HDR images has already been widely studied for visible-light images. In the IR framework only a few works have been proposed which tightly depend on the operating scenario and on the application of interest. In most cases such works have been obtained by modifications of methods proposed for visible light images rather than by developing visualization techniques taking into account the specific mechanism of IR image formation. In the literature, the techniques developed to display HDR images are mainly based on two approaches: contrast enhancement (CE)-oriented techniques and dynamic range compression (DRC)-oriented techniques. The former operate on image contrast to increase the perceptibility of details. The latter reduce the signal dynamic thus attenuating the large-scale intensity changes that do not contain relevant information. In addition, some of the proposed methods for HDR take advantage of both the approaches. In this work, a DRC approach is considered for visualization of HDR-IR images of maritime scenarios. A new method is presented that exploits clustering information and maps the output image according to the information content of each cluster by means of a suitable weighting function. The effectiveness of the presented technique is analyzed using IR images of a maritime scenario acquired in two different case studies. Moreover, the output images obtained with the proposed method are compared with those given by techniques previously proposed for visualization of IR images. The results show the effectiveness of the proposed technique in terms of details enhancement, robustness against the horizon effect and presence of very warm objects.

SPIE Journal Paper | 13 June 2012

Residual misregistration noise estimation in hyperspectral anomalous change detection

Nicola Acito, Salvatore Resta, Marco Diani, Giovanni Corsini

OE, Vol. 51, Issue 11, 111705, (June 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.11.111705

KEYWORDS: Error analysis, Sensors, Statistical analysis, Optical engineering, Detection and tracking algorithms, Image analysis, RGB color model, Hyperspectral imaging, Spatial resolution, Target detection

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SPIE Journal Paper | 1 October 2011

Optimal criterion to select the background estimation algorithm for detection of dim point targets in infrared surveillance systems

Nicola Acito, Alessandro Rossi, Marco Diani, Giovanni Corsini

OE, Vol. 50, Issue 10, 107204, (October 2011) https://doi.org/10.1117/12.10.1117/1.3640822

KEYWORDS: Target detection, Digital filtering, Detection and tracking algorithms, Infrared imaging, Infrared detectors, Nonlinear filtering, Infrared radiation, Optical filters, Image processing, Optical engineering

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Proceedings Article | 26 May 2011 Paper

Experimental analysis of adaptive clutter removal techniques in IR target detection systems

Alessandro Rossi, Nicola Acito, Marco Diani, Giovanni Corsini

Proceedings Volume 8020, 80200J (2011) https://doi.org/10.1117/12.886910

KEYWORDS: Target detection, Infrared imaging, Digital filtering, Nonlinear filtering, Detection and tracking algorithms, Signal processing, Image processing, Infrared detectors, Infrared detection, Optical filters

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Proceedings Article | 1 October 2009 Paper

Effective approaches to in-flight hyperspectral target detection for surveillance applications

Nicola Acito, Giovanni Corsini, Marco Diani, Stefania Matteoli

Proceedings Volume 7482, 74820C (2009) https://doi.org/10.1117/12.830423

KEYWORDS: Target detection, Atmospheric modeling, Sensors, Reflectivity, Atmospheric physics, Atmospheric sensing, Hyperspectral target detection, Surveillance, Data acquisition, Detection and tracking algorithms

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Proceedings Article | 5 October 2006 Paper

Decision fusion strategy for target recognition in hyperspectral images

N. Acito, M. Greco, M. Diani, G. Corsini

Proceedings Volume 6394, 63940K (2006) https://doi.org/10.1117/12.690149

KEYWORDS: Sensors, Detection and tracking algorithms, Target detection, Target recognition, Image fusion, Fusion energy, Buildings, Image filtering, Hyperspectral imaging, Image processing

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Proceedings Article | 19 October 2005 Paper

Gaussian mixture model based approach to anomaly detection in multi/hyperspectral images

N. Acito, M. Diani, G. Corsini

Proceedings Volume 5982, 59820O (2005) https://doi.org/10.1117/12.627691

KEYWORDS: Sensors, Detection and tracking algorithms, Expectation maximization algorithms, Target detection, Scanning electron microscopy, Image processing, Algorithm development, Statistical analysis, Receivers, Signal processing

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Proceedings Article | 19 October 2005 Paper

Adaptive sub-pixel target detection in hyperspectral images based on the stochastic mixing model

M. Greco, N. Acito, G. Corsini, M. Diani

Proceedings Volume 5982, 598216 (2005) https://doi.org/10.1117/12.627690

KEYWORDS: Sensors, Target detection, Hyperspectral target detection, Hyperspectral imaging, Statistical analysis, Stochastic processes, Statistical modeling, Data acquisition, Detection and tracking algorithms, Defense technologies

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SPIE Journal Paper | 1 October 2005

Comparative analysis of clutter removal techniques over experimental IR images

Nicola Acito, Giovanni Corsini, Marco Diani, G. Pennucci

OE, Vol. 44, Issue 10, 106401, (October 2005) https://doi.org/10.1117/12.10.1117/1.2113147

KEYWORDS: Digital filtering, Nonlinear filtering, Target detection, Infrared imaging, Linear filtering, Detection and tracking algorithms, Optical filters, Image filtering, Optical engineering, Electronic filtering

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Proceedings Article | 10 November 2004 Paper

Experimental performance analysis of hyperspectral anomaly detectors

Nicola Acito, Giovanni Corsini, Marco Diani, Andrea Cini

Proceedings Volume 5573, (2004) https://doi.org/10.1117/12.565858

KEYWORDS: Sensors, Detection and tracking algorithms, Target detection, Statistical analysis, Signal to noise ratio, Algorithm development, Expectation maximization algorithms, Data acquisition, Image processing, Spatial resolution

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Proceedings Article | 13 March 2003 Paper

New background clutter subspace basis selection criterion for clutter cancellation in infrared naval surveillance systems

Marco Diani, N. Acito, Giovanni Corsini

Proceedings Volume 4885, (2003) https://doi.org/10.1117/12.463188

KEYWORDS: Target detection, Infrared imaging, Surveillance systems, Sensors, Signal processing, Interference (communication), Calibration, Infrared radiation, Infrared sensors, Point spread functions

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Showing 5 of 26 publications

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