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Complexity metrics to quantify semantic accuracy in segmented Landsat images / Alfred Stein in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)
[article]
Titre : Complexity metrics to quantify semantic accuracy in segmented Landsat images Type de document : Article/Communication Auteurs : Alfred Stein, Auteur ; K. De Beurs, Auteur Année de publication : 2005 Article en page(s) : pp 2937 - 2951 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agriculture
[Termes IGN] agriculture de précision
[Termes IGN] analyse comparative
[Termes IGN] classification
[Termes IGN] image Landsat
[Termes IGN] Kazakhstan
[Termes IGN] milieu rural
[Termes IGN] Pays-Bas
[Termes IGN] précision sémantique
[Termes IGN] segmentation d'image
[Termes IGN] spatial metricsRésumé : (Auteur) This paper addresses semantic accuracy in relation to images obtained with remote sensing. Semantic accuracy is defined in terms of map complexity. Complexity metrics are applied as a metric to measure complexity. The idea is that a homogeneous map of a low complexity is of a high semantic accuracy. In this study, complexity metrics like aggregation index, fragmentation index and patch size are applied on two images with different objectives, one from an agricultural area in the Netherlands, and one from a rural area in Kazakhstan. Images are segmented first using region merging segmentation. Effects on metrics and semantic accuracy are discussed. On the basis of well-defined subsets, we conclude that the complexity metrics are suitable to quantify the semantic accuracy of the map. Segmentation is the most useful for an agricultural area including various agricultural fields. Metrics are mutually comparable being highly correlated, but showing some different aspects in quantifying map homogeneity and identifying objects of a high semantic accuracy. Numéro de notice : A2005-295 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500057749 En ligne : https://doi.org/10.1080/01431160500057749 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27431
in International Journal of Remote Sensing IJRS > vol 26 n° 14 (July 2005) . - pp 2937 - 2951[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05141 RAB Revue Centre de documentation En réserve L003 Exclu du prêt 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 A split-and-merge technique for automated reconstruction of roof planes / Kourosh Khoshelham in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 7 (July 2005)
[article]
Titre : A split-and-merge technique for automated reconstruction of roof planes Type de document : Article/Communication Auteurs : Kourosh Khoshelham, Auteur ; Z. Li, Auteur ; B. King, Auteur Année de publication : 2005 Article en page(s) : pp 855 - 862 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] extraction du sursol
[Termes IGN] hauteur du bâti
[Termes IGN] modèle numérique de surface
[Termes IGN] morphologie urbaine
[Termes IGN] partition de surface
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] segmentation d'imageRésumé : (Auteur) Automated reconstruction of buildings from different data sources has been one of the most challenging problems in photogrammetry and computer vision. Systems for automated building reconstruction fail in many cases due to complexities involved in the data including image noise, occlusion, shadow, and low contrast, as well as, low accuracy or density of height data. In this paper, the problem of overgrown and undergrown regions in the segmentation of aerial images is discussed, and a split-and-merge technique is presented to overcome this problem by making use of height data. This technique is based on splitting image regions whose associated height points do not fall in a single plane, and merging coplanar neighboring regions. A robust plane-fitting method is used to fit planar surfaces to height points that are highly contaminated by gross errors. Final roof planes are extracted out of the image planar regions by checking their slope and height over a morphologically opened Dsm. An experimental evaluation is conducted, and its results indicate the capability of the proposed technique in splitting overgrown regions, merging undergrown coplanar regions, and selecting the final roof planes. Also, the method is shown to be computationally efficient, and the reconstructed roof planes are of acceptable accuracy. Numéro de notice : A2005-300 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.7.855 En ligne : https://doi.org/10.14358/PERS.71.7.855 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27436
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 7 (July 2005) . - pp 855 - 862[article]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]Construction of the planar partition postal code map based on cadastral registration / F. Penninga in Geoinformatica, vol 9 n° 2 (June - August 2005)
[article]
Titre : Construction of the planar partition postal code map based on cadastral registration Type de document : Article/Communication Auteurs : F. Penninga, Auteur ; E. Verbee, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 181 - 204 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] cadastre étranger
[Termes IGN] cadastre numérique
[Termes IGN] code postal
[Termes IGN] diagramme de Voronoï
[Termes IGN] géocodage par adresse postale
[Termes IGN] Pays-Bas
[Termes IGN] squelettisation
[Termes IGN] World Geodetic System 1984Résumé : (Auteur) Accurate postal code maps have many applications within GIS as the postal code has the potential to link the address description of buildings to their location in a specified global reference system in a more natural way. This relationship is possible in both directions: geocoding and reverse-geocoding. These operators demand a mechanism for translating an exact geometric position (i.e., WGS84 coordinate) into a location indication (town, street, house number) and vice versa. As most built-up parcels are provided with a postal code, this indicator can be used as the linkage. This paper describes the procedure, based on the Dutch cadastral registration, to obtain a reliable 6-position (i.e., 262813X, the highest level of detail possible) planar postal code map for the Netherlands. Problems with existing, Voronoi-diagram based, postal code maps, like intersected houses and arbitrary derived (and thus unrecognizable) boundaries are avoided. The reliability of the derived planar postal code map is discussed and results are illustrated by figures. For a planar coverage, non built-up parcels having no postal code should be assigned a plausible postal code. Furthermore special attention is given to infrastructural parcels. These parcels are divided at their (approximated) skeletons first and then these subdivided infrastructure parcels are piecewise attached to their neighbour parcels. This new approach results in very reliable postal code maps, which are visually attractive too as infrastructure lines can be recognized. The procedure is generic and can be applied to other administrative parcel information as well. The algorithm is implemented using the Computational Geometry Algorithms Library (CGAL), and the possibilities and limitations of this library are addressed as well. Also a number of non-implemented alternatives or improvements are given. Numéro de notice : A2005-226 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-005-6430-3 En ligne : https://doi.org/10.1007/s10707-005-6430-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27363
in Geoinformatica > vol 9 n° 2 (June - August 2005) . - pp 181 - 204[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-05021 RAB Revue Centre de documentation En réserve L003 Disponible Télédétection et photogrammétrie, chaînons dans la détermination du climat urbain à Strasbourg / Tania Landes in XYZ, n° 103 (juin - août 2005)PermalinkA layered stereo matching algorithm using segmentation and global visibility constraints / M. Bleyer in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)PermalinkA comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification / C.W. Emerson in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)PermalinkLand covers update by supervised classification of segmented ASTER images / A.R.S. Marcal in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)PermalinkAn unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images / Y. Bazi in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)PermalinkReal-time speed limit sign recognition based on locally adaptive thresholding and depth-first-search / J. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 4 (April 2005)PermalinkRemote sensing image thresholding methods for determining landslide activity / P.L. Rosin in International Journal of Remote Sensing IJRS, vol 26 n° 6 (March 2005)PermalinkClassification orientée objet de la perméabilité des sols en zone urbaine à l'aide d'imagerie très haute résolution et de données laser scanner à Curitiba (Brésil) / A. Karsenty in XYZ, n° 102 (mars - mai 2005)PermalinkAutomatic detection of earthquake-damaged buildings using DEMs created from pre- and post-earthquake stereo aerial photographs / M. Turker in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)PermalinkSatellite image classification using genetically guided fuzzy clustering with spatial information / S. Bandyopadhyay in International Journal of Remote Sensing IJRS, vol 26 n° 3 (February 2005)Permalink