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A robust edge detection algorithm based on feature-based image registration (FBIR) using improved canny with fuzzy logic (ICWFL) / Anchal Kumawat in The Visual Computer, vol 38 n° 11 (November 2022)  

Public [article]  inThe Visual Computer > vol 38 n° 11 (November 2022) . - pp 3681 - 3702 Titre : A robust edge detection algorithm based on feature-based image registration (FBIR) using improved canny with fuzzy logic (ICWFL) Type de document : Article/Communication Auteurs : Anchal Kumawat, Auteur ; Sucheta Panda, Auteur Année de publication : 2022 Article en page(s) : pp 3681 - 3702 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] accentuation d'image [Termes IGN] base de données d'images [Termes IGN] détection de contours [Termes IGN] extraction de traits caractéristiques [Termes IGN] filtre de Wiener [Termes IGN] Inférence floue [Termes IGN] logique floue [Termes IGN] méthode robuste [Termes IGN] restauration d'image [Termes IGN] seuillage [Termes IGN] superposition d'images Résumé : (auteur) The problem of edge detection plays a crucial role in almost all research areas of image processing. If edges are detected accurately, one can detect the location of objects and the parameters such as shape and area can be measured more precisely. In order to overcome the above problem, a feature-based image registration (FBIR) method in combination with an improved version of canny with fuzzy logic is proposed for accurate detection of edges. The major contributions of the present work are summarized in three steps. In the first step, a restoration-based enhancement algorithm is proposed to get a fine image from a distorted noisy image. In the second step, two versions of input images are registered using a modified FBIR approach. In the third step, to overcome the drawback of canny edge detection algorithm, each step of the algorithm is modified. The output is then fed to a “fuzzy inference system”. The “fuzzy rule-based technique”, when applied to the problem of “edge detection”, is very “efficient” because the thickness of the edges can be controlled by simply changing “rules and output parameters”. The domain of the images under consideration is various well-known image databases such as Berkeley and USC-SIPI databases, whereas the proposed method is also suitable for other types of both indoor and outdoor images. The robustness of the proposed method is analysed, compared and evaluated with seven image assessment quality (IAQ) parameters. The performance of the proposed method is compared with some of the state-of-the-art edge detection methods in terms of the seven IAQ parameters. Numéro de notice : A2022-839 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s00371-021-02196-1 Date de publication en ligne : 14/07/2021 En ligne : https://doi.org/10.1007/s00371-021-02196-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102041 [article]

Space-wise approach for airborne gravity data modelling / Daniele Sampietro in Journal of geodesy, vol 91 n° 5 (May 2017)  

Public [article]  inJournal of geodesy > vol 91 n° 5 (May 2017) . - pp 535 – 545 Titre : Space-wise approach for airborne gravity data modelling Type de document : Article/Communication Auteurs : Daniele Sampietro, Auteur ; M. Cappon, Auteur ; A. H. Mansi, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 535 – 545 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique [Termes IGN] collocation par moindres carrés [Termes IGN] covariance [Termes IGN] filtre de Wiener [Termes IGN] géoïde gravimétrique [Termes IGN] gravimétrie aérienne [Termes IGN] modèle de géopotentiel Résumé : (auteur) Regional gravity field modelling by means of remove-compute-restore procedure is nowadays widely applied in different contexts: it is the most used technique for regional gravimetric geoid determination, and it is also used in exploration geophysics to predict grids of gravity anomalies (Bouguer, free-air, isostatic, etc.), which are useful to understand and map geological structures in a specific region. Considering this last application, due to the required accuracy and resolution, airborne gravity observations are usually adopted. However, due to the relatively high acquisition velocity, presence of atmospheric turbulence, aircraft vibration, instrumental drift, etc., airborne data are usually contaminated by a very high observation error. For this reason, a proper procedure to filter the raw observations in both the low and high frequencies should be applied to recover valuable information. In this work, a software to filter and grid raw airborne observations is presented: the proposed solution consists in a combination of an along-track Wiener filter and a classical Least Squares Collocation technique. Basically, the proposed procedure is an adaptation to airborne gravimetry of the Space-Wise approach, developed by Politecnico di Milano to process data coming from the ESA satellite mission GOCE. Among the main differences with respect to the satellite application of this approach, there is the fact that, while in processing GOCE data the stochastic characteristics of the observation error can be considered a-priori well known, in airborne gravimetry, due to the complex environment in which the observations are acquired, these characteristics are unknown and should be retrieved from the dataset itself. The presented solution is suited for airborne data analysis in order to be able to quickly filter and grid gravity observations in an easy way. Some innovative theoretical aspects focusing in particular on the theoretical covariance modelling are presented too. In the end, the goodness of the procedure is evaluated by means of a test on real data retrieving the gravitational signal with a predicted accuracy of about 0.4 mGal. Numéro de notice : A2017-227 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-016-0981-y Date de publication en ligne : 18/12/2016 En ligne : https://doi.org/10.1007/s00190-016-0981-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85108 [article]

