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Statistical and operational performance assessment of multitemporal SAR image filtering / Emmanuel Trouvé in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)
[article]
Titre : Statistical and operational performance assessment of multitemporal SAR image filtering Type de document : Article/Communication Auteurs : Emmanuel Trouvé, Auteur ; Y. Chambenoit, Auteur ; N. Classeau, Auteur ; Philippe Bolon, Auteur Année de publication : 2003 Article en page(s) : pp 2519 - 2530 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] filtrage du bruit
[Termes IGN] filtre de déchatoiement
[Termes IGN] image ERS-SAR
[Termes IGN] image multitemporelle
[Termes IGN] test de performanceRésumé : (Auteur) Multitemporal synthetic aperture radar (SAR) image filtering is a useful pre-processing step for many applications that require speckle reduction. Several multitemporal filters are now available with very different characteristics. In this paper, the performance of three multitemporal filters is assessed with respect to statistical and operational criteria. Statistical criteria include measures of bias, noise reduction, and preservation of both spatial and temporal information. Operational criteria evaluate the accuracy of manual detection of geographical features such as points, lines and surfaces. This study was carried out with the help of ten photo-interpreters. It uses a set of seven multitemporal SAR images from the European Remote Sensing 1 (ERS-1) satellite. It provide guidelines to select multitemporal filters according to the application and the subsequent processing. Numéro de notice : A2003-320 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.817270 En ligne : https://doi.org/10.1109/TGRS.2003.817270 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22616
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 11 (November 2003) . - pp 2519 - 2530[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03111 RAB Revue Centre de documentation En réserve L003 Disponible A Markov random field-based approach to decision-level fusion for remote sensing image classification / Ryuei Nishii in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : A Markov random field-based approach to decision-level fusion for remote sensing image classification Type de document : Article/Communication Auteurs : Ryuei Nishii, Auteur Année de publication : 2003 Article en page(s) : pp 2316 - 2319 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification dirigée
[Termes IGN] fusion d'images
[Termes IGN] fusion de données
[Termes IGN] segmentation d'image
[Termes IGN] test de performanceRésumé : (Auteur) A method is proposed for the enhancement of the quality of a classification result by fusing this result with remote sensing images, based on a Markov random field approach. The classification accuracy is estimated by a modified posterior probability, which is used for choosing the optimal classification result. The procedure is applied to a benchmark dataset for discrimination provided by the IEEE Geoscience and Remote Sensing Society Data Fusion Committee, and it shows an excellent performance. The classified result won the competition of the data fusion contest 2001 held by the same committee. Numéro de notice : A2003-354 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.816648 En ligne : https://doi.org/10.1109/TGRS.2003.816648 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26434
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2316 - 2319[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible Multitemporal/multiband SAR classification of urban areas using spatial analysis: statistical versus neural kernel-based approach / T. Macri Pellizzei in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Multitemporal/multiband SAR classification of urban areas using spatial analysis: statistical versus neural kernel-based approach Type de document : Article/Communication Auteurs : T. Macri Pellizzei, Auteur ; Paolo Gamba, Auteur ; P. Lombardo, Auteur ; F. Dell'acqua, Auteur Année de publication : 2003 Article en page(s) : pp 2338 - 2353 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] classification dirigée
[Termes IGN] classification floue
[Termes IGN] classification par réseau neuronal
[Termes IGN] image radar moirée
[Termes IGN] image SIR-C
[Termes IGN] milieu urbain
[Termes IGN] réalité de terrain
[Termes IGN] segmentation d'image
[Termes IGN] test de performanceRésumé : (Auteur) In this paper, we derive two techniques for the classification of Multifrequency/multitemporal polarimetric SAR images, based respectively on a statistical and on a neural approach. Both techniques are especially designed to exploit the spatial structure of the observed scene, thus allowing more stable classification results. Such techniques are useful when looking at medium - to - scale features, like the boundaries between urban and non-urban areas. They are applied to a set of SIR-C images of a urban area, to test their effectiveness in the identification of the different classes that compose the observed scene. A lower and an upper bound to the classification performance are introduced to characterise their limits. They correspond respectively to pixel-by-pixel classification and to the joint classification of the pixels belonging to the different classes identified in the ground truth. The results achieved with the two approaches are quantitatively analysed by comparing them to the ground truth. Moreover, a hybrid approach is presented, where the homogeneous regions identified through statistical segmentation are classified using a neuro-fuzzy technique. Finally, a quantitative analysis of the results achieved with all the proposed techniques is carried out, showing that their classification performance is much higher than the lower bound and reasonably close to the upper bound. This is a consequence of their effectiveness in the exploitation of the spatial information. Numéro de notice : A2003-356 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.818762 En ligne : https://doi.org/10.1109/TGRS.2003.818762 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26436
