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[n° ou bulletin]
est un bulletin de IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) (1986 -) ![]()
[n° ou bulletin]
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Exemplaires(1)
Code-barres | Cote | Support | Localisation | Section | Disponibilité |
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065-2012021 | RAB | Revue | Centre de documentation | En réserve L003 | Disponible |
Dépouillements


Markov Chain CFAR detection for polarimetric data using data fusion / C. Fei in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
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[article]
Titre : Markov Chain CFAR detection for polarimetric data using data fusion Type de document : Article/Communication Auteurs : C. Fei, Auteur ; T. Liu, Auteur ; G. Lampropoulos, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 397 - 408 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] chaîne de Markov
[Termes IGN] données polarimétriques
[Termes IGN] fusion d'images
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] polarimétrie radarRésumé : (Auteur) This paper proposes a new Markov-chain-based constant false alarm rate (CFAR) detector for polarimetric data using low-level data fusion and high-level decision fusion. The Markov-chain-based CFAR detector extends traditional probability density function (pdf) based CFAR detection to first-order Markov chain model by considering both correlation between neighboring pixels and pdf information in CFAR detection. With the additional correlation information, the proposed approach results in advancing the performance of conventional CFAR detectors. Moreover, to take advantage of full polarizations of polarimetric data, various data fusion methods are considered to improve detection performance, including polarimetric transformation, principal component analysis, and decision fusion. Our experimental results confirm the superiority of the new Markov chain polarimetric CFAR detector over conventional pdf-based CFAR detectors. Numéro de notice : A2012-044 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2164257 Date de publication en ligne : 15/09/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2164257 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31492
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 397 - 408[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of ray-tracing packages for troposphere delays / V. Nafisi in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
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[article]
Titre : Comparison of ray-tracing packages for troposphere delays Type de document : Article/Communication Auteurs : V. Nafisi, Auteur ; L. Urquhart, Auteur ; M.C. Santos, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 469 - 481 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] erreur systématique
[Termes IGN] lancer de rayons
[Termes IGN] modèle atmosphérique
[Termes IGN] propagation troposphérique
[Termes IGN] réfraction atmosphériqueRésumé : (Auteur) A comparison campaign to evaluate and compare troposphere delays from different ray-tracing software was carried out under the umbrella of the International Association of Geodesy Working Group 4.3.3 in the first half of 2010 with five institutions participating: the GFZ German Research Centre for Geosciences (GFZ), the Groupe de Recherche de Geodesie Spatiale, the National Institute of Information and Communications Technology (NICT), the University of New Brunswick, and the Institute of Geodesy and Geophysics of the Vienna University of Technology. High-resolution data from the operational analysis of the European Centre for Medium-Range Weather Forecasts (ECMWF) for stations Tsukuba (Japan) and Wettzell (Germany) were provided to the participants of the comparison campaign. The data consisted of geopotential differences with respect to mean sea level, temperature, and specific humidity, all at isobaric levels. Additionally, information about the geoid undulations was provided, and the participants computed the ray-traced total delays for 5° elevation angle and every degree in azimuth. In general, we find good agreement between the ray-traced slant factors from the different solutions at 5° elevation if determined from the same pressure level data of the ECMWF. Standard deviations and biases are at the 1-cm level (or significantly better for some combinations). Some of these discrepancies are due to differences in the algorithms and the interpolation approaches. If compared with slant factors determined from ECMWF native model level data, the biases can be significantly larger. Numéro de notice : A2012-045 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2160952 Date de publication en ligne : 12/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2160952 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31493
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 469 - 481[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 Disponible A simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration / Z. Liu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
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[article]
Titre : A simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration Type de document : Article/Communication Auteurs : Z. Liu, Auteur ; J. An, Auteur ; Y. Jing, Auteur Année de publication : 2012 Article en page(s) : pp 514 - 527 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] appariement de graphes
[Termes IGN] appariement de points
[Termes IGN] image aérienne
[Termes IGN] image optique
[Termes IGN] image radar moirée
[Termes IGN] programmation par contraintes
[Termes IGN] superposition d'images
[Termes IGN] valeur aberranteRésumé : (Auteur) Accurate point matching is a critical and challenging process in feature-based image registration. In this paper, a simple and robust feature point matching algorithm, called Restricted Spatial Order Constraints (RSOC), is proposed to remove outliers for registering aerial images with monotonous backgrounds, similar patterns, low overlapping areas, and large affine transformation. In RSOC, both local structure and global information are considered. Based on adjacent spatial order, an affine invariant descriptor is defined, and point matching is formulated as an optimization problem. A graph matching method is used to solve it and yields two matched graphs with a minimum global transformation error. In order to eliminate dubious matches, a filtering strategy is designed. The strategy integrates two-way spatial order constraints and two decision criteria restrictions, i.e., the stability and accuracy of transformation error. Twenty-nine pairs of optical and Synthetic Aperture Radar (SAR) aerial images are utilized to evaluate the performance. Compared with RANdom SAmple Consensus (RANSAC), Graph Transformation Matching (GTM), and Spatial Order Constraints (SOC), RSOC obtained the highest precision and stability. Numéro de notice : A2012-046 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2160645 Date de publication en ligne : 04/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2160645 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31494