Signal Processing / Charles L. Byrne (2014)  

Public Titre : Signal Processing : A Mathematical Approach Type de document : Monographie Auteurs : Charles L. Byrne, Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2014 Importance : 397 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-0-429-15871-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal [Termes IGN] détection du signal [Termes IGN] écho radar [Termes IGN] filtre de Wiener [Termes IGN] phase [Termes IGN] probabilités [Termes IGN] propagation du signal [Termes IGN] reconstruction d'image [Termes IGN] série de Fourier [Termes IGN] signal acoustique [Termes IGN] tomographie [Termes IGN] transformation de Fourier [Termes IGN] transformation en ondelettes Résumé : (éditeur) A practical guide to the mathematics behind signal processing, this book provides the essential mathematical background and tools necessary to understand and employ signal processing techniques. Topics addressed include: - Fourier series and transforms in one and several variables, - applications to acoustic and electromagnetic propagation models, - transmission and emission tomography and image reconstruction, - optimization techniques, - high-resolution methods, and more. The emphasis is on the general problem of extracting information from limited data obtained by some form of remote sensing: acoustic or radar processing, satellite imaging, or medical tomographic scanning. Note de contenu : 1- Introduction 2- Fourier Series and Fourier Transforms 3- Remote Sensing 4- Finite-Parameter Models 5- Transmission and Remote Sensing 6- The Fourier Transform and Convolution Filtering 7- Infinite Sequences and Discrete Filters 8- Convolution and the Vector DFT 9- Plane-Wave Propagation 10- The Phase Problem 11- Transmission Tomography 12- Random Sequences 13- Nonlinear Methods 14- Discrete Entropy Maximization 15- Analysis and Synthesis 16- Wavelets 17- The BLUE and the Kalman Filter 18- Signal Detection and Estimation 19- Inner Products 20- Wiener Filtering 21- Matrix Theory 22- Compressed Sensing 23- Probability 24- Using the Wave Equation 25- Reconstruction in Hilbert Space 26- Some Theory of Fourier Analysis 27- Reverberation and Echo Cancellation Numéro de notice : 25846 Affiliation des auteurs : non IGN Thématique : IMAGERIE/MATHEMATIQUE Nature : Monographie En ligne : https://www.taylorfrancis.com/books/9780429158711 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95260

Estimation of mass change trends in the Earth’s system on the basis of GRACE satellite data, with application to Greenland / C. Siemes in Journal of geodesy, vol 87 n° 1 (January 2013)  

