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Termes IGN > géomatique > base de données localisées > couche thématique > occupation du sol
occupation du sol
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Espace, organisation de l' Utilisation du sol Politique foncière Sol, Occupation du Sols -- Utilisation Sols -- Utilisation Terrains -- Utilisation Terrains, Utilisation des Utilisation du sol Espace (économie politique) >> Aménagement du territoire Paysage -- Évaluation Syndrome NIMBY >>Terme(s) spécifique(s) : Améliorations foncières Cadastres Décharges contrôlées Immobilier Photographie aérienne en utilisation du sol Politique forestière Promotion immobilière Propriété foncière Propriété immobilière -- Acquisition par l'Administration Terres publiques Zones d'aménagement différé Equiv. LCSH : Land use Domaine(s) : 330 |
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A genetic fuzzy-rule-based classifier for land cover classification from hyperspectral imagery / Dimitris G. Stavrakoudis in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
[article]
Titre : A genetic fuzzy-rule-based classifier for land cover classification from hyperspectral imagery Type de document : Article/Communication Auteurs : Dimitris G. Stavrakoudis, Auteur ; G. Galidaki, Auteur ; Ioannis Z. Gitas, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 130 - 148 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification par algorithme génétique
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] occupation du solRésumé : (Auteur) This paper proposes the use of a genetic fuzzy-rule-based classification system for land cover classification from hyperspectral images. The proposed classifier, namely, Feature Selective Linguistic Classifier, is constructed through a three-stage learning process. The first stage produces a preliminary fuzzy rule base in an iterative fashion. During this stage, a local feature selection scheme is employed, designed to guide the genetic evolution, through the evaluation of deterministic information about the relevance of each feature with respect to its classification ability. The structure of the model is then simplified in a subsequent postprocessing stage. The performance of the classifier is finally optimized through a genetic tuning stage. An extensive comparative analysis, using an Earth Observing-1 Hyperion satellite image, highlights the quality advantages of the proposed system, when compared with nonfuzzy classifiers, commonly employed in hyperspectral classification tasks. Numéro de notice : A2012-032 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2159613 Date de publication en ligne : 29/07/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2159613 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31480
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 130 - 148[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012011 RAB Revue Centre de documentation En réserve L003 Disponible Laplacian eigenmaps-based polarimetric dimensionality reduction for SAR image classification / S.T. Tu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
[article]
Titre : Laplacian eigenmaps-based polarimetric dimensionality reduction for SAR image classification Type de document : Article/Communication Auteurs : S.T. Tu, Auteur ; J.H. Chen, Auteur ; W. Yang, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 170 - 179 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] image radar moirée
[Termes IGN] occupation du sol
[Termes IGN] polarimétrie radarRésumé : (Auteur) In this paper, we propose a novel scheme of polarimetric synthetic aperture radar (PolSAR) image classification. We apply Laplacian eigenmaps (LE), a nonlinear dimensionality reduction (NDR) technique, to a high-dimensional polarimetric feature representation for PolSAR land-cover classification. A wide variety of polarimetric signatures are chosen to construct a high-dimensional polarimetric manifold which can be mapped into the most compact low-dimensional structure by manifold-based dimensionality reduction techniques. This NDR technique is employed to obtain a low-dimensional intrinsic feature vector by the LE algorithm, which is beneficial to PolSAR land-cover classification owing to its local preserving property. The effectiveness of our PolSAR land-cover classification scheme with LE intrinsic feature vector is demonstrated with the RadarSat-2 C-band PolSAR data set and the 38th Research Institute of China Electronics Technology Group Corporation X-band PolInSAR data set. The performance of our method is measured by the separability in the feature space and the accuracy of classification. Comparisons on the feature space show that the LE intrinsic feature vector is more separable than different original feature vectors. Our LE intrinsic feature vector also improves the classification accuracy. Numéro de notice : A2012-033 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2168532 Date de publication en ligne : 26/10/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2168532 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31481
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 170 - 179[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012011 RAB Revue Centre de documentation En réserve L003 Disponible
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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Titre : Remote sensing of planet earth Type de document : Monographie Auteurs : Yann Chemin, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2012 Importance : 252 p. Format : 18 x 26 cm ISBN/ISSN/EAN : 978-953-51-4940-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] classification dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] distribution spatiale
[Termes IGN] géomorphologie
[Termes IGN] image satellite
[Termes IGN] neige
[Termes IGN] occupation du sol
[Termes IGN] surveillance géologique
