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Auteur Q. Guo |
Documents disponibles écrits par cet auteur (8)
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Bistatic ISAR imaging incorporating interferometric 3-D imaging technique / C. Ma in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 1 (October 2012)
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Titre : Bistatic ISAR imaging incorporating interferometric 3-D imaging technique Type de document : Article/Communication Auteurs : C. Ma, Auteur ; T. Yeo, Auteur ; Q. Guo, Auteur ; P. Wei, Auteur Année de publication : 2012 Article en page(s) : pp 3859 - 3867 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] correction d'image
[Termes IGN] image 3D
[Termes IGN] image ISAR
[Termes IGN] image radar
[Termes IGN] image radar moirée
[Termes IGN] radar à antenne synthétiqueRésumé : (Auteur) Bistatic inverse synthetic aperture radar (BiISAR) imaging provides complementary information to monostatic ISAR imaging. A suggestion that the conventional bistatic ISAR can be replaced by an equivalent monostatic radar is shown to be inadequate in this paper. We prove that the BiISAR image is a sheared version of the projection of the target on the range-Doppler plane. A bistatic interferometric radar configuration is proposed to correct this distortion and to form 3-D image. Simulation results have validated our analysis and shown the viability of the proposed 3-D imaging algorithm. Numéro de notice : A2012-526 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2186304 Date de publication en ligne : 12/03/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2186304 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31972
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 10 Tome 1 (October 2012) . - pp 3859 - 3867[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012101A RAB Revue Centre de documentation En réserve L003 Disponible A framework for supervised image classification with incomplete training samples / Q. Guo in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 6 (June 2012)
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Titre : A framework for supervised image classification with incomplete training samples Type de document : Article/Communication Auteurs : Q. Guo, Auteur ; W. Li, Auteur ; J. Chen, Auteur Année de publication : 2012 Article en page(s) : pp 595 - 604 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] échantillonnage d'image
[Termes IGN] extraction de coucheRésumé : (Auteur) For traditional supervised classification methods, all land-cover types need to be exhaustively labeled to train the classifier. However, there are situations where the training sample classes are incomplete due to a lack of understanding of ground cover types in the image. In this study we propose a one-by-one (OBO) classification framework to address this incomplete training sample problem. The OBO approach is based on a one-class classifier (positive and unlabeled learning algorithm), and it extracts the land-cover type from the image one at a time. The performance of the proposed method was compared with a traditional supervised classifier using a high spatial resolution image. The average accuracy of the new method is 76.34 percent across different training sample sizes, whereas the accuracy of the classical approach is 66.46 percent, with an increase of 9.88 percent. The results demonstrate that the proposed new framework provides significantly higher classification accuracy than the classical approach at the 95 percent confidence level, and shows promise in dealing with the incomplete training sample problem for supervised image classification. Numéro de notice : A2012-249 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.6.595 En ligne : https://doi.org/10.14358/PERS.78.6.595 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31695
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 6 (June 2012) . - pp 595 - 604[article]Reducing mis-registration and shadow effects on change detection in wetlands / Jinxia Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 4 (April 2011)
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Titre : Reducing mis-registration and shadow effects on change detection in wetlands Type de document : Article/Communication Auteurs : Jinxia Zhu, Auteur ; Q. Guo, Auteur ; D. Li, Auteur ; T. Harmon, Auteur Année de publication : 2011 Article en page(s) : pp 325 - 334 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] axe de prise de vue
[Termes IGN] classification orientée objet
[Termes IGN] correction des ombres
[Termes IGN] détection de changement
[Termes IGN] marais
[Termes IGN] ombre
[Termes IGN] seuillage d'image
[Termes IGN] superposition d'imagesRésumé : (Auteur) With respect to the inevitable mis-registration and shadow effects on change detection analysis, we propose object-based post-classification of the Multivariate Alteration Detection components (ob-mad). Very high spatial resolution images of drained, managed wetland ponds were used to compare the proposed OB-MAD method with three commonly used classification methods in terms of minimizing the influence of mis-registration and shadow on the change detection analysis: (a) the traditional mad method with thresholds (Threshold-MAD), (b) a pixel-based post-classification of mad components with decision tree analysis (PB-MAD), and (c) a traditional object-based post-classification method (OB-traditional). The OB-MAD method, which utilizes shape and textural information of objects derived from MAD components, produced the highest accuracy with respect to wetland change detection and successfully minimized the influence from the geometric distortion and shadow on the changed area. Numéro de notice : A2011-127 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.4.325 En ligne : https://doi.org/10.14358/PERS.77.4.325 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30906
