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An inquiry on contrast enhancement methods for satellite images / Jose-Luis Lisani in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)
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Titre : An inquiry on contrast enhancement methods for satellite images Type de document : Article/Communication Auteurs : Jose-Luis Lisani, Auteur ; Julien Michel, Auteur ; Jean-Michel Morel, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 7044 - 7054 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] amélioration du contraste
[Termes IGN] couleur à l'écran
[Termes IGN] détection d'ombre
[Termes IGN] intensité lumineuseRésumé : (Auteur) Enhancement algorithms are absolutely necessary for the visualization of both shadowed and bright image regions. Defining algorithms that permit to visualize them simultaneously without altering the image content is therefore extremely relevant for remote sensing applications. In this paper, we present the results of two successive benchmarks which tested the performance of the state-of-the-art contrast enhancement and benchmarks algorithms applied to satellite images. Experts from the French Space Agency Centre National d'Etudes Spatiales (CNES), Service Régional de Traitement d'Image et de Télédétection (SERTIT), and two European universities assessed the quality and fidelity of the results of several state-of-the-art enhancement algorithms on the excerpts from seven images (five Pleiades and two simulated 30-cm images). The first benchmark permitted to tighten the procedure and the selection of the test images for the second one, and to make a first selection of concurrent algorithms. The second benchmark not only included the best algorithms selected by the first benchmark but also added even more competitors in the tone-mapping class. The results of both benchmarks were coherent. They point a particular retinex-based algorithm as the best compromise between the competitive requirements of a contrast enhancement in dark regions and a preservation of detail in bright parts. Numéro de notice : A2016-924 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2594339 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2594339 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83328
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 12 (December 2016) . - pp 7044 - 7054[article]An iterative interpolation deconvolution algorithm for superresolution land cover mapping / Feng Ling in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)
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Titre : An iterative interpolation deconvolution algorithm for superresolution land cover mapping Type de document : Article/Communication Auteurs : Feng Ling, Auteur ; Giles M. Foody, Auteur ; Yong Ge, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 7210 - 7222 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification du maximum a posteriori
[Termes IGN] déconvolution
[Termes IGN] image à ultra haute résolution
[Termes IGN] itérationRésumé : (Auteur) Superresolution mapping (SRM) is a method to produce a fine-spatial-resolution land cover map from coarse-spatial-resolution remotely sensed imagery. A popular approach for SRM is a two-step algorithm, which first increases the spatial resolution of coarse fraction images by interpolation and then determines class labels of fine-resolution pixels using the maximum a posteriori (MAP) principle. By constructing a new image formation process that establishes the relationship between the observed coarse-resolution fraction images and the latent fine-resolution land cover map, it is found that the MAP principle only matches with area-to-point interpolation algorithms and should be replaced by deconvolution if an area-to-area interpolation algorithm is to be applied. A novel iterative interpolation deconvolution (IID) SRM algorithm is proposed. The IID algorithm first interpolates coarse-resolution fraction images with an area-to-area interpolation algorithm and produces an initial fine-resolution land cover map by deconvolution. The fine-spatial-resolution land cover map is then updated by reconvolution, back-projection, and deconvolution iteratively until the final result is produced. The IID algorithm was evaluated with simulated shapes, simulated multispectral images, and degraded Landsat images, including comparison against three widely used SRM algorithms: pixel swapping, bilinear interpolation, and Hopfield neural network. Results show that the IID algorithm can reduce the impact of fraction errors and can preserve the patch continuity and the patch boundary smoothness simultaneously. Moreover, the IID algorithm produced fine-resolution land cover maps with higher accuracies than those produced by other SRM algorithms. Numéro de notice : A2016-928 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2598534 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2598534 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83342
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 12 (December 2016) . - pp 7210 - 7222[article]Automated co-registration of satellite images through luminance transformation / Deniz Gerçek in Photogrammetric record, vol 31 n° 156 (December 2016 - February 2017)
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Titre : Automated co-registration of satellite images through luminance transformation Type de document : Article/Communication Auteurs : Deniz Gerçek, Auteur ; Davut Çeşmeci, Auteur ; M. Kemal Güllü, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 407 - 427 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] caméra numérique
[Termes IGN] image satellite
[Termes IGN] intensité lumineuse
[Termes IGN] partitionnement par bloc
[Termes IGN] radianceRésumé : (auteur) This paper presents an extensive evaluation of a novel intensity-based image co-registration method called luminance transformed differences (LTD) which is compared with current alternatives. The proposed method suggests the use of the luminance transform operation (LTO) to reduce luminance differences between images that may well affect image registration accuracy. Registration is implemented in a block-based fashion in order to achieve a non-rigid transformation at a sub-pixel accuracy level. Sample images from different sensors, exhibiting various geometric distortions, are registered to test the various intensity-based image registration alternatives. LTD is found to outperform other methods; its high accuracy can be achieved even using small searching blocks which substantially reduce the computational cost. Numéro de notice : A2016--004 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12160 Date de publication en ligne : 04/10/2016 En ligne : https://doi.org/10.1111/phor.12160 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83822
