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Landslide displacement mapping based on ALOS-2/PALSAR-2 data using image correlation techniques and SAR interferometry: application to the Hell-Bourg landslide (Salazie Circle, La Réunion Island) / Daniel Raucoules in Geocarto international, vol 35 n° 2 ([01/02/2020])
[article]
Titre : Landslide displacement mapping based on ALOS-2/PALSAR-2 data using image correlation techniques and SAR interferometry: application to the Hell-Bourg landslide (Salazie Circle, La Réunion Island) Type de document : Article/Communication Auteurs : Daniel Raucoules, Auteur ; Marcello De Michele, Auteur ; Bertrand Aunay, Auteur Année de publication : 2020 Article en page(s) : pp 113 - 127 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] bande L
[Termes IGN] cartographie géomorphologique
[Termes IGN] déformation de surface
[Termes IGN] données GNSS
[Termes IGN] données spatiotemporelles
[Termes IGN] effondrement de terrain
[Termes IGN] image à haute résolution
[Termes IGN] image ALOS-PALSAR
[Termes IGN] Réunion, île de laRésumé : (Auteur) In the study described here, the capability of space-borne high-resolution L-band synthetic aperture radar (SAR) images (ALOS-2/PALSAR2 data in StripMap SM1 mode) for deriving and mapping two components of the deformation of slow landslides has been investigated. The deformation characterization was carried out on the basis of sub-pixel correlation offset tracking techniques and differential SAR interferometry. On the Hell-Bourg landslide (located on La Réunion Island, with displacements up to about 1 m/year), the deformation maps produced performed significantly better than the C-band or lower-resolution SAR data used in previous studies. A comparison was carried out with Global Navigation Satellite System data acquired on the test site. Even with a reduced image set (seven acquisitions), detailed deformation maps and information on deformation evolution during 2014–2016 could be generated. The combination of L-band data and high resolution was the source of the improved performance provided by this new kind of data. Numéro de notice : A2020-034 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2018.1508311 Date de publication en ligne : 24/09/2018 En ligne : https://doi.org/10.1080/10106049.2018.1508311 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94515
in Geocarto international > vol 35 n° 2 [01/02/2020] . - pp 113 - 127[article]Multi-spectral image change detection based on single-band iterative weighting and fuzzy C-means clustering / Liyuan Ma in European journal of remote sensing, vol 53 n° 1 (2020)
[article]
Titre : Multi-spectral image change detection based on single-band iterative weighting and fuzzy C-means clustering Type de document : Article/Communication Auteurs : Liyuan Ma, Auteur ; Jia Zhenhong, Auteur ; Jie Yang, Auteur ; Nikola Kasabov, Auteur Année de publication : 2020 Article en page(s) : pp 1 -13 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] bruit blanc
[Termes IGN] classification floue
[Termes IGN] classification non dirigée
[Termes IGN] coefficient de corrélation
[Termes IGN] détection de changement
[Termes IGN] distance euclidienne
[Termes IGN] image multibande
[Termes IGN] itération
[Termes IGN] masque
[Termes IGN] pondérationRésumé : (auteur) In the present study, an improved iteratively reweighted multivariate alteration detection (IR-MAD) algorithm was proposed to improve the contribution of weakly correlated bands in multi-spectral image change detection. In the proposed algorithm, each image band was given a different weight through single-band iterative weighting, improving the correlation between each pair of bands. This method was used to obtain the characteristic difference in the diagrams of the band that contain more variation information. After removing Gaussian noise from each feature-difference graph, the difference graphs of each band were fused into a change-intensity graph using the Euclidean distance formula. Finally, unsupervised fuzzy C-means (FCM) clustering was used to perform binary clustering on the fused difference graphs to obtain the change detection results. By comparing the original multivariate alteration detection (MAD) algorithm, the IR-MAD algorithm and the proposed IR-MAD algorithm, which used a mask to eliminate strong changes, the experimental results revealed that the multi-spectral change detection results of the proposed algorithm are closer to the actual value and had higher detection accuracy than the other algorithms. Numéro de notice : A2020-164 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/22797254.2019.1707124 Date de publication en ligne : 26/12/2020 En ligne : https://doi.org/10.1080/22797254.2019.1707124 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94831
in European journal of remote sensing > vol 53 n° 1 (2020) . - pp 1 -13[article]Some thoughts on measuring earthquake deformation using optical imagery / Min Huang in IEEE Transactions on geoscience and remote sensing, vol 58 n° 2 (February 2020)
[article]
Titre : Some thoughts on measuring earthquake deformation using optical imagery Type de document : Article/Communication Auteurs : Min Huang, Auteur ; Yu Zhou, Auteur ; Lejun Lu, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 1052 - 1062 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement d'images
[Termes IGN] artefact
[Termes IGN] déformation de la croute terrestre
[Termes IGN] image à très haute résolution
[Termes IGN] image ALOS
[Termes IGN] image optique
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] orthorectification