Public [article]  inJournal of geodesy > vol 87 n° 1 (January 2013) . - pp 69 - 87 Titre : Estimation of mass change trends in the Earth’s system on the basis of GRACE satellite data, with application to Greenland Type de document : Article/Communication Auteurs : C. Siemes, Auteur ; Pavel Ditmar, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 69 - 87 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique [Termes IGN] bilan de masse [Termes IGN] calotte glaciaire [Termes IGN] champ de pesanteur terrestre [Termes IGN] données GRACE [Termes IGN] filtre de Wiener [Termes IGN] gravimétrie spatiale [Termes IGN] Groenland [Termes IGN] harmonique sphérique [Termes IGN] isostasie [Termes IGN] levé gravimétrique [Termes IGN] matrice de covariance Résumé : (Auteur) The Gravity Recovery and Climate Experiment (GRACE) satellite mission measures the Earth’s gravity field since March 2002. We propose a new filtering procedure for post-processing GRACE-based monthly gravity field solutions provided in the form of spherical harmonic coefficients. The procedure is tuned for the optimal estimation of linear trends and other signal components that show a systematic behavior over long time intervals. The key element of the developed methodology is the statistically optimal Wiener-type filter which makes use of the full covariance matrices of noise and signal. The developed methodology is applied to determine the mass balance of the Greenland ice sheet, both per drainage system and integrated, as well as the mass balance of the ice caps on the islands surrounding Greenland. The estimations are performed for three 2-year time intervals (2003–2004, 2005–2006, and 2007–2008), as well as for the 6-year time interval (2003–2008). The study confirms a significant difference in the behavior of the drainage systems over time. The average 6-year rate of mass loss in Greenland is estimated as 165 + 15 Gt/year. The rate of mass loss of the ice caps on Ellesmere Island (together with Devon Island), Baffin Island, Iceland, and Svalbard is found to be 22 + 4, 21 + 6, 17 + 9, and 6 + 2 Gt/year, respectively. All these estimates are corrected for the effect of glacial isostatic adjustment. Numéro de notice : A2013-071 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-012-0580-5 Date de publication en ligne : 12/07/2012 En ligne : https://doi.org/10.1007/s00190-012-0580-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32209 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
266-2013011	SL	Revue	Centre de documentation	Revues en salle	Disponible

A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage / S. Parrilli in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 606 - 616 Titre : A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage Type de document : Article/Communication Auteurs : S. Parrilli, Auteur ; M. Poderico, Auteur ; C. Angelino, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 606 - 616 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] filtre de déchatoiement [Termes IGN] filtre de Wiener [Termes IGN] image radar moirée [Termes IGN] transformation en ondelettes Résumé : (Auteur) We propose a novel despeckling algorithm for synthetic aperture radar (SAR) images based on the concepts of nonlocal filtering and wavelet-domain shrinkage. It follows the structure of the block-matching 3-D algorithm, recently proposed for additive white Gaussian noise denoising, but modifies its major processing steps in order to take into account the peculiarities of SAR images. A probabilistic similarity measure is used for the block-matching step, while the wavelet shrinkage is developed using an additive signal-dependent noise model and looking for the optimum local linear minimum-mean-square-error estimator in the wavelet domain. The proposed technique compares favorably w.r.t. several state-of-the-art reference techniques, with better results both in terms of signal-to-noise ratio (on simulated speckled images) and of perceived image quality. Numéro de notice : A2012-049 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2161586 Date de publication en ligne : 18/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2161586 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31497 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2012021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Correction du flou de mouvement sur les images prises de nuit par le STEREOPOLIS / Vincent Daval (2012)

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Alternative method for angular rate determination within the GOCE gradiometer processing / C. Stummer in Journal of geodesy, vol 85 n° 9 (September 2011)  

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Regional gravity field modelling with radial basis functions / Tobias Wittwer (2009)  

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Radiometric correction of hemispherical images / A. Kuusk in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)  

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Comparison of different speckle-reduction techniques in SAR images using wavelet transform / A. Vidal-Pantaleoni in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)  

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Analysis of refraction influences in geodesy using image processing and turbulence models / Philipp Flach (2001)  

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Applications de la transformée en ondelettes et de l'analyse multirésolution au traitement des images de télédétection / Thierry Ranchin (1993)

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Filtering of digitally correlated gestalt elevation data / A.L. Kok in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 5 (may 1987)  

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Quality assessment of object location and point transfer using digital image correlation techniques / Wolfgang Förstner (1984)  

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Entwurf digitaler zweidimensionaler nichtrekursiver Filter / Dieter Fritsch (1982)

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