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Multi-level filtering segmentation to measure individual tree parameters based on Lidar data: Application to a mountainous forest with heterogeneous stands / Cédric Vega in International journal of applied Earth observation and geoinformation, vol 13 n° 4 (August 2011)
[article]
Titre : Multi-level filtering segmentation to measure individual tree parameters based on Lidar data: Application to a mountainous forest with heterogeneous stands Type de document : Article/Communication Auteurs : Cédric Vega , Auteur ; Sylvie Durrieu, Auteur Année de publication : 2011 Projets : TOSCA ExFOLIO / Durrieu, Sylvie Article en page(s) : pp 646 - 656 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] extraction de la végétation
[Termes IGN] forêt alpestre
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] lasergrammétrie
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] Pinus nigra
[Termes IGN] troncRésumé : (auteur) This paper presents a method for individual tree crown extraction and characterisation from a canopy surface model (CSM). The method is based on a conventional algorithm used for localising LM on a smoothed version of the CSM and subsequently for modelling the tree crowns around each maximum at the plot level. The novelty of the approach lies in the introduction of controls on both the degree of CSM filtering and the shape of elliptic crowns, in addition to a multi-filtering level crown fusion approach to balance omission and commission errors. The algorithm derives the total tree height and the mean crown diameter from the elliptic tree crowns generated. The method was tested and validated on a mountainous forested area mainly covered by mature and even-aged black pine (Pinus nigra ssp. nigra [Arn.]) stands. Mean stem detection per plot, using this method, was 73.97%. Algorithm performance was affected slightly by both stand density and heterogeneity (i.e. tree diameter classes’ distribution). The total tree height and the mean crown diameter were estimated with root mean squared error values of 1.83 m and 1.48 m respectively. Tree heights were slightly underestimated in flat areas and overestimated on slopes. The average crown diameter was underestimated by 17.46% on average. Numéro de notice : A2011-565 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.jag.2011.04.002 En ligne : https://doi.org/10.1016/j.jag.2011.04.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76409
in International journal of applied Earth observation and geoinformation > vol 13 n° 4 (August 2011) . - pp 646 - 656[article]A multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)
[article]
Titre : A multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery Type de document : Article/Communication Auteurs : X. Huang, Auteur ; L. Zhang, Auteur Année de publication : 2011 Article en page(s) : pp 721 - 732 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection du bâti
[Termes IGN] extraction automatique
[Termes IGN] image Geoeye
[Termes IGN] image multibande
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] seuillage d'image
[Termes IGN] Wuhan (Chine)Résumé : (Auteur) This study proposes a novel morphological building index (MBl) for automatic building extraction from high-resolu-tion remotely sensed imagery. The basic idea of MBl is to build a relationship between the implicit characteristics of buildings (e.g., brightness, size, and contrast) and the properties of morphological operators (e.g., reconstruction, granulometry, and directionality). Buildings are extracted by performing a threshold on the MBl feature image. Subsequently, the shape features, such as area and length width ratio, are used to refine the binary building map. In order to validate the proposed algorithm, a comparative study was performed between MBl, a recently developed texture-derived built-up presence index (PanTex), and the widely used object-based approach. Experiments were conducted on a multispectral GeoEye-1 image, covering a study area of 5.5 km by 5.3 km in Hongshan district of Wuhan, central China. In experiments, MBl achieved satisfactory results and outperformed other algorithms in terms of both accuracies and visual inspection. The effect: of parameters of mbi were also analyzed in detail, includ-ing directions, sizes and the binaryzation threshold. Numéro de notice : A2011-314 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.7.721 En ligne : https://doi.org/10.14358/PERS.77.7.721 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31093
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 7 (July 2011) . - pp 721 - 732[article]Real-time object detection with sub-pixel accuracy using the level set method / F. Burkert in Photogrammetric record, vol 26 n° 134 (June - August 2011)
[article]
Titre : Real-time object detection with sub-pixel accuracy using the level set method Type de document : Article/Communication Auteurs : F. Burkert, Auteur ; Matthias Butenuth, Auteur ; M. Ulrich, Auteur Année de publication : 2011 Article en page(s) : pp 154 - 170 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification à base de connaissances
[Termes IGN] détection d'objet
[Termes IGN] détection de contours
[Termes IGN] niveau de gris (image)
[Termes IGN] précision infrapixellaire
[Termes IGN] reconnaissance d'objets
[Termes IGN] temps réelRésumé : (Auteur) This paper presents a method for object detection with sub-pixel accuracy in digital images satisfying real-time applications. The method uses an approximation of the level-set-based contour evolution, which applies only integer operations in a fast two-cycle algorithm to achieve real-time performance. Level-set-based contour evolution forms a part of the geometric active contour process, which combines image data and a priori geometric knowledge of an object to be evolved over an image towards the object border. The algorithm avoids the solution of partial differential equations. Instead only integer operations are applied and the contour evolution is performed by using a two-cycle algorithm. The proposed method for object detection with sub-pixel accuracy refines the pixel-accurate result of the level-set-based contour evolution algorithm by using a fast parabolic fitting mechanism. Sub-pixel accuracy of the resulting object contours is achieved by adjusting every contour point towards the nearby maximum of the image gradient. Real-time performance can be provided because the adjustment is performed only once after the contour evolution. Experimental results with images from industry, photogrammetry, remote sensing and medicine show the functionality and applicability of this method to several fields of work. In addition, the experiments are evaluated by applying quality measures for the geometric accuracy and the run time. Numéro de notice : A2011-238 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00633.x Date de publication en ligne : 06/06/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00633.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31016
