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Change detection of trees in urban areas using multi-temporal airborne lidar point clouds / Wen Xiao (2012)
Titre : Change detection of trees in urban areas using multi-temporal airborne lidar point clouds Type de document : Article/Communication Auteurs : Wen Xiao, Auteur ; Sudan Xu, Auteur ; Sander J. Oude Elberink, Auteur ; M. George Vosselman, Auteur Editeur : Washington : Society of Photo-Optical Instrumentation Engineers SPIE Année de publication : 2012 Conférence : SPIE 2012, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions Conference 24/09/2012 27/09/2012 Edimbourg Royaume-Uni Proceedings SPIE Importance : n° 853207 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection d'arbres
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] semis de points
[Termes IGN] zone urbaineRésumé : (auteur) Light detection and ranging (lidar) provides a promising way of detecting changes of vegetation in three dimensions (3D) because the beam of laser may penetrate through the foliage of vegetation. This study aims at the detection of changes in trees in urban areas with a high level of automation using mutil-temporal airborne lidar point clouds. Three datasets covering a part of Rotterdam, the Netherlands, have been classified into several classes including trees. A connected components algorithm was applied first to group the points of trees together. The attributes of components were utilized to differentiate tree components from misclassified non-tree components. A point based local maxima algorithm was implemented to distinguish single tree from multiple tree components. After that, the parameters of trees were derived through two independent ways: a point based method using 3D alpha shapes and convex hulls; and a model based method which fits a Pollock tree model to the points. Then the changes were detected by comparing the parameters of corresponding tree components which were matched by a tree to tree matching algorithm using the overlapping of bounding boxes and point to point distances. The results were visualized and statistically analyzed. The difference of parameters and the difference of changes derived from point based and model based methods were both lower than 10%. The comparison of these two methods illustrates the consistency and stability of the parameters. The detected changes show the potential to monitor the growth and pruning of trees. Numéro de notice : C2012-028 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1117/12.974266 Date de publication en ligne : 19/10/2012 En ligne : https://doi.org/10.1117/12.974266 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101192
Titre : Object-based interpretation methods for mapping built-up areas Type de document : Thèse/HDR Auteurs : Leena Matikainen, Auteur Editeur : Helsinki : Finnish Geodetic Institute FGI Année de publication : 2012 Collection : Publications of the Finnish Geodetic Institute, ISSN 0085-6932 num. 147 Importance : 83 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-711-293-2 Note générale : Bibliographie
Doctoral dissertation for the degree of Doctor of Science in TechnologyLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse d'image orientée objet
[Termes IGN] bâtiment
[Termes IGN] détection de changement
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image aérienne
[Termes IGN] image radar moirée
[Termes IGN] impulsion laser
[Termes IGN] occupation du sol
[Termes IGN] segmentation d'image
[Termes IGN] zone urbaineIndex. décimale : 30.60 Géodésie spatiale Résumé : (Auteur) There is a growing demand for high-quality spatial data and for efficient methods of updating spatial databases. In the present study, automated object-based interpretation methods were developed and tested for coarse land use mapping, detailed land cover and building mapping, and change detection of buildings. Various modern remotely sensed datasets were used in the study. An automatic classification tree method was applied to building detection and land cover classification to automate the development of classification rules. A combination of a permanent land cover classification test field and the classification tree method was suggested and tested to allow rapid analysis and comparison of new datasets. The classification and change detection results were compared with up-to-date map data or reference points to evaluate their quality. The combined use of airborne laser scanner data and digital aerial imagery gave promising results considering topographic mapping. In automated building detection using laser scanner and aerial image data, 96% of all buildings larger than 60 m2 were correctly detected. This accuracy level (96%) is compatible with operational quality requirements. In automated change detection, about 80% of all reference buildings were correctly classified. The overall accuracy of a