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Multivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty / Arko Lucieer in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)
[article]
Titre : Multivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty Type de document : Article/Communication Auteurs : Arko Lucieer, Auteur ; Alfred Stein, Auteur ; Peter F. Fisher, Auteur Année de publication : 2005 Article en page(s) : pp 2917 - 2936 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse multivariée
[Termes IGN] extraction automatique
[Termes IGN] image CASI
[Termes IGN] image multibande
[Termes IGN] incertitude des données
[Termes IGN] niveau de gris (image)
[Termes IGN] objet géographique
[Termes IGN] segmentation d'image
[Termes IGN] texture d'imageRésumé : (Auteur) In this study, a segmentation procedure is proposed, based on grey-level and multivariate texture to extract spatial objects from an image scene. Object uncertainty was quantified to identify transitions zones of objects with indeterminate boundaries. The Local Binary Pattern (LBP) operator, modelling texture, was integrated into a hierarchical splitting segmentation to identifiy homogeneous texture regions in an image. We proposed a multivariate extension of the standard univariate LBP operator to describe colour texture. The paper is illustrated with two case studies. The first considers an image with a composite of texture regions. The two LBP operators provided good segmentation results on both grey-scale and colour textures, depicted by accuracy values of 96% and 98% respectively. The second case study involved segmentation of coastal land cover objects from a multispectral Compact Airborne Spectral Imager (CASI) image, of a coastal area in the UK. Segmentation based on the univariate LBP measure provided unsatisfactory segmentation results from a single CASI band (70% accuracy). A multivariate LBP-based segmentation of three CASI bands improved segmentation results considerably (77% accuracy). Uncertainty values for object building blocks provided valuable information for identification of object transition zones. We conclude that the multivariate LBP texture model in combinaison with a hierarchical splitting segmentation framework is suitable for identifying objects and for quantifying their uncertainty. Numéro de notice : A2005-294 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500057723 En ligne : https://doi.org/10.1080/01431160500057723 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27430
in International Journal of Remote Sensing IJRS > vol 26 n° 14 (July 2005) . - pp 2917 - 2936[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05141 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Spatial knowledge databases as applied to the detection of changes in urban land use / T.Y. Chou in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)
[article]
Titre : Spatial knowledge databases as applied to the detection of changes in urban land use Type de document : Article/Communication Auteurs : T.Y. Chou, Auteur ; T.C. Lei, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 3047 - 3068 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de connaissances
[Termes IGN] base de données d'images
[Termes IGN] base de données d'occupation du sol
[Termes IGN] base de données documentaires
[Termes IGN] classification à base de connaissances
[Termes IGN] classification dirigée
[Termes IGN] image SPOT-HRV
[Termes IGN] incertitude des données
[Termes IGN] information géographique
[Termes IGN] intégration de données
[Termes IGN] milieu urbain
[Termes IGN] utilisation du solRésumé : (Auteur) Changes in land can involve pressing and complex problems that urban areas need to resolve. Construction of a land use or land cover mechanism is an essential way of dealing with those problems. Based upon the difficulties that occur in investigations of land use, this study will focus on the development of a spatial knowledge database. The major function of a spatial knowledge database is to integrate spectral, GIS, aerial photos, and DEM information. In this study data from a series of periods for SPOT-HRV XS images (1993, 1996, 1998) were collected. A decision-tree concept was built into the image-classification database to resolve the uncertainty of images in urban areas. The aim of this study is to provide an objective solution for efficiently classifying images in urban areas. Numéro de notice : A2005-297 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500057889 En ligne : https://doi.org/10.1080/01431160500057889 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27433
in International Journal of Remote Sensing IJRS > vol 26 n° 14 (July 2005) . - pp 3047 - 3068[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05141 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Structural damage assessments from Ikonos data using change detection, object-oriented segmentation, and classification techniques / D.H.A. Khudhairy in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 7 (July 2005)
[article]
Titre : Structural damage assessments from Ikonos data using change detection, object-oriented segmentation, and classification techniques Type de document : Article/Communication Auteurs : D.H.A. Khudhairy, Auteur ; I. Caravaggi, Auteur ; S. Giada, Auteur Année de publication : 2005 Article en page(s) : pp 825 - 835 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes principales
[Termes IGN] Brest
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] eCognition
[Termes IGN] extraction automatique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] milieu urbain
[Termes IGN] morphologie mathématique
[Termes IGN] Palestine
[Termes IGN] segmentation d'imageRésumé : (Auteur) Recent improvements in the spatial resolution of commercial satellite imagery make it possible to apply very high-resolution (VHR) satellite data for assessing structural damage in the aftermath of humanitarian crises, such as, armed conflicts. Visual interpretation of pre- and post-crisis very high-resolution satellite imagery is the most straightforward method for discriminating structural damage and assessing its extent. However, the feasibility of using visual interpretation alone diminishes in the cases of large and dense urban settlements and spatial resolutions in the range of 2 m to 3 meters and larger. Visual interpretation can be further complicated at spatial resolutions greater than 1 m if accompanied by shadow formation and differences in sensor and solar conditions between the pre- and post-conflict images. In this study, we address these problems through investigating the use of traditional change techniques, namely, image differencing and principle component analysis, with an object-oriented image classification software, e-Cognition. Pre-conflict