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 4 (April 2011) . - pp 325 - 334[article]Effects of topographic variability and Lidar sampling density on several DEM interpolation methods / Q. Guo in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 6 (June 2010)
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Titre : Effects of topographic variability and Lidar sampling density on several DEM interpolation methods Type de document : Article/Communication Auteurs : Q. Guo, Auteur ; W. Li, Auteur ; H. Yu, Auteur ; O. Alvarez, Auteur Année de publication : 2010 Article en page(s) : pp 701 - 712 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification barycentrique
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] fonction spline d'interpolation
[Termes IGN] interpolation
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] krigeage
[Termes IGN] modèle numérique de terrain
[Termes IGN] Triangulated Irregular Network
[Termes IGN] variabilitéRésumé : (Auteur) This study aims to quantify the effects of topographic variability (measured by coefficient variation of elevation, CV) and lidar (Light Detection and Ranging) sampling density on the DEM (Digital Elevation Model) accuracy derived from several interpolation methods at different spatial resolutions. Interpolation methods include natural neighbor (NN), inverse distance weighted (IDW), triangulated irregular network (TIN), spline, ordinary kriging (OK), and universal kriging (UK). This study is unique in that a comprehensive evaluation of the combined effects of three influencing factors (CV, sampling density, and spatial resolution) on lidar-derived DEM accuracy is carried out using different interpolation methods. Results indicate that simple interpolation methods, such as IDW, NN, and TIN, are more efficient at generating DEMs from lidar data, but kriging-based methods, such as OK and UK, are more reliable if accuracy is the most important consideration. Moreover, spatial resolution also plays an important role when generating DEMs from lidar data. Our results could be used to guide the choice of appropriate lidar interpolation methods for DEM generation given the resolution, sampling density, and topographic variability. Numéro de notice : A2010-228 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.6.701 En ligne : https://doi.org/10.14358/PERS.76.6.701 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30422
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 6 (June 2010) . - pp 701 - 712[article]Positioning localities based on spatial assertions / Y. Liu in International journal of geographical information science IJGIS, vol 23 n°11-12 (november 2009)
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Titre : Positioning localities based on spatial assertions Type de document : Article/Communication Auteurs : Y. Liu, Auteur ; Q. Guo, Auteur ; J. Wieczorek, Auteur ; Michael F. Goodchild, Auteur Année de publication : 2009 Article en page(s) : pp 1471 - 1501 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] géopositionnement
[Termes IGN] incertitude de position
[Termes IGN] modèle conceptuel de données
[Termes IGN] probabilités
[Termes IGN] raisonnement spatial
[Termes IGN] relation spatiale
[Termes IGN] segmentation sémantique
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In practice, descriptive localities are often communicated using named places and spatial relationships. Uncertainty associated with such descriptions of localities is inevitable, and knowledge of such uncertainty is normally not explicit. When translating descriptive localities into spatially explicit ones, it is critical to circumscribe locations and to estimate the associated uncertainty based on a set of appropriate spatial relationships. In conventional research on qualitative spatial reasoning (QSR), spatial relationships are modeled using formal logic. Unfortunately, QSR cannot deal with the uncertainty of a position. In this paper, based on the conceptual model of spatial assertions, we introduce the uncertainty field model to represent the probability distribution of a point locality. Using probability operations, we can combine a set of assertions to position a locality. Conflicts among assertions for a single locality can be detected based on the resulting field. Since spatial relationships play an important role in the uncertainty of target objects, we investigate conceptually the uncertainty fields associated with various types of spatial relationships (for example, topological, directional and metric). In a concrete application, these uncertainty fields can be customized and used without altering the proposed framework. Copyright Taylor & Francis Numéro de notice : A2009-517 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802247114 En ligne : https://doi.org/10.1080/13658810802247114 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30146
in International journal of geographical information science IJGIS > vol 23 n°11-12 (november 2009) . - pp 1471 - 1501[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-09071 RAB Revue Centre de documentation En réserve L003 Disponible 079-09072 RAB Revue Centre de documentation En réserve L003 Disponible Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach / Q. Guo in International journal of geographical information science IJGIS, vol 22 n° 10 (october 2008)
PermalinkA framework of region-based spatial relations for non-overlapping features and its application in object based image analysis / Y. Liu in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)
PermalinkThe point-radius method for georeferencing locality descriptions and calculating associated uncertainty / J. Wieczorek in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)
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