land cover classification into buildings, trees, vegetated ground and non-vegetated ground using laser scanner and aerial image data was 97% compared with reference points. When aerial image data alone were used, the accuracy was 74%. A comparison between first pulse and last pulse laser scanner data in building detection was also carried out. The comparison showed that the use of last pulse data instead of first pulse data can improve the building detection results. The results yielded by automated interpretation methods could be helpful in the manual updating process of a topographic database. The results could also be used as the basis for further automated processing steps to delineate and reconstruct objects. The synthetic aperture radar (SAR) and optical satellite image data used in the study have their main potential in land cover monitoring applications. The coarse land use classification of a multitemporal interferometric SAR dataset into built-up areas, forests and open areas lead to an overall accuracy of 97% when compared with reference points. This dataset also appeared to be promising for classifying built-up areas into subclasses according to building density. Important topics for further research include more advanced interpretation methods, new and multitemporal datasets, optimal combinations of the datasets, and wider sets of objects and classes. From the practical point of view, work is needed in fitting automated interpretation methods in operational mapping processes and in further testing of the methods. Note de contenu : 1. INTRODUCTION
1.1 Background and motivation
1.2 Hypothesis
1.3 Objectives of the study
1.4 Structure and contribution of the study
2. LITERATURE REVIEW
2.1 General
2.2 Object-based image analysis
2.3 Classification trees
2.4 Mapping built-up areas using coherence and intensity from interferometric SAR images
2.5 Mapping buildings and land cover using laser scanner and aerial image data
2.5.1 Building detection
2.5.2 Land cover classification
2.6 Change detection of buildings using laser scanner and aerial image data
3. MATERIALS AND METHODS
3.1 Study areas and materials
3.2 Methods
3.2.1 Method development for mapping built-up areas
3.2.2 Quality evaluation
4. RESULTS
4.1 Mapping built-up areas using a multitemporal interferometric SAR dataset
4.1.1 Land use classification
4.1.2 Further analysis of built-up areas
4.2 Building detection using laser scanner and aerial image data
4.3 Change detection of buildings
4.4 Land cover mapping using classification trees, test field points, and various input datasets
5. DISCUSSION
5.1 Methods developed for mapping built-up areas
5.2 Quality of the results
5.3 Feasibility of the methods for practical mapping applications
5.4 Other studies and developments
5.5 Further research
6. SUMMARY AND CONCLUSIONSNuméro de notice : 14649 Affiliation des auteurs : non IGN Autre URL associée : URL page Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : Doctoral thesis : Technology : Aalto University : 2012 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62677 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 14649-01 33.60 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Documents numériques
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14649_dissert_fgi_object-based_interpretation_methods_matikainen.pdfAdobe Acrobat PDF Clustering of detected changes in high-resolution satellite imagery using a stabilized competitive agglomeration algorithm / O. Sjahputera in IEEE Transactions on geoscience and remote sensing, vol 49 n° 12 Tome 1 (December 2011)
[article]
Titre : Clustering of detected changes in high-resolution satellite imagery using a stabilized competitive agglomeration algorithm Type de document : Article/Communication Auteurs : O. Sjahputera, Auteur ; G. Scott, Auteur ; B. Claywell, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 4687 - 4703 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse de groupement
[Termes IGN] chevauchement
[Termes IGN] classification floue
[Termes IGN] dalle
[Termes IGN] détection de changement
[Termes IGN] image à haute résolution
[Termes IGN] mosaïque d'imagesRésumé : (Auteur) The Geospatial Change Detection and exploitation (GeoCDX) is a fully automated system for detection and exploitation of change between multitemporal high-resolution satellite and airborne images. Overlapping multitemporal images are first organized into 256 m x 256 m tiles in a global grid reference system. The system quantifies the overall amount of change in a given tile with a tile change score as an aggregation of pixel-level changes. The tiles are initially ranked by these change scores for retrieval, review, and exploitation in a Web-based application. However, the ranking does not account for the wide variety of change types that are typically observed in the top-ranked change tiles. To automatically organize the wide