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Polarimetric SAR speckle noise model / C. Lopez-Martinez in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Polarimetric SAR speckle noise model Type de document : Article/Communication Auteurs : C. Lopez-Martinez, Auteur ; X. Fabregas, Auteur Année de publication : 2003 Article en page(s) : pp 2232 - 2242 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] chatoiement
[Termes IGN] filtrage du bruit
[Termes IGN] image radar moirée
[Termes IGN] matrice de covariance
[Termes IGN] polarimétrieRésumé : (Auteur) Synthetic aperture radar (SAR) data are affected by speckle noise, originated by the SAR system's coherent nature. The problem of speckle noise in one-dimensional (1-D) data is already solved, as speckle has a multiplicative characteristic. SAR polarimetry represents an extension to multidimensional data by the use of polarization wave diversity. As a consequence of the existence of a correlation degree between the SAR images, the 1-D speckle noise model cannot be extended to multidimensional SAR data. This paper is devoted to present a completely new speckle noise model for the complex covariance matrix describing polarimetric SAR data in the distributed scatterers case. As will be shown, this new model is able to identify which are the noise mechanisms in all the covariance matrix elements. The speckle noise model is validated by using real L-band polarimetric data acquired with the German E-SAR sensor. Numéro de notice : A2003-351 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815240 En ligne : https://doi.org/10.1109/TGRS.2003.815240 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26431
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2232 - 2242[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible The use of fully polarimetric information for the fuzzy neural classification of SAR images / C.T. Chen in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : The use of fully polarimetric information for the fuzzy neural classification of SAR images Type de document : Article/Communication Auteurs : C.T. Chen, Auteur ; K.S. Chen, Auteur ; Jong-Sen Lee, Auteur Année de publication : 2003 Article en page(s) : pp 2089 - 2100 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification floue
[Termes IGN] classification par réseau neuronal
[Termes IGN] données polarimétriques
[Termes IGN] image AIRSAR
[Termes IGN] matrice de covariance
[Termes IGN] rétrodiffusion
[Termes IGN] utilisation du sol
[Termes IGN] vectorisationRésumé : (Auteur) This paper presents a method, based on a fuzzy neural network, that uses fully polarimetric information for terrain and land-use classification of synthetic aperture radar (SAR) image. The proposed approach makes use of statistical properties of polarimetric data, and takes advantage of a fuzzy neural network. A distance measure, based on a complex Wishart distribution, is applied using the fuzzy c-means clustering algorithm, and the clustering result is then incorporated into the neural network. Instead of preselecting the polarization channels to form a feature vector, all elements of the polarimetric covariance matrix serve as the target feature vector as inputs to the neural network. It is thus expected that the neural network will include fully polarimetric backscattering information for image classification. With the generalization, adaptation, and other capabilities of the neural network, information contained in the covariance matrix, such as the amplitude, the phase difference, the degree of polarization, etc., can be fully explored. A test image, acquired by the Jet Propulsion Laboratory Airborne SAR (AIRSAR) system, is used to demonstrate the advantages of the proposed method. It is shown that the proposed approach can greatly enhance the adaptability and the flexibility giving fully polarimetric SAR for terrain cover classification. The integration of fuzzy c-means (FCM) and fast generalization dynamic learning neural network (DLNN) capabilities makes the proposed algorithm an attractive and alternative method for polarimetric SAR classification. Numéro de notice : A2003-255 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.813494 En ligne : https://doi.org/10.1109/TGRS.2003.813494 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22550
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 2089 - 2100[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible Bayesian soft classification for sub-pixel analysis: a critical evaluation / J. Ronald Eastman in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 11 (November 2002)
[article]
Titre : Bayesian soft classification for sub-pixel analysis: a critical evaluation Type de document : Article/Communication Auteurs : J. Ronald Eastman, Auteur ; R.M. Laney, Auteur Année de publication : 2002 Article en page(s) : pp 1149 - 1154 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] axiome de Bayes
[Termes IGN] classification
[Termes IGN] matrice de covariance
[Termes IGN] occupation du sol
[Termes IGN] pixel
[Termes IGN] probabilitésRésumé : (Auteur) Soft classifiers defer the decision about the class membership of a pixel in favor of an expression of the degree of membership it exhibits in each of the landcover classes under consideration. The reasons for using a soft classifier include the examination of classification uncertainty, but are most commonly directed to the potential of uncovering the proportional constituents of mixed pixelsa process called subpixel classification. In this study we examine the assumptions and procedures of a commonly cited Bayesian softclassification procedure for subpixel classification, and test its ability to uncover mixture proportions. The procedure involves the use of mixedcover training sites to estimate the underlying class signatures through the development of fuzzy mean reflectances and covariance matrices. These are then used to evaluate the Bayesian a posteriori probability of belonging to each landcover class. Using an artificial data set, it was found that this Bayesian softclassification procedure is unable to uncover constituent class proportions unless substantial overlap exists in the distributions of parent classes. It was found that the use of fuzzy training sites improves the accuracy of this procedure, but not because of any special insights it offers into the underlying distributions, but rather, because of its tendency to increase the degree of overlap between parent distributions. Numéro de notice : A2002-246 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/november/2002_nov_1149 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22158