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 514 - 527[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion / N. Yokoya in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
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Titre : Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion Type de document : Article/Communication Auteurs : N. Yokoya, Auteur ; T. Yairi, Auteur ; A. Iwasaki, Auteur Année de publication : 2012 Article en page(s) : pp 528 - 537 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] fusion d'images
[Termes IGN] image hyperspectrale
[Termes IGN] image multibande
[Termes IGN] matriceRésumé : (Auteur) Coupled nonnegative matrix factorization (CNMF) unmixing is proposed for the fusion of low-spatial-resolution hyperspectral and high-spatial-resolution multispectral data to produce fused data with high spatial and spectral resolutions. Both hyperspectral and multispectral data are alternately unmixed into end member and abundance matrices by the CNMF algorithm based on a linear spectral mixture model. Sensor observation models that relate the two data are built into the initialization matrix of each NMF unmixing procedure. This algorithm is physically straightforward and easy to implement owing to its simple update rules. Simulations with various image data sets demonstrate that the CNMF algorithm can produce high-quality fused data both in terms of spatial and spectral domains, which contributes to the accurate identification and classification of materials observed at a high spatial resolution. Numéro de notice : A2012-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2161320 Date de publication en ligne : 12/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2161320 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31495
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 528 - 537[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Filtering and segmentation of polarimetric SAR data based on binary partition trees / A. Alonso-Gonzalez in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
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[article]
Titre : Filtering and segmentation of polarimetric SAR data based on binary partition trees Type de document : Article/Communication Auteurs : A. Alonso-Gonzalez, Auteur ; C. Lopez-Martinez, Auteur ; P. Salembier, Auteur Année de publication : 2012 Article en page(s) : pp 593 - 605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] arbre-B
[Termes IGN] données polarimétriques
[Termes IGN] filtre de déchatoiement
[Termes IGN] polarimétrie radar
[Termes IGN] segmentation d'imageRésumé : (Auteur) In this paper, we propose the use of binary partition trees (BPT) to introduce a novel region-based and multi-scale polarimetric SAR (PolSAR) data representation. The BPT structure represents homogeneous regions in the data at different detail levels. The construction process of the BPT is based, firstly, on a region model able to represent the homogeneous areas, and, secondly, on a dissimilarity measure in order to identify similar areas and define the merging sequence. Depending on the final application, a BPT pruning strategy needs to be introduced. In this paper, we focus on the application of BPT PolSAR data representation for speckle noise filtering and data segmentation on the basis of the Gaussian hypothesis, where the average covariance or coherency matrices are considered as a region model. We introduce and quantitatively analyze different dissimilarity measures. In this case, and with the objective to be sensitive to the complete polarimetric information under the Gaussian hypothesis, dissimilarity measures considering the complete covariance or coherency matrices are employed. When confronted to PolSAR speckle filtering, two pruning strategies are detailed and evaluated. As presented, the BPT PolSAR speckle filter defined filters data according to the complete polarimetric information. As shown, this novel filtering approach is able to achieve very strong filtering while preserving the spatial resolution and the polarimetric information. Finally, the BPT representation structure is employed for high spatial resolution image segmentation applied to coastline detection. The analyses detailed in this work are based on simulated, as well as on real PolSAR data acquired by the ESAR system of DLR and the RADARSAT-2 system. Numéro de notice : A2012-048 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2160647 Date de publication en ligne : 04/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2160647 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31496
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 593 - 605[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 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)
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[article]
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 ondelettesRésumé : (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
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 606 - 616[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Automatic stem mapping using single-scan terrestrial laser scanning / X. Liang in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
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Titre : Automatic stem mapping using single-scan terrestrial laser scanning Type de document : Article/Communication Auteurs : X. Liang, Auteur ; P. Litkey, Auteur ; Juha Hyyppä, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 661 - 670 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] forêt
[Termes IGN] Pinophyta
[Termes IGN] télémétrie laser terrestre
[Termes IGN] troncRésumé : (Auteur) The demand for detailed ground reference data in quantitative forest inventories is growing rapidly, e.g., to improve the calibration of the developed models of airborne-laser-scanning-based inventories. The application of terrestrial laser scanning (TLS) in the forest has shown great potential for improving the accuracy and efficiency of field data collection. This paper presents a fully automatic stem-mapping algorithm using single-scan TLS data for collecting individual tree information from forest plots. In this method, the stem points are identified by the spatial distribution properties of the laser points, the stem model is built up of a series of cylinders, and the location of the stem is estimated by the model. The experiment was performed on nine plots with 10-m radius. The stem-location maps measured in the field by traditional methods were used as the ground truth. The overall stem-mapping accuracy was 73%. The result shows that, in a relatively dense managed forest, the majority of stems can be located by the automatic algorithm. The proposed method is a general solution for stem locating where particular plot knowledge and data format are not required. Numéro de notice : A2012-050 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2161613 Date de publication en ligne : 18/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2161613 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31498
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 661 - 670[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 Disponible