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A three-dimensional model-based approach to the estimation of the tree top height by fusing low-density LiDAR data and very high resolution optical images / Claudia Paris in IEEE Transactions on geoscience and remote sensing, vol 53 n° 1 (January 2015)
[article]
Titre : A three-dimensional model-based approach to the estimation of the tree top height by fusing low-density LiDAR data and very high resolution optical images Type de document : Article/Communication Auteurs : Claudia Paris, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2015 Article en page(s) : pp 467 - 480 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] arbre (flore)
[Termes IGN] données lidar
[Termes IGN] fusion d'images
[Termes IGN] hauteur des arbres
[Termes IGN] image optique
[Termes IGN] modélisation 3DRésumé : (Auteur) Light detection and ranging (LiDAR) technology has been extensively used for estimating forest attributes. Although high-spatial-density LiDAR data can be used to accurately derive attributes at single tree level, low-density LiDAR data are usually acquired for reducing the cost. However, a low density strongly affects the estimation accuracy due to the underestimation of the tree top and the possible loss of crowns that are not hit by any LiDAR point. In this paper, we propose a 3-D model-based approach to the estimation of the tree top height based on the fusion between low-density LiDAR data and high-resolution optical images. In the proposed approach, the integration of the two remotely sensed data sources is first exploited to accurately detect and delineate the single tree crowns. Then, the LiDAR vertical measures are associated to those crowns hit by at least one LiDAR point and used together with the radius of the crown and the tree apex location derived from the optical image for reconstructing the tree top height by a properly defined parametric model. For the remaining crowns detected only in the optical image, we reconstruct the tree top height by proposing a k-nearest neighbor trees technique that estimates the height of the missed trees as the average of the k reconstructed height values of the trees having most similar crown properties. The proposed technique has been tested on a coniferous forest located in the Italian Alps. The experimental results confirmed the effectiveness of the proposed method. Numéro de notice : A2015-035 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2324016 En ligne : https://doi.org/10.1109/TGRS.2014.2324016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75117
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 1 (January 2015) . - pp 467 - 480[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015011 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of imaging spectroscopy and airborne laser scanning data for characterization of forest ecosystems – A review / Hossein Torabzadeh in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)
[article]
Titre : Fusion of imaging spectroscopy and airborne laser scanning data for characterization of forest ecosystems – A review Type de document : Article/Communication Auteurs : Hossein Torabzadeh, Auteur ; F. Morsdorf, Auteur ; Michael E. Schaepman, Auteur Année de publication : 2014 Article en page(s) : pp 25 – 35 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] écosystème forestier
[Termes IGN] fusion d'images
[Termes IGN] modèle empirique
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Forest ecosystems play an important role in the global carbon cycle and it is largely unknown how this role might be altered by transients imposed by global change and deforestation. Remote sensing can provide information on ecosystem state and functioning and, among others, two remote sensing techniques, airborne laser scanning (ALS) and imaging spectroscopy (IS), have been used to characterize forest ecosystems, both independently and combined in fusion approaches. However, the fusion of these datasets should make the best use of the complementarity of both sensors and provide better and more robust vegetation products in forested ecosystems. Similar to other data fusion approaches, satisfying results depend on choosing appropriate fusion levels and methods. In this review paper, we summarize and classify relevant studies that focused on forest characterization using combined ALS and IS data, limited to the last decade. We classified the approaches by fusion level (data or product level) and by choice of methods (physical or empirical methods). Five different categories of products (landcover maps, aboveground biomass, biophysical parameters, gross/net primary productivity and biochemical parameters), have been found as the main aspects of forest ecosystems studied so far. A qualitative accuracy analysis of the products exposed that currently landcover maps are profiting the most from ALS and IS data fusion, while there is room for improvements in respect to the other products, such as biophysical parameters. Only few studies using physical approaches were found, but we expect the use of such approaches will increase with the growing availability of physically based radiative transfer models that can simulate both, ALS and IS data. Numéro de notice : A2014-523 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.08.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.08.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74135
in ISPRS Journal of photogrammetry and remote sensing > vol 97 (November 2014) . - pp 25 – 35[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014111 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using dempster–shafer theory / Vahideh Saeidi in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)
[article]
