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Combined object-based classification and manual interpretation-synergies for a quantitative assessment of parcels and biotopes / S. Lang in Geocarto international, vol 24 n° 2 (April - May 2009)
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[article]
Titre : Combined object-based classification and manual interpretation-synergies for a quantitative assessment of parcels and biotopes Type de document : Article/Communication Auteurs : S. Lang, Auteur ; E. Schöpfer, Auteur ; T. Langanke, Auteur Année de publication : 2009 Article en page(s) : pp 99 - 114 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse spatiale
[Termes IGN] biotope
[Termes IGN] classification orientée objet
[Termes IGN] détection de changement
[Termes IGN] image infrarouge couleur
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] photo-identification
[Termes IGN] photographie aérienne
[Termes IGN] segmentation d'image
[Termes IGN] système d'information géographique
[Termes IGN] voisinage (relation topologique)Résumé : (Auteur) Recent technical advances in remote sensing data capture and spatial resolution lead to a widening gap between increasing data availability on the one hand and insufficient methodology for semi-automated image data processing and interpretation on the other hand. At the interface of GIS and remote sensing, object-based image analysis methodologies are one possible approach to close this gap. With this, methods from either side are integrated to use both the capabilities of information extraction from image data and the power to perform spatial analysis on derived polygon data. However, dealing with image objects from various sources and in different scales implies combining data with inconsistent boundaries. A landscape interpretation support tool (LIST) is introduced which seeks to investigate and quantify spatial relationships among image objects stemming from different sources by using the concept of spatial coincidence. Moreover, considering different categories of object fate, LIST enables a change categorization for each polygon of a time series of classifications. The application of LIST is illustrated by two case-studies, using Landsat TM and ETM as well as CIR aerial photographs: the first showing how the tool is used to perform object quantification and change analysis; the latter demonstrating how superior aggregation capabilities of the human brain can be combined with the fine spatial segmentation and classification. Possible fields of application are identified and limitations of the approach are discussed. Copyright Taylor & Francis Numéro de notice : A2009-123 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040802121093 Date de publication en ligne : 17/03/2009 En ligne : https://doi.org/10.1080/10106040802121093 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29753
in Geocarto international > vol 24 n° 2 (April - May 2009) . - pp 99 - 114[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-09021 RAB Revue Centre de documentation En réserve L003 Disponible 3D information extraction from laser point clouds covering complex road junctions / Sander J. Oude Elberink in Photogrammetric record, vol 24 n° 125 (March - May 2009)
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Titre : 3D information extraction from laser point clouds covering complex road junctions Type de document : Article/Communication Auteurs : Sander J. Oude Elberink, Auteur ; M. George Vosselman, Auteur Année de publication : 2009 Article en page(s) : pp 23 - 36 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] carrefour
[Termes IGN] carte topographique
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] fusion de données
[Termes IGN] modélisation 3D
[Termes IGN] objet géographique complexe
[Termes IGN] reconstruction 3D
[Termes IGN] réseau routier
[Termes IGN] segmentation d'image
[Termes IGN] semis de pointsRésumé : (Auteur) An automated method for 3D modelling of complex highway interchanges is presented. Laser data and 2D topographic map data have been combined in an innovative 3D reconstruction procedure. Complex situations as shown in this paper demand knowledge to guide the automatic reconstruction. This knowledge has been used in the fusion procedure to constrain the topological and geometrical properties of the reconstructed 3D model. These additions are needed to take care of the lack of data in occluded areas. Laser data has been segmented and filtered before it is fused with map data. In the surface-growing algorithm combining map and laser points, the laser data is assigned to the corresponding road element. Although results are shown using two specific data sources, the algorithm is designed to be capable of dealing with any polygon-based topographic map and any aerial laser scanner data-set. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2009-101 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00516.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00516.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29731
in Photogrammetric record > vol 24 n° 125 (March - May 2009) . - pp 23 - 36[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-09011 RAB Revue Centre de documentation En réserve L003 Disponible Pan-European forest/non forest mapping with Landsat ETM+ and Corine Land Cover 2000 data / A. Pekkarinen in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 2 (March - April 2009)
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Titre : Pan-European forest/non forest mapping with Landsat ETM+ and Corine Land Cover 2000 data Type de document : Article/Communication Auteurs : A. Pekkarinen, Auteur ; L. Reithmaier, Auteur ; Peter Strobl, Auteur Année de publication : 2009 Article en page(s) : pp 171 - 183 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse de groupement
[Termes IGN] analyse spectrale
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] Corine Land Cover
[Termes IGN] Europe (géographie politique)
[Termes IGN] forêt
[Termes IGN] image Landsat-ETM+
[Termes IGN] segmentation d'imageRésumé : (Auteur) This paper describes a simple and adaptive methodology for large area forest/non-forest mapping using Landsat ETM+ imagery and CORINE Land Cover 2000. The methodology is based on scene-by-scene analysis and supervised classification. The fully automated processing chain consists of several phases, including image segmentation, clustering, adaptive spectral representativity analysis, training data extraction and nearest-neighbour classification. This method was used to produce a European forest/non-forest map through the processing of 415 Landsat ETM+ scenes. The resulting forest/non-forest map was validated with three independent data sets. The results show that the map’s overall point-level agreement with our validation data generally exceeds 80%, and approaches 90% in central European conditions. Comparison with country-level forest area statistics shows that in most cases the difference between the forest proportion of the derived map and that computed from the published forest area statistics is below 5%. Copyright ISPRS Numéro de notice : A2009-096 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.09.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.09.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29726