in Photogrammetric record > vol 26 n° 134 (June - August 2011) . - pp 154 - 170[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2011021 RAB Revue Centre de documentation En réserve L003 Disponible Extraction of cartographic contour lines using digital terrain Model (DTM) / Kusay Jaara in Cartographic journal (the), vol 48 n° 2 (May 2011)
[article]
Titre : Extraction of cartographic contour lines using digital terrain Model (DTM) Type de document : Article/Communication Auteurs : Kusay Jaara , Auteur ; François Lecordix , Auteur Année de publication : 2011 Conférence : ICC 2011, 25th International Cartographic Conference and 15th ICA General Assembly 03/07/2011 08/07/2011 Paris France OA Proceedings Article en page(s) : pp 131 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] automatisation
[Termes IGN] base de données localisées IGN
[Termes IGN] carte de base
[Termes IGN] cartographie topographique
[Termes IGN] détection de contours
[Termes IGN] image à haute résolution
[Termes IGN] modèle numérique de terrain
[Termes IGN] orographie
[Termes IGN] référentiel à grande échelle
[Termes IGN] sommet (relief)Résumé : (Auteur) The French National Mapping Agency (IGN) plans to renew all the topographic maps at 1:25 000 and 1:50 000 scale. The New Base Map project has been launched in order to produce a flow line for topographic maps from a vector geographic database, and decrease costs of topographic map production. The project aims also to automate the extraction of contour lines, and take advantage of the high-resolution digital terrain model (DTM) data recently available in the agency. These data come from automatic correlation, or they are produced using new sensors (lidar or radar). The high-resolution DTM is a breakthrough to extract cartographic elements such as the cartographic contour lines, the points of mountain pass and the summits. In a precedent paper, we presented a research for producing cartographic contour lines from DTM. Since then, the method has been developed and implemented at the IGN in order to have a production tool for the contour lines. The first part of this paper provides technical details regarding the extraction of contour lines with the problems resolved during the implementation. The second part will introduce our method for extracting the mountain pass and summits from high-resolution DTM. The final section will include the results and summarize the findings. Numéro de notice : A2011-264 Affiliation des auteurs : COGIT (1988-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/1743277411Y.0000000011 Date de publication en ligne : 22/11/2013 En ligne : https://doi.org/10.1179/1743277411Y.0000000011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31042
in Cartographic journal (the) > vol 48 n° 2 (May 2011) . - pp 131 - 137[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-2011021 RAB Revue Centre de documentation En réserve L003 Disponible A new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform / J. Saeedi in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)
[article]
Titre : A new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform Type de document : Article/Communication Auteurs : J. Saeedi, Auteur ; K. Faez, Auteur Année de publication : 2011 Article en page(s) : pp 365 - 381 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection de contours
[Termes IGN] histogramme
[Termes IGN] image à basse résolution
[Termes IGN] image à moyenne résolution
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] image Worldview
[Termes IGN] optimisation (mathématiques)
[Termes IGN] pansharpening (fusion d'images)Résumé : (Auteur) In this paper, a novel approach based on multiobjective particle swarm optimization (MOPSO) is presented for panchromatic (Pan) sharpening of a multispectral (MS) image. This new method could transfer spatial details of the pan image into a high-resolution version of the MS image, while color information from the low-resolution MS image is well preserved. The pan and MS images are locally different because of different resolutions, and therefore we cannot directly combine them in the spatial domain. For this reason, we generate two initial results, which are more appropriate for a weighted combination. First, the pan and the MS images are histogram matched. Then we use the shiftable contourlet transform (SCT) to decompose the histogram-matched pan and MS images. The SCT is a new shiftable and modified version of the contourlet transform. In this step, an algorithm based on the SCT is used to generate two initial results of the high-resolution MS images. Our objective is to produce two modified high-resolution MS images, in which one has high spatial similarity to the pan image and the other one has high radiometric quality in each band. Therefore, we have used two different fusion rules to integrate the high-frequency contourlet coefficients of the pan and MS images to generate two initial results of high-resolution MS image or the pan-sharpened (PS) image. Finally, we can find the optimal PS image by applying the MOPSO algorithm and using the two initial PS results. Specifically, the PS image is obtained via a weighted combination of the two initial results, in which the weights are locally estimated via a multiobjective particle swarm optimization algorithm to generate a PS image with high spatial and radiometric qualities. Based on experimental results obtained, the produced pan-sharpened image also has good spectral quality. The efficiency of the proposed method is tested by performing pan-sharpening of high-resolution (Quickbird and Wordview2) and medium-resolution (Landsat-7 ETM +) datasets. Extensive comparisons with the state-of-the-art pan-sharpening algorithms indicate that our new method provides improved subjective and objective results. Numéro de notice : A2011-117 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.01.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.01.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30897
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 3 (May - June 2011) . - pp 365 - 381[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011031 SL Revue Centre de documentation Revues en salle Disponible PermalinkChange detection in a topographic building database using submetric satellite images / Arnaud Le Bris (2011)PermalinkEdge enhancement algorithm based on the wavelet transform for automatic edge detection InSAR images / Mariví Tello Alonso in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 1 (January 2011)PermalinkGraph-based feature selection for object-oriented classification in VHR airborne imagery / Tianen Chen in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 2 (January 2011)PermalinkPermalinkRecalage d'un nuage de points de scanner laser terrestre avec une image de bâtiment / Abdelhamid Bennis (2011)PermalinkPermalinkAlgorithms for automatic matching of polygons or closed curves derived from different images / Y. Avrahami in SaLIS Surveying and land information science, vol 70 n° 4 (Winter 2010)PermalinkAutomatic detection of residential building using LIDAR data and multispectral imagery / M. Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)PermalinkComparison of matching algorithms for DSM generation in urban areas from ikonos imagery / A. Alobeid in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)Permalink