Titre : Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using dempster–shafer theory Type de document : Article/Communication Auteurs : Vahideh Saeidi, Auteur ; Biswajeet Pradhan, Auteur ; O. Idrees Mohammed, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 6017 - 6025 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] données lidar
[Termes IGN] fusion d'images
[Termes IGN] image SPOT 5
[Termes IGN] indice de végétation
[Termes IGN] théorie de Dempster-ShaferRésumé : (Auteur) This paper presents an application of data-driven Dempster-Shafer theory (DST) of evidence to fuse multisensor data for land-cover feature extraction. Over the years, researchers have focused on DST for a variety of applications. However, less attention has been given to generate and interpret probability, certainty, and conflict maps. Moreover, quantitative assessment of DST performance is often overlooked. In this paper, for implementation of DST, two main types of data were used: multisensor data such as Light Detection and Ranging (LiDAR) and multispectral satellite imagery [Satellite Pour l'Observation de la Terre 5 (SPOT 5)]. The objectives are to classify land-cover types from fused multisensor data using DST, to quantitatively assess the accuracy of the classification, and to examine the potential of slope data derived from LiDAR for feature detection. First, we derived the normalized difference vegetation index (NDVI) from SPOT 5 image and the normalized digital surface model (DSM) (nDSM) from LiDAR by subtracting the digital terrain model from the DSM. The two products were fused using the DST algorithm, and the accuracy of the classification was assessed. Second, we generated a surface slope from LiDAR and fused it with NDVI. Subsequently, the classification accuracy was assessed using an IKONOS image of the study area as ground truth data. From the two processing stages, the NDVI/nDSM fusion had an overall accuracy of 88.7%, while the NDVI/slope fusion had 75.3%. The result indicates that NDVI/nDSM integration performed better than NDVI/slope. Although the overall accuracy of the former is better than the latter (NDVI/slope), the contribution of individual class reveals that building extraction from fused slope and NDVI performed poorly. This study proves that DST is a time- and cost-effective method for accurate land-cover feature identification and extraction without the need for a prior knowledge of the scene. Furthermore, the ability to generate other products like certainty, conflict, and maximum probability maps for better visual understanding of the decision process makes it more reliable for applications such as urban planning, forest management, 3-D feature extraction, and map updating. Numéro de notice : A2014-488 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2294398 En ligne : https://doi.org/10.1109/TGRS.2013.2294398 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74077
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 10 tome 1 (October 2014) . - pp 6017 - 6025[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014101A RAB Revue Centre de documentation En réserve L003 Disponible Hyperspectral image resolution enhancement using high-resolution multispectral image based on spectral unmixing / Mohamed Amine Bendoumi in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 2 (October 2014)
[article]
Titre : Hyperspectral image resolution enhancement using high-resolution multispectral image based on spectral unmixing Type de document : Article/Communication Auteurs : Mohamed Amine Bendoumi, Auteur ; Mingyi He, Auteur ; Shaohui Mei, Auteur Année de publication : 2014 Article en page(s) : pp 6574 - 6583 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] fusion d'images
[Termes IGN] image hyperspectrale
[Termes IGN] image multibandeRésumé : (Auteur) In this paper, a hyperspectral (HS) image resolution enhancement algorithm based on spectral unmixing is proposed for the fusion of the high-spatial-resolution multispectral (MS) image and the low-spatial-resolution HS image (HSI). As a result, a high-spatial-resolution HSI is reconstructed based on the high spectral features of the HSI represented by endmembers and the high spatial features of the MS image represented by abundances. Since the number of endmembers extracted from the MS image cannot exceed the number of bands in least-squares-based spectral unmixing algorithm, large reconstruction errors will occur for the HSI, which degrades the fusion performance of the enhanced HSI. Therefore, in this paper, a novel fusion framework is also proposed by dividing the whole image into several subimages, based on which the performance of the proposed spectral-unmixing-based fusion algorithm can be further improved. Finally, experiments on the Hyperspectral Digital Imagery Collection Experiment and Airborne Visible/Infrared Imaging Spectrometer data demonstrate that the proposed fusion algorithms outperform other famous fusion techniques in both spatial and spectral domains. Numéro de notice : A2014-485 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2298056 En ligne : https://doi.org/10.1109/TGRS.2014.2298056 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74684
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 10 tome 2 (October 2014) . - pp 6574 - 6583[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014101B RAB Revue Centre de documentation En réserve L003 Disponible Application de la télédétection et des méthodes d'analyse multicritère à l'étude de la variabilité spatiale des potentialités en eau souterraine d'un aquifère du socle d'une région tropicale humide de l'Afrique de l'Ouest : cas du département de Bongouanou, Est de la Côte-d'Ivoire / Emile Assie Assemian in Photo interprétation, European journal of applied remote sensing, vol 50 n° 3 - 4 (septembre 2014)
[article]