in Photogrammetric record > vol 31 n° 156 (December 2016 - February 2017) . - pp 407 - 427[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2016041 RAB Revue Centre de documentation En réserve L003 Disponible Class-specific sparse multiple kernel learning for spectral–spatial hyperspectral image classification / Tianzhu Liu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)
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Titre : Class-specific sparse multiple kernel learning for spectral–spatial hyperspectral image classification Type de document : Article/Communication Auteurs : Tianzhu Liu, Auteur ; Yanfeng Gu, Auteur ; Xiuping Jia, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 7351 - 7365 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes principales
[Termes IGN] exploration de données
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image hyperspectrale
[Termes IGN] méthode fondée sur le noyauRésumé : (Auteur) In recent years, many studies on hyperspectral image classification have shown that using multiple features can effectively improve the classification accuracy. As a very powerful means of learning, multiple kernel learning (MKL) can conveniently be embedded in a variety of characteristics. This paper proposes a class-specific sparse MKL (CS-SMKL) framework to improve the capability of hyperspectral image classification. In terms of the features, extended multiattribute profiles are adopted because it can effectively represent the spatial and spectral information of hyperspectral images. CS-SMKL classifies the hyperspectral images, simultaneously learns class-specific significant features, and selects class-specific weights. Using an L1-norm constraint (i.e., group lasso) as the regularizer, we can enforce the sparsity at the group/feature level and automatically learn a compact feature set for the classification of any two classes. More precisely, our CS-SMKL determines the associated weights of optimal base kernels for any two classes and results in improved classification performances. The advantage of the proposed method is that only the features useful for the classification of any two classes can be retained, which leads to greatly enhanced discriminability. Experiments are conducted on three hyperspectral data sets. The experimental results show that the proposed method achieves better performances for hyperspectral image classification compared with several state-of-the-art algorithms, and the results confirm the capability of the method in selecting the useful features. Numéro de notice : A2016-932 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2600522 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2600522 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83346
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 12 (December 2016) . - pp 7351 - 7365[article]Crustal deformation caused by the 2016 Kumamoto earthquake revealed by GEONET / Satoshi Kawamoto in Bulletin of the GeoSpatial Information authority of Japan, vol 64 (December 2016)
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Titre : Crustal deformation caused by the 2016 Kumamoto earthquake revealed by GEONET Type de document : Article/Communication Auteurs : Satoshi Kawamoto, Auteur ; Yohei Hiyama, Auteur ; Reiko Kai, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 27 - 33 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] déformation de la croute terrestre
[Termes IGN] faille géologique
[Termes IGN] GeoNet
[Termes IGN] Japon
[Termes IGN] Kyushu (Japon)
[Termes IGN] positionnement par GNSS
[Termes IGN] réseau géodésique local
[Termes IGN] séismeRésumé : (auteur) GNSS observation over the area of the 2016 Kumamoto Earthquake (April 14-16, 2016) reveals coseismic deformations of over 10 centimeters caused by the two large foreshocks and of ~ 1 meter caused by the mainshock as well as a postseismic deformation of up to a few centimeters. Large displacements are concentrated around Futagawa-Hinagu fault zone which is a known active fault in Kyushu Island. Kinematic positioning results imply the two large foreshocks initiated a rupture on the northern part of the Hinagu fault segment, then a rupture neighboring the southern part of the segment. The postseismic deformations that followed seem to be similar to the pattern of coseismic deformation, however, they are widely distributed. The sequence of earthquakes caused significant distortion in the Japanese geodetic datum around the focal area, but GEONET observation enabled a rapid response. Furthermore, it is believed the observation data provided by GEONET will make a significant contribution to understand the fault property along the active fault zone. Numéro de notice : A2016--077 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans En ligne : https://www.gsi.go.jp/common/000150876.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84506
in Bulletin of the GeoSpatial Information authority of Japan > vol 64 (December 2016) . - pp 27 - 33[article]Detection of ground surface deformation caused by the 2016 Kumamoto earthquake by InSAR using ALOS-2 data / Basara Miyahara in Bulletin of the GeoSpatial Information authority of Japan, vol 64 (December 2016)
PermalinkDetermination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data / Benedikt Soja in Journal of geodesy, vol 90 n° 12 (December 2016)
PermalinkDictionary learning for promoting structured sparsity in hyperspectral compressive sensing / Lei Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)
PermalinkDiscriminative-dictionary-learning-based multilevel point-cluster features for ALS point-cloud classification / Zhenxin Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)
PermalinkExamining view angle effects on leaf N estimation in wheat using field reflectance spectroscopy / Xiao Song in ISPRS Journal of photogrammetry and remote sensing, vol 122 (December 2016)
PermalinkFrom inventory to consumer biomass availability - the ITOC model / Udo Mantau in Annals of Forest Science, vol 73 n° 4 (December 2016)
PermalinkGestion des peuplements en forêt publique : nouvelles pistes de recherche, développement et innovation / Christine Deleuze in Revue forestière française, vol 68 n° 6 (décembre 2016)
PermalinkHierarchical and adaptive phase correlation for precise disparity estimation of UAV images / Jie Li in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)
PermalinkImproved ambiguity resolution for URTK with dynamic atmosphere constraints / Weiming Tang in Journal of geodesy, vol 90 n° 12 (December 2016)
PermalinkA methodological protocol for Annex I Habitats monitoring: the contribution of Vegetation science / D. Gigante in Plant sociology, vol 53 n° 2 (December 2016)
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