variety of change patterns observed in multitemporal high-resolution imagery, we perform tile clustering using the competitive agglomeration (CA) algorithm stabilized using the fuzzy c-means (FCM) algorithm. Each resulting cluster contains tiles with a visually similar type of change. By visual inspection of these tile clusters, GeoCDX users can quickly find certain types of change without having to sift through a large number of tiles initially organized solely by their tile change score, thereby reducing the time it takes for users to discover and exploit the change pattern(s) of greatest interest to a given application (e.g., urban growth, disaster assessment, facility monitoring, etc.). The tile clusters also provide a high-level overview of the various types of change that occur between the two observations. This overview is compared with a similar yet more limited view offered by a relevance feedback tool that requires a user to select sample tiles for use as samples in the reranking process. Numéro de notice : A2011-477 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2152847 Date de publication en ligne : 22/12/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2152847 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31371
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 12 Tome 1 (December 2011) . - pp 4687 - 4703[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2011121A RAB Revue Centre de documentation En réserve L003 Disponible Ondelettes et théorie des évidences pour la classification orientée-objet : Caractérisation et suivi des changements d’occupation des sols de la métropole de Rennes / A. Lefebvre in Revue internationale de géomatique, vol 21 n° 3 (septembre - novembre 2011)
[article]
Titre : Ondelettes et théorie des évidences pour la classification orientée-objet : Caractérisation et suivi des changements d’occupation des sols de la métropole de Rennes Type de document : Article/Communication Auteurs : A. Lefebvre, Auteur ; Thomas Corpetti, Auteur ; Laurence Hubert-Moy, Auteur Année de publication : 2011 Article en page(s) : pp 297 - 325 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] caractérisation
[Termes IGN] changement d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] classification orientée objet
[Termes IGN] détection de changement
[Termes IGN] luminance lumineuse
[Termes IGN] métropole
[Termes IGN] périphérie urbaine
[Termes IGN] Rennes
[Termes IGN] texture d'image
[Termes IGN] théorie de Dempster-Shafer
[Termes IGN] transformation en ondelettesRésumé : (Auteur) L’étude des changements d’occupation et d’utilisation des sols à une échelle locale par télédétection repose sur des méthodes de classification nécessitant une forte intervention des opérateurs, ce qui limite fortement leur transposabilité. Cet article présente une méthode de classification orientée objet basée sur une analyse en ondelettes et la théorie des évidences de Dempster-Shafer. L’objectif de ce travail est de développer une méthode de classification simple à utiliser reposant sur un critère de classification unique déterminé à partir de mesures de luminance et de texture. La méthode a été appliquée sur des images à très haute résolution spatiale afin de caractériser et quantifier des changements d’occupation du sol en milieu périurbain. Cette application met en évidence la transposabilité de la méthode sur différents types d’images de télédétection et son utilité dans le cadre d’études de détection de changements. Numéro de notice : A2011-395 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3166/rig.21.297-325 En ligne : https://doi.org/10.3166/rig.21.297-325 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31174
in Revue internationale de géomatique > vol 21 n° 3 (septembre - novembre 2011) . - pp 297 - 325[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 047-2011031 RAB Revue Centre de documentation En réserve L003 Disponible Multitemporal laser scanner-based observation of the Mt. Vesuvius crater: Characterization of overall geometry and recognition of landslide events / Arianna Pesci in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)
[article]
Titre : Multitemporal laser scanner-based observation of the Mt. Vesuvius crater: Characterization of overall geometry and recognition of landslide events Type de document : Article/Communication Auteurs : Arianna Pesci, Auteur ; Giordano Teza, Auteur ; P. De Martino, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 327 - 336 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse diachronique
[Termes IGN] caldeira
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] effondrement de terrain
[Termes IGN] éruption volcanique
[Termes IGN] Italie
[Termes IGN] photogrammétrie terrestre
[Termes IGN] surveillance géologique
[Termes IGN] télémétrie laser terrestre
[Termes IGN] Vésuve (volcan)