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2338 - 2353[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible Quantitative assessment of a haze suppression methodology for satellite imagery: effect on land cover classification performance / Y. Zhang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 5 (May 2003)
[article]
Titre : Quantitative assessment of a haze suppression methodology for satellite imagery: effect on land cover classification performance Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; B. Guindon, Auteur Année de publication : 2003 Article en page(s) : pp 1082 - 1089 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] cartographie topographique
[Termes IGN] classification
[Termes IGN] estimation statistique
[Termes IGN] fumée
[Termes IGN] image Landsat-TM
[Termes IGN] précision radiométrique
[Termes IGN] recherche d'information
[Termes IGN] représentation multiple
[Termes IGN] test de performanceRésumé : (Auteur) A number of haze removal methods for, satellite imagery have been described in the literature, but few papers have quantified their effectiveness within the context of a postprocessing applications scenario. In this, paper, the haze optimized transform (HOT) approach for visibleband correction is described, and its impact on classification performance is evaluated. Assessment is conducted at three levels: radiometric level of accuracy, improvement in interclass separability, and classification accuracy. Results obtained from hazy scenes and their dehazed, counterparts are compared with those from reference or "benchmark" clear scenes. Radiometric analyses of pseudoinvariant features (dense forest stands) indicate that effective haze reduction can be realized for differential HOT response levels of up to 20 for Landsat Thematic Mapper scenes. This level of atmospheric contamination is severe enough, to result in significant thematic class confusion, wherein visibleband radiances of vegetated areas are at levels normally associated with urban features under clear sky conditions. Numéro de notice : A2003-207 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.811817 En ligne : https://doi.org/10.1109/TGRS.2003.811817 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22503
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 5 (May 2003) . - pp 1082 - 1089[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03051 RAB Revue Centre de documentation En réserve L003 Disponible Comparing texture analysis methods through classification / P. Maillard in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 4 (April 2003)
[article]
Titre : Comparing texture analysis methods through classification Type de document : Article/Communication Auteurs : P. Maillard, Auteur Année de publication : 2003 Article en page(s) : pp 357 - 367 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] analyse texturale
[Termes IGN] classification
[Termes IGN] niveau de gris (image)
[Termes IGN] test de performance
[Termes IGN] texture d'image
[Termes IGN] transformation de Fourier
[Termes IGN] variogrammeRésumé : (Auteur) The development and testing of two techniques of texture analysis based on different mathematical tools : the semivariogram and the Fourier spectra, are presented. These are also compared against a benchmark approach : the GrayLevel Cooccurrence Matrix. The three methods and their implementation are briefly described. Three series of experiments have been prepared to test the performance of these methods in various classification contexts. These contexts are simulated by vaiying the number, type and visual likeness of the texture patches used in classification tests. More specifically, their ability to correctly classify, separate, and associate texture patches is assessed. Results suggest that the classification context has an important impact on performance rates of all methods. The variogram-based and the GrayTone Dependency Matrix methods were generally superior, each one in particular contexts. Numéro de notice : A2003-111 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.4.357 En ligne : https://doi.org/10.14358/PERS.69.4.357 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22407
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 4 (April 2003) . - pp 357 - 367[article]Automatic generalisation project / Anne Ruas (2000)PermalinkPhotogrammetric capabilities of the kodak DC40, DCS420 and DCS460 digital cameras / A. Ahmad in Photogrammetric record, vol 16 n° 94 (October 1999 - March 2000)PermalinkUrban mapping with low-cost DPWs and semi-analytical plotters: performance comparison between analogue and digital technologies / Mathias Lemmens in GIM international, vol 13 n° 1 (January 1999)PermalinkAppariement géométrique de surfaces / François Vauglin in Bulletin d'information de l'Institut géographique national, n° 69 (octobre 1998)PermalinkEtude des effets d'une ligne à haute tension de 735 kv sur le positionnement GPS / Yves Thériault in Geomatica, vol 51 n° 3 (September 1997)PermalinkSpécification d'un benchmark spatial / V. Oria in Revue internationale de géomatique, vol 7 n° 2 (juin – août 1997)PermalinkLow-cost GPS systems for intermediate surveying and mapping accuracy applications / M.D. Subari (1997)PermalinkEntwicklung und Erprobung eines Positionierungssystems für den lokalen Anwendungsbereich / C. Ziegler (1996)PermalinkGPS cinématique temps réel Géotracer 2200 : essai Sessyl de novembre 1995, 1. Rapport / D. Betaille (1996)PermalinkGPS cinématique temps réel Géotracer 2200 : essai Sessyl de novembre 1995, 2. Annexes E1 à E4 : courbes / D. Betaille (1996)Permalink