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Automated detection of branch dimensions in woody skeletons of fruit tree canopies / Alexander Bucksch in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)
[article]
Titre : Automated detection of branch dimensions in woody skeletons of fruit tree canopies Type de document : Article/Communication Auteurs : Alexander Bucksch, Auteur ; Stefan Fleck, Auteur Année de publication : 2011 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne Article en page(s) : pp 229 - 240 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] branche (arbre)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] houppier
[Termes IGN] semis de points
[Termes IGN] SKELTRE algorithm
[Termes IGN] squelettisationRésumé : (auteur) Modeling the 3D canopy structure of trees provides the structural mapping capability on which to assign distributed values of light-driven physiological processes in tree canopies. We evaluate the potential of automatically extracted skeletons from terrestrial lidar data as a basis for modeling canopy structure. The automatic and species independent evaluation method for lidar data of trees is based on the SKELTRE algorithm. The SKELTRE skeleton is a graphical representation of the branch hierarchy. The extraction of the branch hierarchy utilizes a graph splitting procedure to extract the branches from the skeleton. Analyzing the distance between the point cloud points and the skeleton is the key to the branch diameter. Frequency distributions of branch length and diameter were chosen to test the algorithm performance in comparison to manually measured data and resulted in a correlation of up to 0.78 for the branch length and up to 0.99 for the branch diameter. Numéro de notice : A2011-157 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.77.3.229 En ligne : https://doi.org/10.14358/PERS.77.3.229 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81267
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 3 (March 2011) . - pp 229 - 240[article]
[article]
Titre : Detecting water bodies on Radarsat imagery Type de document : Article/Communication Auteurs : G. Kuang, Auteur ; J. Li, Auteur ; Z. He, Auteur Année de publication : 2011 Article en page(s) : pp 15 - 25 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] détection de contours
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] plan d'eau
[Termes IGN] précision des donnéesRésumé : (Auteur) This paper presents a novel geodesic active contour (GAC) model based on an edge detector for rapid detection of water bodies from spaceborne synthetic aperture radar (SAR) imagery with high speckle noise. The original edge indicator function based on gradients is replaced by an edge indicator function based on the ratio of exponentially weighted averages (ROEWA) operator. Thus, the capability of edge detection and the accuracy of locating edges are greatly improved, which makes the model more appropriate for SAR images. In addition, an enhancing term is added to the original model’s energy function in order to boost the strength for the contour’s evolution. An unconditionally stable additive operator splitting (AOS) scheme and a fast algorithm for re-initialization of the level set function are adopted, which not only enhances the model’s stability, but also speeds up the model’s convergence remarkably. The experimental results on simulated and real RADARSAT-1/-2 images show its efficiency and accuracy. Numéro de notice : A2011-537 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5623/cig2011-005 En ligne : https://cdnsciencepub.com/doi/pdf/10.5623/cig2011-005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31431
in Geomatica > vol 65 n° 1 (March 2011) . - pp 15 - 25[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 035-2011011 RAB Revue Centre de documentation En réserve L003 Disponible La télédétection et son application à l'étude de la végétation : quelques principes / Anne Jolly in Rendez-vous techniques, n° 31 (hiver 2011)
[article]
Titre : La télédétection et son application à l'étude de la végétation : quelques principes Type de document : Article/Communication Auteurs : Anne Jolly, Auteur Année de publication : 2011 Article en page(s) : pp 19 - 31 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] classification
[Termes IGN] classification orientée objet
[Termes IGN] forêt
[Termes IGN] image à basse résolution
[Termes IGN] image à haute résolution
[Termes IGN] image à très haute résolution
[Termes IGN] image numérique
[Termes IGN] rayonnement électromagnétique
[Termes IGN] restauration d'imageRésumé : (auteur) Avant d’aborder en détail une série de cas concrets représentatifs des applications de la télédétection, Anne Jolly expose ici les connaissances et principes de base. L’article est un peu long mais il apporte pas à pas, illustrations à l’appui, une initiation bienvenue pour comprendre comment fonctionne la télédétection, ce qu’elle permet … et ne permet pas. Ceci étant, nous avons tout fait pour que chacun des articles de ce dossier puisse être lu indépendamment des autres. Numéro de notice : A2011-562 Affiliation des auteurs : IFN (1958-2011) Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74958
in Rendez-vous techniques > n° 31 (hiver 2011) . - pp 19 - 31[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité IFN-001-P001247 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Documents numériques
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A2011-562 télédétection_JollyAdobe Acrobat PDF A genetic algorithm approach to moving threshold optimization for binary change detection / J. Im in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)
[article]
Titre : A genetic algorithm approach to moving threshold optimization for binary change detection Type de document : Article/Communication Auteurs : J. Im, Auteur ; Zhong Lu, Auteur ; J. Jensen, Auteur Année de publication : 2011 Article en page(s) : pp 167 - 180 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme génétique
[Termes IGN] détection de changement
[Termes IGN] image Quickbird