[Termes IGN] volcanRésumé : (Auteur) Results of observations of the Mt. Vesuvius caldera, carried out by means of terrestrial laser scanning (TLS) in May 2005, October 2006 and June 2009, are reported here. In each survey the whole crater was acquired with 17/20 scans from 6 different viewpoints and the corresponding digital surface models were generated and registered into the UTM-WGS84 reference frame. In this way, a comparison between the multitemporal models leads to an evaluation of the occurred changes. The deformation maps, i.e. the contouring plots of the differences between the models along the direction of maximum variations, showed a progressive mass loss due to rock-falls from the NE vertical crater wall whose area was about 5000m2. The TLS data also showed the accumulation at the bottom. The volume loss which occurred from 2005 to 2009, was computed by subtraction of volumes defined with respect to reference planes parallel to the caldera walls and was estimated to be 20300m3. The volume uncertainties due to registration errors, subsampling noise effects, and effects due to choice of the reference plane, were also estimated. Some results were also interpreted on the basis of micro-seismic and meteorological data in order to plan a monitoring technique where seismic signals related to rock-fall and/or signals of intense rainfalls are used as alarms for fast TLS surveys able to characterize the corresponding changes of the caldera walls. The proposed methodology, in particular the simple but effective approach used in the estimation of volume uncertainties, can be applied to each rock slope instability phenomenon, regardless of the particular environment. Numéro de notice : A2011-115 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.12.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30895
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 3 (May - June 2011) . - pp 327 - 336[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011031 SL Revue Centre de documentation Revues en salle Disponible Historical land use as a feature for image classification / Jorge Abel Recio in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 4 (April 2011)PermalinkQualitative change detection using sensor networks based on connectivity information / J. Jiang in Geoinformatica, vol 15 n° 2 (April 2011)PermalinkReducing mis-registration and shadow effects on change detection in wetlands / Jinxia Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 4 (April 2011)PermalinkA 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)Permalink2D 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)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)PermalinkEffect of SRTM resolution on morphometric feature identification using neural network - self organizing map / A. Ehsani in Geoinformatica, vol 14 n° 4 (October 2010)PermalinkApplication of remote sensing and geographic information system in change detection of the Netravati and Gurpur river channels, Karnataka, India / A. Kumar in Geocarto international, vol 25 n° 5 (August 2010)PermalinkRule-based classification of a very high resolution image in an urban environment using multispectral segmentation by cartographic data / M. Bouziani in IEEE Transactions on geoscience and remote sensing, vol 48 n° 8 (August 2010)PermalinkSemisupervised one-class support vector machine for classification of remote sensing data / Jordi Munoz-Mari in IEEE Transactions on geoscience and remote sensing, vol 48 n° 8 (August 2010)Permalink2D building change detection from high resolution satellite imagery: A two-step hierarchical method based on 3D invariant primitives / Nicolas Champion in Pattern recognition letters, vol 31 n° 10 (15 July 2010)Permalinkvol 31 n° 13 - July /2010 - Special issue : Satellite observations of the Wenchuan earthquake of 12 may 2008 (Bulletin de International Journal of Remote Sensing IJRS) / Ranjit SinghPermalinkAn object-based conceptual framework and computational method for representing and analyzing coastal morphological changes / H. Liu in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)PermalinkMonitoring oil production facilities using radar coherent change detection / D. Holcomb in Geoinformatics, vol 13 n° 5 (01/07/2010)PermalinkA volumetric approach to change in satellite images / T. Pollard in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 7 (July 2010)PermalinkDetection of roadway sign condition changes using multi-scale sign image matching (M-SIM) / Y.J. Tsai in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 4 (April 2010)PermalinkLand use and land cover change detection using satellite remote sensing techniques in the mountainous Three Gorges Area, China / Z. Chen in International Journal of Remote Sensing IJRS, vol 31 n° 6 (March 2010)PermalinkSampling approaches for one-pass land-use/land-cover change mapping / Zhi Huang in International Journal of Remote Sensing IJRS, vol 31 n° 6 (March 2010)Permalink