[Termes IGN] système d'information géographiqueRésumé : (éditeur) Monitoring of water and land objects enters a revolutionary age with the rise of ubiquitous remote sensing and public access. Earth monitoring satellites permit detailed, descriptive, quantitative, holistic, standardized, global evaluation of the state of the Earth skin in a manner that our actual Earthen civilization has never been able to before. The water monitoring topics covered in this book include the remote sensing of open water bodies, wetlands and small lakes, snow depth and underwater seagrass, along with a variety of remote sensing techniques, platforms, and sensors. The Earth monitoring topics include geomorphology, land cover in arid climate, and disaster assessment after a tsunami. Finally, advanced topics of remote sensing covers atmosphere analysis with GNSS signals, earthquake visual monitoring, and fundamental analyses of laser reflectometry in the atmosphere medium. Note de contenu : 1- On the Use of Airborne Imaging Spectroscopy Data for the Automatic Detection and Delineation of Surface Water Bodies
2- Remote Sensing for Mapping and Monitoring Wetlands and Small Lakes in Southeast Brazil
3- Satellite-Based Snow Cover Analysis and the Snow Water Equivalent Retrieval Perspective over China
4- Seagrass Distribution in China with Satellite Remote Sensing
5- The Use of Remote Sensed Data and GIS to Produce a Digital Geomorphological Map of a Test Area in Central Italy
6- Analysis of Land Cover Classification in Arid Environment: A Comparison Performance of Four Classifiers
7- Application of Remote Sensing for Tsunami Disaster
8- GNSS Signals: A Powerful Source for Atmosphere and Earth’s Surface Monitoring
9- Acceleration Visualization Marker Using Moiré Fringe for Remote Sensing
10- Looking at Remote Sensing the Timing of an Organisation's Point of View and the Anticipation of Today's ProblemsNuméro de notice : 25880 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/2291 En ligne : https://doi.org/10.5772/2291 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95735 Development of a modified neural network-based land cover classification system using automated data selector and multiresolution remotely sensed data / S. Khorram in Geocarto international, vol 26 n° 6 (October 2011)
[article]
Titre : Development of a modified neural network-based land cover classification system using automated data selector and multiresolution remotely sensed data Type de document : Article/Communication Auteurs : S. Khorram, Auteur ; H. Yuan, Auteur ; F. Van Der Wiele, Auteur Année de publication : 2011 Article en page(s) : pp 435 - 457 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse multirésolution
[Termes IGN] carte de Kohonen
[Termes IGN] classification par réseau neuronal
[Termes IGN] données multicapteurs
[Termes IGN] fusion d'images
[Termes IGN] image Landsat-TM
[Termes IGN] image SPOT
[Termes IGN] occupation du sol
[Termes IGN] Perceptron multicouche
[Termes IGN] précision de la classificationRésumé : (Auteur) Integrating multiple images with artificial neural networks (ANN) improves classification accuracy. ANN performance is sensitive to training datasets. Complexity and errors compound when merging multiple data, pointing to needs for new techniques. Kohonen's self-organizing mapping (KSOM) neural network was adapted as an automated data selector (ADS) to replace manual training data processes. The multilayer perceptron (MLP) network was then trained using automatically extracted datasets and used for classification. Two hypotheses were tested: ADS adapted from the KSOM network provides adequate and reliable training datasets, improving MLP classification performance; and fusion of Landsat Thematic Mapper (TM) and SPOT images using the modified ANN approach increases accuracy. ADS adapted from the KSOM network improved training data quality and increased classification accuracy and efficiency. Fusion of compatible multiple data can improve performance if appropriate training datasets are collected. This proved to be a viable classification scheme particularly where acquiring sufficient and reliable training datasets is difficult. Numéro de notice : A2011-402 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.600462 Date de publication en ligne : 10/08/2011 En ligne : https://doi.org/10.1080/10106049.2011.600462 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31181
in Geocarto international > vol 26 n° 6 (October 2011) . - pp 435 - 457[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2011061 RAB Revue Centre de documentation En réserve L003 Disponible vol 65 n° 3 - September 2011 (Bulletin de Geomatica) / Canadian institute of geomatics = Association canadienne des sciences géomatiques (Canada)PermalinkAnalyse spatiale de la dynamique de l’occupation du sol aux échelles de la parcelle et de l’îlot parcellaire : Application en paysage agricole bocager / C. Vannier in Revue internationale de géomatique, vol 21 n° 3 (septembre - novembre 2011)PermalinkÉclairer le choix des outils de simulation des changements des modes d’occupation et d’usages des sols : Une approche comparative / J. Mas in Revue internationale de géomatique, vol 21 n° 3 (septembre - novembre 2011)PermalinkElaboration d'une orthophoto historique sur l'ensemble de la Suisse / L. Berset in Géomatique suisse, vol 109 n° 9 (01/09/2011)PermalinkSoil landscapes of Canada: Building a national framework for environmental information / P. Schut in Geomatica, vol 65 n° 3 (September 2011)PermalinkDes structures paysagères à la dynamique des feux : Essai de typologie régionale des campagnes pyrophiles de l’ouest du Burkina Faso / S. Caillault in Revue internationale de géomatique, vol 21 n° 3 (septembre - novembre 2011)PermalinkUse of geo-spatial information and technologies for analyzing morphological changes in the Greater Visakhapatnal coastal region east coast of India / P. Latha in Geocarto international, vol 26 n° 5 (August 2011)PermalinkApplications de télédétection en Guyane : une histoire de diversité / Pierre Joubert in Rendez-vous techniques, n° 32 (printemps 2011)PermalinkCAPIGI [Community on Agricultural Policy Implementation and GeoInformation] 2011 : geomatics and agriculture / E. Van Rees in Geoinformatics, vol 14 n° 4 (01/06/2011)PermalinkUne micro-histoire de la Terre et de l'utilisation des ressources : l'intégration des SIG-H (Systèmes d'information géographique historiques) et des données qui y sont liées en Bourgogne du sud / S. Madry in Le monde des cartes, n° 208 (juin 2011)Permalink