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Joint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring / E. Lehmann in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
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Titre : Joint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring Type de document : Article/Communication Auteurs : E. Lehmann, Auteur ; P. Caccetta, Auteur ; Z.S. Zhou, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 55 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse discriminante
[Termes IGN] carte de la végétation
[Termes IGN] forêt équatoriale
[Termes IGN] fusion d'images
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image Landsat-TM
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] surveillance forestière
[Termes IGN] TasmanieRésumé : (Auteur) Recent technological advances in the field of radar remote sensing have allowed the deployment of an increasing number of new satellite sensors. These provide an important source of Earth observation data, which add to the currently existing optical data sets. In parallel, the development of robust methods for global forest monitoring and mapping is becoming increasingly important. As a consequence, there is significant interest in the development of global monitoring systems that are able to take advantage of the potential synergies and complementary nature of optical and radar data. This paper proposes an approach for the combined processing of Landsat and ALOS-PALSAR data for the purpose of forest mapping and monitoring. This is achieved by incorporating the PALSAR data into an existing operational Landsat-based processing system. Using a directed discriminant technique, a probability map of forest presence/absence is first generated from the PALSAR imagery. This SAR classification data is then combined with a time series of similar Landsat-based maps within a Bayesian multitemporal processing framework, leading to the production of a time series of joint radar-optical maps of forest extents. This approach is applied and evaluated over a pilot study area in northeastern Tasmania, Australia. Experimental outcomes of the proposed joint processing framework are provided, demonstrating its potential for the integration of different types of remote sensing data for forest monitoring purposes. Numéro de notice : A2012-031 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2171495 Date de publication en ligne : 14/11/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2171495 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31479
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 55 - 67[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)
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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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14649_dissert_fgi_object-based_interpretation_methods_matikainen.pdfAdobe Acrobat PDFA multifrequency polarimetric SAR processing chain to observe oil fields in the Gulf of Mexico / M. Migliaccio in IEEE Transactions on geoscience and remote sensing, vol 49 n° 12 Tome 1 (December 2011)
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Titre : A multifrequency polarimetric SAR processing chain to observe oil fields in the Gulf of Mexico Type de document : Article/Communication Auteurs : M. Migliaccio, Auteur ; Ferdinando Nunziata, Auteur ; A. Montuori, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 4729 - 4737 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] image radar moirée
[Termes IGN] marée noire
[Termes IGN] Mexique (golfe du)
[Termes IGN] objet mobile
[Termes IGN] pétrole
[Termes IGN] polarimétrie radar
[Termes IGN] surveillance écologiqueRésumé : (Auteur) Within the National Environmental Satellite, Data, and Information Service, National Oceanic and Atmospheric Administration, multiplatform synthetic aperture radar (SAR) imagery is being used to aid post hurricane and postaccident response efforts in the Gulf of Mexico, such as in the case of the recent Deepwater Horizon oil spill. The main areas of interest related to such disasters are the following: (1) to identify oil pipeline leaks and other oil spills at sea and (2) to detect man-made metallic targets over the sea. Within the context of disaster monitoring and response, an innovative processing chain is proposed to observe oil fields (i.e., oil spills and man-made metallic targets) using both Land C-band full-resolution and fully polarimetric SAR data. The processing chain consists of two steps. The first one, based on the standard deviation of the phase difference between the copolarized channels, allows oil monitoring. The second one, based on the different symmetry properties that characterize man-made metallic targets and natural distributed ones, allows man-made metallic target observation. Experiments, accomplished over single-look complex L-band Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) and C-band RADARSAT-2 fully polarimetric SAR data gathered in the Gulf of Mexico and related to the Deepwater Horizon accident, show the effectiveness of the proposed approach. Furthermore, the proposed approach, being able to process both Land C-band fully polarimetric and full resolution SAR measurements, can take full benefit of both the ALOS PALSAR and RADARSAT-2 missions, and therefore, it allows enhancing the revisit time and coverage which are very critical issues in oil field observation. Numéro de notice : A2011-478 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2158828 Date de publication en ligne : 22/12/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2158828 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31372
