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Contextual classification of point cloud data by exploiting individual 3d neigbourhoods / Martin Weinmann in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W4 (March 2015)
[article]
Titre : Contextual classification of point cloud data by exploiting individual 3d neigbourhoods Type de document : Article/Communication Auteurs : Martin Weinmann, Auteur ; A. Schmidt, Auteur ; Clément Mallet , Auteur ; Stefan Hinz, Auteur ; Franz Rottensteiner, Auteur ; Boris Jutzi, Auteur Année de publication : 2015 Conférence : ISPRS 2015, PIA 2015 - HRIGI 2015 Joint ISPRS conference 25/03/2015 27/03/2015 Munich Allemagne ISPRS OA Annals Article en page(s) : pp 271 - 278 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse d'image orientée objet
[Termes IGN] classification contextuelle
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] scène urbaine
[Termes IGN] semis de points
[Termes IGN] voisinage (relation topologique)
[Termes IGN] zone urbaineRésumé : (auteur) The fully automated analysis of 3D point clouds is of great importance in photogrammetry, remote sensing and computer vision. For reliably extracting objects such as buildings, road inventory or vegetation, many approaches rely on the results of a point cloud classification, where each 3D point is assigned a respective semantic class label. Such an assignment, in turn, typically involves statistical methods for feature extraction and machine learning. Whereas the different components in the processing workflow have extensively, but separately been investigated in recent years, the respective connection by sharing the results of crucial tasks across all components has not yet been addressed. This connection not only encapsulates the interrelated issues of neighborhood selection and feature extraction, but also the issue of how to involve spatial context in the classification step. In this paper, we present a novel and generic approach for 3D scene analysis which relies on (i) individually optimized 3D neighborhoods for (ii) the extraction of distinctive geometric features and (iii) the contextual classification of point cloud data. For a labeled benchmark dataset, we demonstrate the beneficial impact of involving contextual information in the classification process and that using individual 3D neighborhoods of optimal size significantly increases the quality of the results for both pointwise and contextual classification. Numéro de notice : A2015--052 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-W4-271-2015 Date de publication en ligne : 11/03/2015 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-W4-271-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82698
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 W4 (March 2015) . - pp 271 - 278[article]Documents numériques
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Contextual classification of point cloud data ... - pdf éditeurAdobe Acrobat PDF Characterization of neighborhood sensitivity of an irregular cellular automata model of urban growth / Khila R. Dahal in International journal of geographical information science IJGIS, vol 29 n° 3 (March 2015)
[article]
Titre : Characterization of neighborhood sensitivity of an irregular cellular automata model of urban growth Type de document : Article/Communication Auteurs : Khila R. Dahal, Auteur ; T. Edwin Chow, Auteur Année de publication : 2015 Article en page(s) : pp 475 - 497 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse de sensibilité
[Termes IGN] automate cellulaire
[Termes IGN] centroïde
[Termes IGN] croissance urbaine
[Termes IGN] dynamique spatiale
[Termes IGN] milieu urbain
[Termes IGN] parcelle cadastrale
[Termes IGN] simulation
[Termes IGN] système d'information géographique
[Termes IGN] Texas (Etats-Unis)
[Termes IGN] utilisation du sol
[Termes IGN] voisinage (relation topologique)
[Termes IGN] zone tamponRésumé : (Auteur) The neighborhood definition, which determines the influence on a cell from its nearby cells within a localized region, plays a critical role in the performance of a cellular automaton (CA) model. Raster CA models use a cellular grid to represent geographic space, and are sensitive to the cell size and neighborhood configuration. However, the sensitivity of vector-based CAs, an alternative to the raster-based counterpart, to neighborhood type and size remains uninvestigated. The present article reports the results of a detailed sensitivity analysis of an irregular CA model of urban land use dynamics. The model uses parcel data at the cadastral scale to represent geographic space, and was implemented to simulate urban growth in Central Texas, USA. Thirty neighborhood configurations defined by types and sizes were considered in order to examine the variability in the model outcome. Results from accuracy assessments and landscape metrics confirmed the model’s sensitivity to neighborhood configurations. Furthermore, the centroid intercepted neighborhood with a buffer of 120 m produced the most accurate simulation result. This neighborhood produced scattered development while the centroid extent-wide neighborhood resulted in a clustered development predominantly near the city center. Numéro de notice : A2015-585 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.987779 En ligne : https://doi.org/10.1080/13658816.2014.987779 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77872