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 11 (November 2002) . - pp 1149 - 1154[article]Anomaly detection and classification for hyperspectral imagery / C.I. Chang in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)
[article]
Titre : Anomaly detection and classification for hyperspectral imagery Type de document : Article/Communication Auteurs : C.I. Chang, Auteur ; S.S. Chiang, Auteur Année de publication : 2002 Article en page(s) : pp 1314 - 1325 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse discriminante
[Termes IGN] capteur multibande
[Termes IGN] classification
[Termes IGN] détection d'erreur
[Termes IGN] image hyperspectrale
[Termes IGN] matrice de covarianceRésumé : (Auteur) Anomaly detection becomes increasingly important in hyperspectral image analysis, since hyperspectral imagers can now uncover many material substances which were previously unresolved by multispectral sensors. Two types of anomaly detection are of interest and considered in this paper. One was previously developed by Reed and Yu to detect targets whose signatures are distinct from their surroundings. Another was designed to detect targets with low probabilities in an unknown image scene. Interestingly, they both operate the same form as does a matched filter. Moreover, they can be implemented in realtime processing, provided that the sample covariance matrix is replaced by the sample correlation matrix. One disadvantage of an anomaly detector is the lack of ability to discriminate the detected targets from another. In order to resolve this problem, the concept of target discrimination measures is introduced to cluster different types of anomalies into separate target classes. By using these class means as target information, the detected anomalies can be further classified. With inclusion of target discrimination in anomaly detection, anomaly classification can be implemented in a threestage process, first by anomaly detection to find potential targets, followed by target discrimination to cluster the detected anomalies into separate target classes, and concluded by a classifier to achieve target classification. Experiments show that anomaly classification performs very differently from anomaly detection. Numéro de notice : A2002-189 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800280 En ligne : https://doi.org/10.1109/TGRS.2002.800280 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22104
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1314 - 1325[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02061 RAB Revue Centre de documentation En réserve L003 Disponible 065-02062 RAB Revue Centre de documentation En réserve L003 Disponible The constrained signal detector / S. Johnson in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)
[article]
Titre : The constrained signal detector Type de document : Article/Communication Auteurs : S. Johnson, Auteur Année de publication : 2002 Article en page(s) : pp 1326 - 1337 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] détecteur
[Termes IGN] distribution de Gauss
[Termes IGN] estimation statistique
[Termes IGN] matrice de covarianceRésumé : (Auteur) The problem of detecting a materialofinterest in a hyperspectral image is considered. Knowledge of the background materials in the image is assumed. It is also assumed that the stochastic noise in the system has a Gaussian distribution with a known covariance matrix. Using these assumptions, along with the requirement that the material abundances in the pixel must sum to one, a filter called the constrained signal detector (CSD) is derived. The CSD is a variation of the generalized likelihood ratio test (GLRT). Where the GLRT uses maximumlikelihood estimates (MLEs) of the noise in the received signal, the CSD uses constrained least squares (CLS) noise estimates. It will be shown that the CSD is actually a scaling of the CLS target abundance estimate which has been derived elsewhere. However, the CSD computes that estimate much more efficiently then existing methods do. It is proved that the CSD outperforms the orthogonal subspace projection (OSP) detector and that the CSD is the optimal detector when there is only one background material present. Numéro de notice : A2002-190 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800434 En ligne : https://doi.org/10.1109/TGRS.2002.800434 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22105
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1326 - 1337[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02061 RAB Revue Centre de documentation En réserve L003 Disponible 065-02062 RAB Revue Centre de documentation En réserve L003 Disponible On the estimation of radar polarization orientation shifts induced by terrain slopes / Jong-Sen Lee in IEEE Transactions on geoscience and remote sensing, vol 40 n° 1 (January 2002)PermalinkTowards an Integrated Global Geodetic Observing System (IGGOS). Quality analysis of some IGS weekly combined solutions with respect to ITRF / Zuheir Altamimi (01/03/2001)PermalinkAnalytical and numerical methods in gravity field modelling of ideal and real masses / Dimitrios Tsoulis (1999)PermalinkStatistical analysis of two 3-D registration and modeling strategies / O. Jokinen in ISPRS Journal of photogrammetry and remote sensing, vol 53 n° 6 (November - December 1998)PermalinkAusgleichung mit singulärer Varianzkovarianzmatrix am Beispiel der geometrischen Deformationsanalyse / G. Nkuite (1998)PermalinkIntegration of satellite data in local geodetic networks / K. Engsager (1998)PermalinkA processing strategy for the application of the GPS in networks / P.J. de Jonge (1998)PermalinkVerwendung und Bewertung von a-priori Information bei potentiell singulären Inversionsproblemen am Beispiel der gravimetrischen Bestimmung von Dichteverteilungen / P.L. Smilde (1998)PermalinkFiltrage du speckle dans les images radar à synthèse d'ouverture polarimétriques et classification supervisée multi-source / Franck Sery (1997)PermalinkTailored numerical solution strategies for the global determination of the Earth's gravity field / W.D. Schuh (1996)Permalink