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Titre : Tree species classification with multiple source remote sensing data Type de document : Thèse/HDR Auteurs : Eetu Puttonen, Auteur ; Juha Hyyppä, Directeur de thèse Editeur : Helsinki : Finnish Geodetic Institute FGI Année de publication : 2012 Collection : Publications of the Finnish Geodetic Institute, ISSN 0085-6932 num. 145 Importance : 86 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-711-289-5 Note générale : Doctoral dissertation University of Helsinki, Faculty of Science, Department of Physics, geophysics and astronomy Finnish Geodetic Institute, Department of Photogrammetry and Remote Sensing
ISBN du pdfLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse discriminante
[Termes IGN] arbre (flore)
[Termes IGN] capteur hyperspectral
[Termes IGN] classification
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] espèce végétale
[Termes IGN] fusion de données
[Termes IGN] image spectrale
[Termes IGN] semis de pointsRésumé : (auteur) Remote sensing is a study that provides information on targets of interest without direct interaction with them. Generally, the term is used for measurement techniques that detect electro-magnetic radiation emitted or reflected from the targets.
Commonly used wavelength ranges include visible, infra-red, microwaves, and thermal bands. This information can be exploited to determine the structural and spectral properties of targets. Remote sensing techniques are typically utilized in mapping solutions, environment monitoring, target recognition, change detection, and in creation of physical models.
In Finland, remote sensing research is of specific importance in forest sciences and industry as they need precise information on tree quantity and quality over large forest ranges. Tree species information on individual tree level is an important parameter to achieve this goal.
The aim of this thesis is to study how individual tree species information can be extracted with multiple source remote sensing data. The aim is achieved by combining spatial and spectral remote sensing data. Structural properties of individual trees are determined from three dimensional point clouds collected with laser scanners. Spectral properties of trees are collected with cameras or spectrometers.
The thesis consists of four separate studies. The first study examined how shading information of trees canopies could be exploited to improve tree species classification in data collected with airborne sensors. The second study examined the classification performance of a low-cost, multi-sensor, mobile mapping system. The third study investigated the classification performance and accuracy of a novel, active hyperspectral laser scanner. Finally, the fourth study evaluated the suitability of artificial surfaces as on-site intensity calibration targets.
The results of the three classification studies showed that the use of combined point cloud and spectral information yielded the best classification results in all study cases when compared against classification results obtained with only structural or spectral information. Moreover, the studies showed that the improved results could be achieved with a low total number of mixed structural and spectral classification parameters. The fourth study showed that the artificial surfaces work as calibration surfaces only in limited cases.
The main outcome of the thesis was that the active remote sensing systems measuring multiple wavelengths simultaneously should be promoted. They have a significant potential to improve tree species classification performance even with a few application-specific wavelengths.Numéro de notice : 15863 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Thèse étrangère Note de thèse : Doctoral dissertation : Photogrammetry and Remote Sensing : University of Helsinki : 2012 En ligne : http://hdl.handle.net/10138/33956 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93650 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)
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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 Robert Moffrat, Jr and his "Map of South Eastern Africa, 1848-51": Cartography in a time of uncertainty / Norman Etherington in Cartes & Géomatique, n° 210 (décembre 2011)
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Titre : Robert Moffrat, Jr and his "Map of South Eastern Africa, 1848-51": Cartography in a time of uncertainty Type de document : Article/Communication Auteurs : Norman Etherington, Auteur Année de publication : 2011 Article en page(s) : pp 163 - 173 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie ancienne
[Termes IGN] Afrique (géographie historique)
[Termes IGN] analyse discriminante
[Termes IGN] carte thématique
[Termes IGN] cartographie ancienne
[Termes IGN] dix-neuvième siècle
[Termes IGN] géopolitique
[Termes IGN] histoire
[Termes IGN] période colonialeRésumé : (Auteur) La carte créée par Robert Moffat Junior durant les années 1848-1851 présente un exemple très rare de stratégie cartographique dans une région où la souveraineté est incertaine. Après l'annexion britannique, le territoire connu sous le nom de « Orange River Sovereignty » a besoin de nouvelles cartes. Fils d'un missionnaire de renom, Moffat dresse une carte mettant l'accent sur les intérêts des chefs africains alors qu'elle ignore presque complètement la présence des Boers blancs. Cette carte traite aussi de politique linguistique et religieuse. Après l'abandon de ce territoire, le nouveau gouvernement des Boers inverse la politique de Moffat, imposant la langue Afrikaans et supprimant la souveraineté des Africains indigènes. Numéro de notice : A2011-510 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : http://www.lecfc.fr/new/articles/210-article-12.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31404
in Cartes & Géomatique > n° 210 (décembre 2011) . - pp 163 - 173[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 021-2011041 RAB Revue Centre de documentation En réserve L003 Disponible Pixel unmixing in hyperspectral data by means of neural networks / Giorgio Licciardi in IEEE Transactions on geoscience and remote sensing, vol 49 n° 11 Tome 1 (November 2011)