in International journal of geographical information science IJGIS > vol 29 n° 3 (March 2015) . - pp 475 - 497[article]Modernization of the method of line-line intersection using RTN GNSS technology for determining the position of corners of buildings / Robert Krzyzek in Artificial satellites, vol 50 n° 1 (March 2015)
[article]
Titre : Modernization of the method of line-line intersection using RTN GNSS technology for determining the position of corners of buildings Type de document : Article/Communication Auteurs : Robert Krzyzek, Auteur Année de publication : 2015 Article en page(s) : pp 41 - 58 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Topographie
[Termes IGN] angle
[Termes IGN] bâtiment
[Termes IGN] intersection spatialeRésumé : (auteur) Carrying out measurements of buildings with RTN GNSS technology in difficult environmental conditions appears to be a major challenge for many surveyors. Achieving the required accuracy of the position of a building structure is often a difficult, and sometimes even an impossible task to perform. This paper presents an innovative solution to increase the reliability of determining the coordinates of building corners, by modernizing the results obtained from the indirect method of measurement of line-line intersection by the socalled half-angle method. Generally speaking, the half-angle method is to verify the angular values in determined points (corners of buildings) from the method of intersection of the base point lines. Optimization of this method involves reducing deformation of a building, which has been determined in real time, taking into account only the classical method of line-line intersection. In order to obtain optimized measurement results, the conversion of the obtained results to the convergent values relative to the most probable coordinates is performed. Based on a detailed comparative and statistical analyses, it can be concluded that the modernized method of line intersection, employed in the RTN GNSS mode with the half-angle method, greatly improves the reliability of determining corners of buildings (X and Y coordinates), as well as provides an exact reflection of the geometric shape of a structure. Numéro de notice : A2015-288 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1515/arsa-2015-0004 En ligne : https://doi.org/10.1515/arsa-2015-0004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76407
in Artificial satellites > vol 50 n° 1 (March 2015) . - pp 41 - 58[article]Rank-based strategies for cleaning inconsistent spatial databases / Nieves R. Brisaboa in International journal of geographical information science IJGIS, vol 29 n° 2 (February 2015)
[article]
Titre : Rank-based strategies for cleaning inconsistent spatial databases Type de document : Article/Communication Auteurs : Nieves R. Brisaboa, Auteur ; M. Andrea Rodríguez, Auteur ; Diego Seco, Auteur Année de publication : 2015 Article en page(s) : pp 280 - 304 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] cohérence des données
[Termes IGN] contrainte d'intégrité
[Termes IGN] données massives
[Termes IGN] efficacité
[Termes IGN] intégrité topologique
[Termes IGN] qualité des données
[Termes IGN] relation topologique
[Termes IGN] révision des donnéesRésumé : (Auteur) A spatial data set is consistent if it satisfies a set of integrity constraints. Although consistency is a desirable property of databases, enforcing the satisfaction of integrity constraints might not be always feasible. In such cases, the presence of inconsistent data may have a negative effect on the results of data analysis and processing and, in consequence, there is an important need for data-cleaning tools to detect and remove, if possible, inconsistencies in large data sets. This work proposes strategies to support data cleaning of spatial databases with respect to a set of integrity constraints that impose topological relations between spatial objects. The basic idea is to rank the geometries in a spatial data set that should be modified to improve the quality of the data (in terms of consistency). An experimental evaluation validates the proposal and shows that the order in which geometries are modified affects both the overall quality of the database and the final number of geometries to be processed to restore consistency. Numéro de notice : A2015-580 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.965711 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.965711 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77842
in International journal of geographical information science IJGIS > vol 29 n° 2 (February 2015) . - pp 280 - 304[article]Matching disparate geospatial datasets and validating matches using spatial logic / Heshan Du (2015)
Titre : Matching disparate geospatial datasets and validating matches using spatial logic Type de document : Thèse/HDR Auteurs : Heshan Du, Auteur ; Natasha Alechina, Directeur de thèse ; M.J. Jackson, Directeur de thèse Editeur : Nottingham : University of Nottingham Année de publication : 2015 Importance : 211 p. Note générale : Bibliographie
Thesis submitted to the University of Nottingham for the degree of Doctor of PhilosophyLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] appariement de données localisées
[Termes IGN] appariement géométrique
[Termes IGN] cartographie collaborative
[Termes IGN] cohérence des données
[Termes IGN] données localisées de référence
[Termes IGN] données localisées des bénévoles
[Termes IGN] données vectorielles