[Termes IGN] seuillage d'imageRésumé : (Auteur) This study investigated the use of a genetic algorithm (GA) approach, a widely used optimization method, to identify optimum thresholds for remote sensing-based binary change detection. Automated GA-based calibration models using a moving threshold window (MTW) were developed and tested using a case study. Two sets of the bi-temporal QuickBird imagery were used to evaluate the new optimization models. The GA-based models using MTW were free from the assumption of symmetry of thresholds for difference- or ratio-type of change-enhanced images, unlike traditional binary change detection methods, allowing more flexibility and efficiency in selecting optimum thresholds. Exhaustive search techniques using symmetric threshold window (STW) and MTW were evaluated for comparison. The stability of the GA-based models in terms of accuracy variation was also examined. The GA-based calibration models successfully identified optimum thresholds without a significant decrease in accuracy. The GA-based models using MTW outperformed the GA-based model using STW in both calibration and validation, revealing that optimum thresholds tended to be asymmetric. Multiple change-enhanced images generally resulted in better performance than single change-enhanced images based on the GA-based models. Numéro de notice : A2011-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.2.167 En ligne : https://doi.org/10.14358/PERS.77.2.167 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30828
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 2 (February 2011) . - pp 167 - 180[article]Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method / Xuefei Hu in Geocarto international, vol 26 n° 1 (February 2011)
[article]
Titre : Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method Type de document : Article/Communication Auteurs : Xuefei Hu, Auteur ; Q. Weng, Auteur Année de publication : 2011 Article en page(s) : pp 3 - 20 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification floue
[Termes IGN] détection d'objet
[Termes IGN] extraction automatique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] Indianapolis
[Termes IGN] logique floue
[Termes IGN] milieu urbain
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] surface imperméable
[Termes IGN] villeRésumé : (Auteur) The study of impervious surfaces is crucial to the sustainable development of urban areas due to its strong impact on urban environments. Remotely sensed high-resolution imagery has the advantage of providing more spatial details; however, digital image processing algorithms have not been well developed to accommodate this advantage and other characteristics of such imagery. In this article, an object-based fuzzy classification approach for impervious surface extraction was developed and applied to two pan-sharpened multi-spectral IKONOS images covering the residential and central business district (CBD) areas of Indianapolis, Indiana, USA. Fuzzy rules based on spectral, spatial and texture attributes, were developed to extract impervious surfaces. An accuracy assessment was performed for the final maps. The results indicated that the spatial patterns of extracted features were in accordance with those in the original images and the boundaries of features were appropriately delineated. Impervious surfaces were extracted with an accuracy of 95% in the residential area and 92% in the CBD area. Road extraction achieved accuracy a bit lower, with 93% and 90% from the residential and CBD area, respectively. Buildings were extracted with an accuracy of 94% from the residential area while 89% from the CBD area. It is suggested that the CBD area had a higher spectral complexity, building displacement and the shadow problem, leading to a more difficult estimation and mapping of impervious surfaces. Numéro de notice : A2011-034 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.535616 Date de publication en ligne : 01/10/2010 En ligne : https://doi.org/10.1080/10106049.2010.535616 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30815
in Geocarto international > vol 26 n° 1 (February 2011) . - pp 3 - 20[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2011011 RAB Revue Centre de documentation En réserve L003 Disponible 2D change detection from satellite imagery: Performance analysis and impact of the spatial resolution of input images / Nicolas Champion (2011)PermalinkChange detection in a topographic building database using submetric satellite images / Arnaud Le Bris (2011)PermalinkDétection de changement 2D à partir d’imagerie satellitaire : Application à la mise à jour des bases de données géographiques / Nicolas Champion (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)PermalinkPermalinkPermalinkRecalage d'un nuage de points de scanner laser terrestre avec une image de bâtiment / Abdelhamid Bennis (2011)PermalinkPermalinkStochastic Geometry for Image Analysis, ch 9. Some applications to image processing: pattern recognition / shape recognition / Florent Lafarge (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)PermalinkMulti close-range image matching based on a self-adaptive triangle constraint / Q. Zhu in Photogrammetric record, vol 25 n° 132 (December 2010 - February 2011)PermalinkGeographic information system (GIS)-aided per-segment scene analysis of multi-temporal spaceborne synthetic aperture radar (SAR) series with application to urban areas / G. Trianni in International Journal of Remote Sensing IJRS, vol 31 n° 22 (November 2010)PermalinkUse of high-resolution satellite imagery in an integrated model to predict the distribution of shade coffee tree hybrid zones / C. Gomez in Remote sensing of environment, vol 114 n° 11 (15/11/2010)PermalinkMultiple Spectral–Spatial Classification Approach for Hyperspectral Data / Yuliya Tarabalka in IEEE Transactions on geoscience and remote sensing, vol 48 n° 11 (November 2010)PermalinkNoise-signal index threshold: a new noise-reduction technique for generation of reference spectra and efficient hyperspectral image classification / K. Kusuma in Geocarto international, vol 25 n° 7 (November 2010)PermalinkUnderstanding chorematic diagrams : towards a taxonomy / Andreas W. Reimer in Cartographic journal (the), vol 47 n° 4 (November 2010)PermalinkEffect of SRTM resolution on morphometric feature identification using neural network - self organizing map / A. Ehsani in Geoinformatica, vol 14 n° 4 (October 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)Permalink