Titre : Application de la télédétection et des méthodes d'analyse multicritère à l'étude de la variabilité spatiale des potentialités en eau souterraine d'un aquifère du socle d'une région tropicale humide de l'Afrique de l'Ouest : cas du département de Bongouanou, Est de la Côte-d'Ivoire Type de document : Article/Communication Auteurs : Emile Assie Assemian, Auteur ; Damien Adonis Kouame, Auteur ; Abaka Brice Hervé Mobio, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 120 - 136 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse multicritère
[Termes IGN] aquifère
[Termes IGN] carte géomorphologique
[Termes IGN] carte hydrogéologique
[Termes IGN] Côte d'Ivoire
[Termes IGN] eau souterraine
[Termes IGN] fracture
[Termes IGN] fusion d'images
[Termes IGN] image Envisat
[Termes IGN] image Landsat-ETM+
[Termes IGN] indicateur
[Termes IGN] socle
[Termes IGN] variabilité
[Termes IGN] zone tropicale humideIndex. décimale : 35.40 Applications de télédétection - généralités Résumé : (Auteur) Le but de ce travail a consisté à identifier les zones potentiellement productives en eau souterraine d'un milieu fissuré du Centre-Est de la Côte-d'Ivoire qui est le département de Bongouanou. Ainsi, des images radar Envisat et Landsat7 ETM+ ont été traitées, fusionnées et interprétées pour extraire les fractures de la zone d'étude. Les paramètres des forages ont été aussi exploités cette étude. Leur intégration dans deux analyses multicritères ont permis de produire d'une part, la carte de potentialité aquifères selon la méthode de JOURDA et al. (2006) et d'autre part, la carte de productivité en eau souterraine selon l'approche de SALEY (2003). Ces deux cartes bien que ayant des approches divergentes dans la conception de leurs indicateurs, semblent décrire des similitudes dans la répartition spatiale des classes de potentialité en eau souterraine. En effet, la carte de Potentialité aquifère décrit la productivité de l'aquifère, au regard de l'intensité de fracturation tectonique, l'altération et la recharge, alors que la carte de Productivité en eau souterraine détermine les zones d'obtention des débits importants à faibles profondeurs. Cette similitude apparente montre certainement que les zones densément fracturés, fournissent des débits importants généralement à faibles profondeurs dans les aquifères de socle. Ainsi, les régions du Sud (M'batto, Anoumaba), de l'Ouest (Tiémelékro), du Nord (Assie-Koumassi) et de l'Est (Andé, Arrah) sont les zones les plus potentiellement productives en eau souterraine. Ce sont surtout les secteurs d'obtention des débits importants à faibles profondeurs de foration. L'exploitation conjointe de ces deux cartes thématiques permettra de localiser les secteurs productifs en eau souterraine dans ce milieu fissuré. Numéro de notice : A2014-589 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74829
in Photo interprétation, European journal of applied remote sensing > vol 50 n° 3 - 4 (septembre 2014) . - pp 120 - 136[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 104-2014031 SL Revue Centre de documentation Revues en salle Disponible Decision fusion in kernel-induced spaces for hyperspectral image classification / Wei Li in IEEE Transactions on geoscience and remote sensing, vol 52 n° 6 Tome 2 (June 2014)PermalinkFeature extraction of hyperspectral images with image fusion and recursive filtering / Xudong Kang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 6 Tome 2 (June 2014)PermalinkHyperspectral image denoising with a spatial–spectral view fusion strategy / Qiangqiang Yuan in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)PermalinkSegmentation d'images aériennes par coopération LPE-régions et LPE-contours, application à la caractérisation de toitures / Youssef El Merabet in Revue Française de Photogrammétrie et de Télédétection, n° 206 (Avril 2014)PermalinkSpatial and spectral image fusion using sparse matrix factorization / Bo Huang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)PermalinkA GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation / Xiran Zhou in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)PermalinkCombining top-down and bottom-up approaches for building detection in a single very high resolution satellite image / Mahmoud Mohammed Sidi Youssef (2014)PermalinkPermalinkImagerie de télédétection / Florence Tupin (2014)PermalinkPermalinkA semi-ellipsoid-model based fuzzy classifier to map grassland in Inner Mongolia, China / Hai Lan in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)PermalinkModels and methods for automated background density estimation in hyperspectral anomaly detection / Stefania Matteoli in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 1 (May 2013)PermalinkA sparse image fusion algorithm with application to pan-sharpening / Xiao Xiang Zhu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 1 (May 2013)PermalinkA variational gradient-based fusion method for visible and SWIR imagery / H. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)PermalinkPhenology-based crop classification algorithm and its implications on agricultural water use assessments in California's central valley / L. Zhong in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkStreamed vertical rectangle detection in terrestrial laser scans for facade database / Jérôme Demantké in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)PermalinkA proposed framework to unmix scattering mechanisms of polarimetric radar images using very high resolution optical images / Sébastien Giordano in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-7 (2012)PermalinkUrban tree cover mapping with relief-corrected aerial imagery and lidar / B. Lehrbass in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 5 (May 2012)PermalinkCoupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion / N. Yokoya in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)PermalinkMarkov Chain CFAR detection for polarimetric data using data fusion / C. Fei in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)Permalink