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 12 Tome 1 (December 2011) . - pp 4729 - 4737[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2011121A RAB Revue Centre de documentation En réserve L003 Disponible Cartographie des linéaments et lithologique dans le secteur de Sebt Brikyne (jonction Doukkala-Rehamna, Maroc) par l'utilisation de l'imagerie satellitaire optique et radar / K. Labassi in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)
[article]
Titre : Cartographie des linéaments et lithologique dans le secteur de Sebt Brikyne (jonction Doukkala-Rehamna, Maroc) par l'utilisation de l'imagerie satellitaire optique et radar Type de document : Article/Communication Auteurs : K. Labassi, Auteur ; A. Tajdi, Auteur ; N. Akdim, Auteur ; A. Sandoz, Auteur Année de publication : 2011 Article en page(s) : pp 11 - 17 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte hydrogéologique
[Termes IGN] géologie locale
[Termes IGN] hydrogéologie
[Termes IGN] image ERS-SAR
[Termes IGN] image Landsat
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] image satellite
[Termes IGN] image SPOT
[Termes IGN] linéament
[Termes IGN] MarocRésumé : (Auteur) L'objectif de cette recherche est une caractérisation de la géologie régionale comme pivot à comprendre l'hydrogéologie de la région de Doukkala. Le site choisi dans cette étude est considéré comme une zone de recharge qui alimente la plaine de Doukkala en eau. Un MNT d'une grande résolution (30m pixel et 25m contour intervalle) a été établie et à permis d'extraire des produits dérivés qui vont contribuer à la caractérisation hydrologique et géomorphologique du secteur. L'utilisation des données de télédétection spatiale multi-source (image Spot, Landsat et ERS radar) a permis : (i) la production d'une esquisse de cartographie géologique, qui fournit davantage d'information, en raison du détail qu'elle apporte (1/100 000) par rapport aux documents cartographiques existants (1/200 000) ; (ii) l'élaboration d'une carte structurale des fractures et des linéaments qui affectent la zone. La réalisation d'une telle carte géologique permettra la caractérisation de la géométrie des structures et des couches géologiques en profondeur d'où une meilleure compréhension de la circulation des eaux superficielles et souterraines et les liens entre les points de perte et les exutoires. Numéro de notice : A2011-390 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31169
in Revue Française de Photogrammétrie et de Télédétection > n° 195 (Novembre 2011) . - pp 11 - 17[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-2011031 RAB Revue Centre de documentation En réserve L003 Disponible Improving the Wishart synthetic aperture radar image classifications through deterministic simulated annealing / F. Sanchez-Llado in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)
PermalinkPhosphate mine subsidences deduced from differential interferometry (DInSAR): The Moulares case example (southern Atlas of Tunisia) / Mehdi Ben Hassen in Comptes rendus : Géoscience, vol 343 n° 11-12 (November - December 2011)
PermalinkInterference suppression algorithm for SAR based on time-frequency transform / S. Zhang in IEEE Transactions on geoscience and remote sensing, vol 49 n° 10 Tome 1 (October 2011)
PermalinkPerformance requirements for ionospheric correction of low-frequency SAR data / J. Meyer in IEEE Transactions on geoscience and remote sensing, vol 49 n° 10 Tome 1 (October 2011)
PermalinkRadar backscatter mapping using TerraSAR-X / P. Rizzoli in IEEE Transactions on geoscience and remote sensing, vol 49 n° 10 Tome 1 (October 2011)
PermalinkEvaluation of the RPC model as a replacement for the spaceborne InSAR phase equation / G. Zhang in Photogrammetric record, vol 26 n° 135 (September - November 2011)
PermalinkPrediction of the error induced by topography in satellite microwave radiometric observations / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)
PermalinkThree-dimensional humidity retrieval using a network of compact microwave radiometers to correct for variations in wet tropospheric path delay in spaceborne interferometric SAR imagery / S. Sahoo in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)
PermalinkOverview and applications of RADARSAT-1 and RADARSAT-2 / R. Magagi in Photo interprétation, European journal of applied remote sensing, vol 47 n° 2 - 3 (juin 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)
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