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Titre : Pixel unmixing in hyperspectral data by means of neural networks Type de document : Article/Communication Auteurs : Giorgio Licciardi, Auteur ; F. Del Frate, Auteur Année de publication : 2011 Article en page(s) : pp 4163 - 4172 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse en composantes principales
[Termes IGN] classification par réseau neuronal
[Termes IGN] image AHS
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] image PROBA-CHRIS
[Termes IGN] réduction géométrique
[Termes IGN] test de performanceRésumé : (Auteur) Neural networks (NNs) are recognized as very effective techniques when facing complex retrieval tasks in remote sensing. In this paper, the potential of NNs has been applied in solving the unmixing problem in hyperspectral data. In its complete form, the processing scheme uses an NN architecture consisting of two stages: the first stage reduces the dimension of the input vector, while the second stage performs the mapping from the reduced input vector to the abundance percentages. The dimensionality reduction is performed by the so-called autoassociative NNs, which yield a nonlinear principal component analysis of the data. The evaluation of the whole performance is carried out for different sets of experimental data. The first one is provided by the Airborne Hyperspectral Scanner. The second set consists of images from the Compact High-Resolution Imaging Spectrometer on board the Project for On-Board Autonomy satellite, and it includes multiangle and multitemporal acquisitions. The third set is represented by Airborne Visible/InfraRed Imaging Spectrometer measurements. A quantitative performance analysis has been carried out in terms of effectiveness in the dimensionality reduction phase and in terms of the accuracy in the final estimation. The results obtained, when compared with those produced by appropriate benchmark techniques, show the advantages of this approach. Numéro de notice : A2011-445 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2160950 Date de publication en ligne : 01/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2160950 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31223
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 11 Tome 1 (November 2011) . - pp 4163 - 4172[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2011111A RAB Revue Centre de documentation En réserve L003 Disponible Spatial patterns and eco-epidemiological systems – part 1: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors / Emmanuel Roux in Geospatial Health, vol 6 n° 1 (November 2011)
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Titre : Spatial patterns and eco-epidemiological systems – part 1: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors Type de document : Article/Communication Auteurs : Emmanuel Roux, Auteur ; Annamaria de Fátima Venâncio, Auteur ; Jean-François Girres , Auteur ; Christine A. Romaña, Auteur Année de publication : 2011 Article en page(s) : pp 41 - 51 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse en composantes principales
[Termes IGN] autocorrélation spatiale
[Termes IGN] Bahia (Brésil)
[Termes IGN] épidémie
[Termes IGN] Insecta
[Termes IGN] maladie parasitaire
[Termes IGN] matriceRésumé : (auteur) Studies that explicitly and specifically take into account the spatial dimension within the study of eco-epidemiological systems remain rare. Our approach of modelling the spatial and/or temporal properties of the entomological and/or epidemiological data before their mapping with possible explanatory variables, objectively underline the significant patterns at different scales. The domiciliary and peri-domiciliary presence and abundance of juvenile and adult vectors of the Chagas disease (Triatoma sordida and Panstrongylus geniculatus) in Bahia state in northeast Brazil, has been modelled by automatically identifying significant multi-scale spatial patterns of the entomological data by the application and adaptation of the spatial modelling methodology proposed by Dray et al. (2006) and based on principal coordinate analysis of neighbour matrices. We found that entomological data can be modelled by a set of eigenvectors that present a significant Moran’s I index of spatial autocorrelation. The models for juvenile and adult vectors are defined by 28 and 32 eigenvectors that explain 82.3% and 79.9%, respectively, of the total data variances. The results support insect presence as the outcome both of a local scale “near-to-near” dispersal and an infestation from the wild, surrounding environment that produces a higher insect density at the village periphery. Numéro de notice : A2011-605 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.4081/gh.2011.156 Date de publication en ligne : 01/11/2011 En ligne : https://doi.org/10.4081/gh.2011.156 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91682
in Geospatial Health > vol 6 n° 1 (November 2011) . - pp 41 - 51[article]Spatial patterns and eco-epidemiological systems – part 2: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors / Emmanuel Roux in Geospatial Health, vol 6 n° 1 (November 2011)PermalinkSingular spectrum analysis of global mean sea level variations / S. Khelifa in Bulletin des sciences géographiques, n° 26 (octobre 2011)PermalinkEmpirical comparison of full-waveform Lidar algorithms: range extraction and discrimination performance / C. Parrish in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 8 (August 2011)PermalinkApproche géosémantique intégrée pour les cubes évolutifs de données géospatiales / Mohamed Bakillah in Revue internationale de géomatique, vol 21 n° 1 (mars – mai 2011)PermalinkElectromagnetic land surface classification through integration of optical and radar remote sensing data / J. Baek in IEEE Transactions on geoscience and remote sensing, vol 49 n° 4 (April 2011)PermalinkAnalyse spatiale de l'information géographique / R. Caloz (2011)PermalinkComputational method for the point cluster analysis on networks / K. Sugihara in Geoinformatica, vol 15 n° 1 (January 2011)PermalinkPermalinkDonnées géographiques / Pierre Dumolard (2011)PermalinkA framework for regional association rule mining and scoping in spatial datasets / W. Ding in Geoinformatica, vol 15 n° 1 (January 2011)Permalink