Ikonos (2 m resolution) images of Jenin in the Palestinian territories and Brest (1 m resolution) in FYROM were classified using the e-Cognition software. Thereafter, the pre-conflict classification was used to guide the classification, using e-Cognition, of the pixel-based change detection analysis. The second part of the study examines the feasibility of using mathematical morphological operators to automatically identify likely structurally damaged zones in dense urban settings. The overall results are promising and show that object-oriented segmentation and classification systems facilitate the interpretation of change detection results derived from very high-resolution (1 m and 2 m) commercial satellite data. The results show that object-oriented classification techniques enhance quantitative analysis of traditional pixel-based change detection applied to very high-resolution satellite data and facilitate the interpretation of changes in urban features. Finally, the results suggest that mathematical morphological methods are a potential new avenue for automatically extracting likely damaged zones from very high-resolution satellite imagery in the aftermath of disasters. Numéro de notice : A2005-298 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.7.825 En ligne : https://doi.org/10.14358/PERS.71.7.825 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27434
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 7 (July 2005) . - pp 825 - 835[article]Super-resolution land cover mapping using a Markov random field based approach / T. Kasetkasem in Remote sensing of environment, vol 96 n° 3 (30/06/2005)
[article]
Titre : Super-resolution land cover mapping using a Markov random field based approach Type de document : Article/Communication Auteurs : T. Kasetkasem, Auteur ; M.J. Arora, Auteur ; P.K. Varshney, Auteur Année de publication : 2005 Article en page(s) : pp 302 - 314 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte d'occupation du sol
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification dirigée
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] précision infrapixellaire
[Termes IGN] programmation linéaireRésumé : (Auteur) Occurrence of mixed pixels in remote sensing images is a major problem particularly at coarse spatial resolutions. Therefore, sub-pixel classification is often preferred, where a pixel is resolved into various class components (also called class proportions or fractions). While, under most circumstances, land cover information in this form is more effective than crisp classification, sub-pixel classification fails to account for the spatial distribution of class proportions within the pixel. An alternative approach is to consider the spatial distribution of class proportions within and between pixels to perform super-resolution mapping (i.e. mapping land cover at a spatial resolution finer than the size of the pixel of the image). Markov random field (MRF) models are well suited to represent the spatial dependence within and between pixels. In this paper, an MRF model based approach is introduced to generate super-resolution land cover maps from remote sensing data. In the proposed MRF model based approach, the intensity values of pixels in a particular spatial structure (i.e., neighborhood) are allowed to have higher probability (i.e., weight) than others. Remote sensing images at two markedly different spatial resolutions, IKONOS MSS image at 4m spatial resolution and Landsat ETM+ image at 30m spatial resolution, are used to illustrate the effectiveness of the proposed MRF model based approach for super-resolution land cover mapping. The results show a significant increase in the accuracy of land cover maps at fine spatial resolution over that obtained from a recently proposed linear optimization approach suggested by Verhoeye and Wulf (2002) (Verhoeye, J., Wulf, R. D. (2002). Land Cover Mapping at Sub-pixel Scales using Linear Optimization Techniques, Remote Sensing of Environment, 79, 96-104). Numéro de notice : A2005-266 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.02.006 En ligne : https://doi.org/10.1016/j.rse.2005.02.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27402
in Remote sensing of environment > vol 96 n° 3 (30/06/2005) . - pp 302 - 314[article]A comparative analysis of image fusion methods / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 43 n° 6 (June 2005)
[article]
Titre : A comparative analysis of image fusion methods Type de document : Article/Communication Auteurs : Z. Wang, Auteur ; D. Ziou, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 1391 - 1402 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] fusion d'images
[Termes IGN] image à basse résolution
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] transformation de Brovey
[Termes IGN] transformation en ondelettes
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) There are many image fusion methods that can be used to produce high-resolution multispectral images from a high-resolution panchromatic image and low-resolution mutlispectral images. Starting from the physical principle of image formation, this paper presents a comprehensive framework, the general image fusion (GIF) method, which makes it possible to categorize, compare, and evaluate the existing image fusion methods. Using the GIF method, it is shown that the pixel values of the high-resolution multispectral images are determined by the corresponding pixel values of the low-resolution panchromatic image, the approximation of the high-resolution panchromatic image at the low-resolution level. Many of the existing image fusion methods, including, but not limited to, intensity-hue-saturation, Brovey transform, principal component analysis, high-pass filtering, high-pass modulation, the à trous algorithm-based wavelet transform, and multiresolution analysis-based intensity modulation (MRAIM), are evaluated and found to be particular cases of the GIF method. The performance of each image fusion method is theoretically analyzed based on how the corresponding low-resolution panchromatic image is computed and how the modulation coefficients are set. An experiment based on IKONOS images shows that there is consistency between the theoretical analysis and the experimental results and that the MRAIM method synthesizes the images closest to those the corresponding multisensors would observe at the high-resolution level. Numéro de notice : A2005-309 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.846874 En ligne : https://doi.org/10.1109/TGRS.2005.846874 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27445
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 6 (June 2005) . - pp 1391 - 1402[article]Réservation
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