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 2 (March - April 2009) . - pp 171 - 183[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-09021 RAB Revue Centre de documentation En réserve L003 Disponible 081-09022 RAB Revue Centre de documentation En réserve L003 Disponible Efficient shadow detection of color aerial images based on successive thresholding scheme / K.L. Chung in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)
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[article]
Titre : Efficient shadow detection of color aerial images based on successive thresholding scheme Type de document : Article/Communication Auteurs : K.L. Chung, Auteur ; Y. Lin, Auteur Année de publication : 2009 Article en page(s) : pp 671 - 682 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] détection d'ombre
[Termes IGN] image aérienne
[Termes IGN] image en couleur
[Termes IGN] seuillage d'image
[Termes IGN] teinteRésumé : (Auteur) Recently, Tsai presented an efficient algorithm which uses the ratio value of the hue over the intensity to construct the ratio map for detecting shadows of color aerial images. Instead of only using the global thresholding process in Tsai's algorithm, this paper presents a novel successive thresholding scheme (STS) to detect shadows more accurately. In our proposed STS, the modified ratio map, which is obtained by applying the exponential function to the ratio map proposed by Tsai, is presented to stretch the gap between the ratio values of shadow and nonshadow pixels. By performing the global thresholding process on the modified ratio map, a coarse-shadow map is constructed to classify the input color aerial image into the candidate shadow pixels and the nonshadow pixels. In order to detect the true shadow pixels from the candidate shadow pixels, the connected component process is first applied to the candidate shadow pixels for grouping the candidate shadow regions. For each candidate shadow region, the local thresholding process is performed iteratively to extract the true shadow pixels from the candidate shadow region. Finally, for the remaining candidate shadow regions, a fine-shadow determination process is applied to identify whether each remaining candidate shadow pixel is the true shadow pixel or not. Under six testing images, experimental results show that, for the first three testing images, both Tsai's and our proposed algorithms have better detection performance than that of the algorithm of Huang , and the shadow detection accuracy of our proposed STS-based algorithm is comparable to Tsai's algorithm. For the other three testing images, which contain some low brightness objects, our proposed algorithm has better shadow detection accuracy when compared with the previous two shadow detection algorithms proposed by Huang and Tsai. Copyright IEEE Numéro de notice : A2009-025 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2004629 En ligne : https://doi.org/10.1109/TGRS.2008.2004629 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29655
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 2 (February 2009) . - pp 671 - 682[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-09021 RAB Revue Centre de documentation En réserve L003 Disponible An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models / Jean-Pascal Burochin (2009)
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contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models Type de document : Article/Communication Auteurs : Jean-Pascal Burochin , Auteur ; Nicolas Paparoditis
, Auteur ; Olivier Tournaire
, Auteur
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 223 - 228 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] façade
[Termes IGN] image terrestre
[Termes IGN] modélisation 2D
[Termes IGN] segmentation d'image
[Termes IGN] texture d'imageRésumé : (Auteur) We introduce a new unsupervised segmentation method adapted to describe façade shapes from a single calibrated street level image. The image is first rectified thanks to its vanishing points to facilitate the extraction of facade main structures which are characterized by a horizontal and vertical gradient accumulation which enhances the detection of repetitive structures. Our aim is to build a hierarchy of rectangular regions bounded by the local maxima of the gradient accumulation. The algorithm recursively splits horizontally or vertically the image into two parts by maximizing the total length of regular edges until the radiometric content of the region hypothesis corresponds to a given model (planar and generalized cylinders). A regular edge is a segment of a main gradient direction that effectively matches to a contour of the image. This segmentation could be an interesting tool for facade modelling and is in particular well suited for facade texture compression. Numéro de notice : C2009-013 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_223.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65053 Building footprint database improvement for 3D reconstruction : a direction aware split and merge approach / Bruno Vallet (2009)
PermalinkPermalinkPermalinkRegion based segmentation of Quickbird multispectral imagery through band ratios and fuzzy comparison / B. Wuest in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)
PermalinkContribution of two plane detection to recognition of intact and damaged buildings in Lidar data / M. Rehor in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
PermalinkA knowledge-based approach to urban feature classification using aerial imagery with Lidar data / M. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
PermalinkLength-preserving thinning algorithm for line extraction from land cover data / J. Choi in Cartographica, vol 43 n° 4 (December 2008)
PermalinkA scheme for ship detection in inhomogeneous regions based on segmentation of SAR images / F. Zhang in International Journal of Remote Sensing IJRS, vol 29 n°19-20 (October 2008)
PermalinkUrban change detection based on coherence and intensity characteristics of SAR imagery / M. Liao in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 8 (August 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)
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