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Titre : Change detection in lidar scans of urban environments Type de document : Thèse/HDR Auteurs : Alexandri Gregor Zavodny, Auteur Editeur : South bend [Indiana - Etats-Unis] : University of Notre Dame Année de publication : 2012 Importance : 146 p. Note générale : bibliographie
A dissertation submitted to the Graduate School of the University of Notre Dame in partial fulfillment of the requirements for the degree of doctor of PhilosophyLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme ICP
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] jeu de données localisées
[Termes IGN] Ransac (algorithme)
[Termes IGN] semis de pointsRésumé : (auteur) Light Detection and Ranging (LIDAR) is a popular tool for range sensing applications, with applications including environmental modeling and urban planning. Modern acquisition platforms facilitate data collection rates of over two billion points per hour, enabling the collection of massive datasets with ease. These datasets must typically undergo a large amount of processing before use, making maintenance a difficult issue. Additionally, the presence of transient objects can affect dataset quality, both as unwanted data and by obscuring the underlying surface model. In this dissertation, we present a framework for enabling automatic change detection between large LIDAR datasets of urban environments. For two large scale datasets, we extract the relevant portions using information about the paths of the acquisition vehicles. However, acquisition inaccuracies can result in subset misalignment of up to 10 meters. To correct for this, we utilize a variety of point cloud alignment techniques, including a novel point descriptor, to bring overlapping pieces of data into alignment. Given the properly aligned data, we then use novel hierarchical and point-based techniques to extract regions of change between the two datasets. These regions can then be extracted and presented for further processing or filtering. We present the results of our research executed on datasets totaling over 93 billion sample points. At over 1.5 terabytes in size, this represents by far the largest collection of ground-based LIDAR examined in the open literature. We quantify our results with a variety of objective metrics, investigate modes of failure, and recommend directions for future research. Numéro de notice : 17369 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : PhD thesis : Computer Science and Engineering : Notre Dame Indiana USA : 2012 DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84245 Documents numériques
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Change detection in lidar scansAdobe Acrobat PDFChange detection of trees in urban areas using multi-temporal airborne lidar point clouds / Wen Xiao (2012)
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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 Détection et identification de zones de végétation arborée: utilisation conjointe d'images satellite RapidEye et de données BDOrtho / François Tassin (2012)
Titre : Détection et identification de zones de végétation arborée: utilisation conjointe d'images satellite RapidEye et de données BDOrtho Type de document : Mémoire Auteurs : François Tassin, Auteur ; Arnaud Le Bris , Encadrant ; Clément Mallet
, Encadrant
Editeur : Lyon : Ecole Centrale de Lyon Année de publication : 2012 Importance : 48 p. Format : 21 x 30 cm Note générale : bibliographie
Rapport de Stage, Ecole Centrale LyonLangues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse discriminante
[Termes IGN] bande rouge
[Termes IGN] BD ortho
[Termes IGN] classificateur paramétrique
[Termes IGN] classification dirigée
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] détection d'arbres
[Termes IGN] extraction de la végétation
[Termes IGN] filtre de Gabor
[Termes IGN] forêt
[Termes IGN] image aérienne
[Termes IGN] image infrarouge couleur
[Termes IGN] image RapidEye
[Termes IGN] orthoimage couleur
[Termes IGN] peuplement végétal
[Termes IGN] texture d'imageRésumé : (auteur) La production des bases de données géographiques nationales par l'IGN repose en grande partie sur le travail de photo-interprètes. Le laboratoire MATIS poursuit des recherches pour automatiser partiellement certaines étapes de la chaine de production, notamment la saisie initiale des zones de végétation arborée. L'objet de cette étude est d'étudier l'apport du satellite RapidEye, utilisé conjointement avec les images aériennes produites par l'IGN, pour deux problématiques : la détection de la végétation arborée d'une part et la discrimination des types de peuplements d'autre part. L'étude repose sur l'utilisation des images satellite RapidEye (résolution 5m) et des images aériennes de l'IGN (résolution 50cm). Deux classifieurs sont comparés, un classifieur probabiliste (modélisation statistique de la radiométrie des différentes classes) développé en interne et les "Support Vector Machines". Plusieurs combinaisons de canaux radiométriques, d'indices de végétation et d'attributs texturaux sont étudiés et l'apport de la bande spectrale red edge est discuté. Il apparait que la détection de la végétation arborée est plus efficace quand les images RapidEye sont associées à des informations texturales obtenues grâce aux images aériennes, tandis que la discrimination des espèces est plus efficace avec les images satellite. Enfin des pistes de réflexion sur la possibilité de mise à jour automatique de la base de données sont aussi abordées. Note de contenu : Introduction
1 - Organisation de l'entreprise
2 - Présentation du stage
3 - Méthodologie
4 - Détection de la végétation arborée : séparation forêt/non-forêt
5 - Discrimination des Espèces
ConclusionNuméro de notice : 21687 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Rapport de stage Organisme de stage : MATIS (IGN) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90925 Documents numériques
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Diaporama présentation - pdf auteurAdobe Acrobat PDFModelling the Zn emissions from roofing materials at Créteil city scale : Defining a methodology / Emna Sellami-Kaaniche (2012)
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Titre : Modelling the Zn emissions from roofing materials at Créteil city scale : Defining a methodology Type de document : Article/Communication Auteurs : Emna Sellami-Kaaniche, Auteur ; Bernard de Gouvello, Auteur ; Arnaud Le Bris , Auteur ; Marie Christine Gromaire, Auteur ; Ghassan Chebbo, Auteur
Editeur : Paris : HAL Année de publication : 2012 Conférence : WWW-YES 2012, 12th edition of the World Wide Workshop for Young Environmental Scientists, Urban waters: resource or risks? 21/05/2012 25/05/2012 Arcueil France OA Proceedings Importance : pp 71 - 80 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification automatique
[Termes IGN] contamination
[Termes IGN] Créteil
[Termes IGN] orthoimage
[Termes IGN] ruissellement
[Termes IGN] segmentation d'image
[Termes IGN] toitRésumé : (auteur) Today, urban runoff is considered as an important source of environment pollution. Roofing materials, in particular the metallic ones are considered as a major source of urban runoff contamination. An accurate evaluation of contaminant flows from roofs is thus required at the city scale. This paper aims to describe the definition of an appropriate methodology for evaluating the zinc emission at the city scale. This methodology is based on combining two different methods. The first one is an automatic classification and the second one is a theoretical urban study site. In order to obtain representative data, the choice of the study site was based on the diversity of land use and the urban and social context. Finally some results and future works will be presented. Numéro de notice : C2012-033 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://hal.archives-ouvertes.fr/hal-00712160 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101241 Documents numériques
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Modelling the Zn emissions ... - pdf éditeurAdobe Acrobat PDF
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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