[Termes IGN] intégration de données
[Termes IGN] jeu de données localisées
[Termes IGN] ontologie
[Termes IGN] OpenStreetMap
[Termes IGN] Ordnance Survey (UK)
[Termes IGN] relation topologique
[Termes IGN] zone tamponRésumé : (auteur) In recent years, the emergence and development of crowd-sourced geospatial data has provided challenges and opportunities to national mapping agencies as well as commercial mapping organisations. Crowd-sourced data involves non-specialists in data collection, sharing and maintenance. Compared to authoritative geospatial data, which is collected by surveyors or other geodata professionals, crowd-sourced data is less accurate and less structured, but often provides richer user-based information and reflects real world changes more quickly at a much lower cost. In order to maximize the synergistic use of authoritative and crowd-sourced geospatial data, this research investigates the problem of how to establish and validate correspondences (matches) between spatial features from disparate geospatial datasets. To reason about and validate matches between spatial features, a series of new qualitative spatial logics was developed. Their soundness, completeness, decidability and complexity theorems were proved for models based on a metric space. A software tool `MatchMaps' was developed, which generates matches using location and lexical information, and verifies consistency of matches using reasoning in description logic and qualitative spatial logic. MatchMaps was evaluated by the author and experts from Ordnance Survey, the national mapping agency of Great Britain. In experiments, it achieved high precision and recall, as well as reduced human effort. The methodology developed and implemented in MatchMaps has a wider application than matching authoritative and crowd-sourced data and could be applied wherever it is necessary to match two geospatial datasets of vector data. Note de contenu : 1. Introduction
1.1. Research Question
1.2. Research Aim and Objectives
1.3. Contributions and Structure of the Thesis
2. Context of Research
2.1. Development of Crowd-sourced Geospatial Data
2.2. Quality of OpenStreetMap Data
2.3. Usability of OpenStreetMap Data
3. Litterature Review
3.1. Geospatial Data Matching
3.2. Ontology Matching
3.3. Spatial Logic
4. A Framework for Integrating Geospatial Datasets
4.1. Building up the Framework
4.2. Rationale of the Framework
4.3. MatchMaps: an Implemented System
5. Matching Spatial Features
5.1. Theoretical Basis for Matching Geometries
5.2. Matching Geometries
5.3. Matching Spatial Objects
6. Validating Matches using Description Logic
6.1. Description Logic ALCO
6.2. Validationg Terminology Matches using Description Logic
6.3. Validating Object Matches using Description Logic
7. A Logic of NEAR and FAR for Buffered Points
7.1. Syntax, Semantics and Axioms of LNF
7.2. Soundness and Completeness of LNF
7.3. Decidability and Complexity of LNF
7.4. Interpreting L(LNF) in R²
8. A Logic of NEAR and FAR for Buffered Geometries
8.1. Syntax, Semantics and Axioms of LNFS
8.2. Soundness and Completeness of LNFS
8.3. Decidability and Complexity of LNFS
8.4. Interpreting L(LNFS) in R²
9. A Logic of Part and Whole for Buffered Geometries
9.1. Syntax, Semantics and Axioms of LBPT
9.2. Soundness and Completeness of LBPT
9.3. Decidability and Complexity of LBPT
9.4. Interpreting L(LBPT) in R²
10. Validating Matches using Qualitative spatial Logic
10.1. Validating Matches using LNF, LNFS ans LBPT
10.2. Actions for Retracting Problematic Matches
11. Evaluation and Discussion
11.1. Developer Evaluation of MatchMaps
11.2. User Evaluation of MatchMaps
11.3. Discussion
12. Conclusion and Future Work
12.1. Conclusion
12.2. Future WorkNuméro de notice : 19794 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Thèse étrangère Note de thèse : PhD thesis : : Nottingham : 2015 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85041 Spatial-aware dictionary learning for hyperspectral image classification / Ali Soltani-Farani in IEEE Transactions on geoscience and remote sensing, vol 53 n° 1 (January 2015)PermalinkAnalyzing relatedness by toponym co-occurrences on web pages / Yu Liu in Transactions in GIS, vol 18 n° 1 (February 2014)PermalinkPréservation et modification des relations entre les données thématiques et les données topographiques lors de migration des données thématiques / Kusay Jaara in Cartes & Géomatique, n° 218 (décembre 2013)PermalinkQGIS 2 et SFCGAL 1 / Anonyme in Géomatique expert, n° 95 (01/11/2013)PermalinkDecentralized querying of topological relations between regions monitored by a coordinate-free geosensor network / Myeong-Hung Jeong in Geoinformatica, vol 17 n° 4 (October 2013)PermalinkVers une approche pluridisciplinaire des réseaux enterrés / Lucile Gimenez in XYZ, n° 135 (juin - août 2013)PermalinkTowards 3D lidar point cloud registration improvement using optimal neighborhood knowledge / Adrien Gressin in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkMulti-level representation of terrain features on a contour map / Eric Guilbert in Geoinformatica, vol 17 n° 2 (April 2013)PermalinkTopological gradient connection analysis for feature detection / Chao-Yuan Lo in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkTrajectories of moving objects on a network: detection of similarities, visualization of relations, and classification of trajectories / Yukio Sadahiro in Transactions in GIS, vol 17 n° 1 (February 2013)Permalink