[Termes IGN] sismologieRésumé : (auteur) Optical imagery has been proven to be an effective tool for measuring earthquake deformation in continental regions since its first application in the 1999 Izmit earthquake. In this article, we compile and analyze all the earthquakes that have been investigated with optical image matching by 2019, based on which we comment on various issues regarding measuring earthquake deformation with optical imagery. New generations of very high-resolution (VHR) data are effective for earthquake studies, but orthorectification of the VHR images is the major source of error, which is often ignored. We found that the displacements derived from the WorldView images strongly correlate with the errors in the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) that was used in orthorectification. Based on the observed correlation between displacements and topography, we propose a new DEM-based method using the Advanced Land Observing Satellite (ALOS) World 3-D DEM to reduce the orthorectification errors. Combining the published optical data of earthquake deformation, we re-analyze the coseismic slip distribution and shallow slip deficit (SSD). The SSD model states that the coseismic slip in many strike-slip earthquakes decreases in magnitude toward the surface, but this model remains arguable because the interferometric synthetic aperture radar (InSAR)-derived slip is usually not well-constrained at shallow depths due to decorrelation. Because optical matching directly measures the surface slip, we re-examine the slip distribution of 11 strike-slip earthquakes and find that the SSD model may primarily be artifacts in the InSAR measurements. It is therefore of great importance to include the optical data in earthquake studies to constrain coseismic slip inversions. Numéro de notice : A2020-096 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2943192 Date de publication en ligne : 21/10/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2943192 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94669
in IEEE Transactions on geoscience and remote sensing > vol 58 n° 2 (February 2020) . - pp 1052 - 1062[article]
Titre : Advances in digital image correlation (DIC) Type de document : Monographie Auteurs : Jean-Noël Perie, Éditeur scientifique ; Jean-Charles Passieux, Éditeur scientifique Editeur : Londres : Applied Science Publishers Année de publication : 2020 Importance : 252 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03928-514-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] appariement d'images
[Termes IGN] corrélation croisée normalisée
[Termes IGN] Déformation
[Termes IGN] données de terrain
[Termes IGN] étalonnage
[Termes IGN] modélisation 3D
[Termes IGN] pouvoir de résolution géométrique
[Termes IGN] prise de vues en accéléré
[Termes IGN] tomographieRésumé : (auteur) Digital image correlation (DIC) has become the most popular full field measurement technique in experimental mechanics. It is a versatile and inexpensive measurement method that provides a large amount of experimental data. Because DIC takes advantage of a huge variety of image modalities, the technique allows covering a wide range of space and time scales. Stereo extends the scope of DIC to non-planar cases, which are more representative of industrial use cases. With the development of tomography, digital volume correlation now provides access to volumetric data, enabling the study of the inner behavior of materials and structures.However, the use of DIC data to quantitatively validate models or accurately identify a set of constitutive parameters remains challenging. One of the reasons lies in the compromises between measurement resolution and spatial resolution. Second, the question of the boundary conditions is still open. Another reason is that the measured displacements are not directly comparable with usual simulations. Finally, the use of full field data leads to new computational challenges. Note de contenu : 1- Special issue on advances in digital image correlation (DIC)
2- Measurement of super-pressure balloon deformation with simplified digital image correlation
3- A cross-dichroic-prism-based multi-perspective digital image correlation system
4- Laboratory observations of repeated interactions between ruptures and the fault bend prior to the overall stick-slip instability based on a digital image correlation method
5- Application of 3D digital image correlation for development and validation of FEM model of self-supporting arch structures
6- Experimental study on the fracture process zone characteristics in concrete utilizing DIC and AE methods
7- 3D strain and elasticity measurement of layered biomaterials by optical coherence
elastography based on digital volume correlation and virtual fields method
8- 3D strain mapping of opaque materials using an improved digital volumetric speckle
photography technique with X-Ray microtomography
9- Enhanced digital image correlation analysis of ruptures with enforced traction continuity conditions across interfaces
10- Application of the non-contact video gauge on the mechanical properties test for steel cable at elevated temperature
11- New four points initialization for digital image correlation in metal-sheet
strain measurements
12- Dynamic response of copper plates subjected to underwater impulsive loading
13- Gradient correlation functions in digital image correlation
14- Image classification for automated image cross-correlation applications in the geosciences
15- Measurement of interlaminar tensile strength and elastic properties of composites using open-hole compression testing and digital image correlation
16- Digital image correlation applications in composite automated manufacturing, inspection, and testing
17- A method for calibrating a digital image correlation system for full-field strain
measurements during large deformationsNuméro de notice : 25933 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie En ligne : https://doi.org/10.3390/books978-3-03928-515-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96241 Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29 2020 / Michael R. Berthold (2020)
Titre : Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29 2020 Type de document : Actes de congrès Auteurs : Michael R. Berthold, Éditeur scientifique ; Ad Feelders, Éditeur scientifique ; Georg Krempl, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2020 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 12080 Conférence : IDA 2020, 18th International Symposium on Intelligent Data Analysis, Advances in Intelligent Data Analysis XVIII 27/04/2020 29/04/2020 Constance Allemagne OA Proceedings Importance : 588 p. ISBN/ISSN/EAN : 978-3-030-44584-3 Note générale : Information Systems and Applications, incl. Internet/Web, and HCI Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] analyse d'image numérique
[Termes IGN] analyse de données
[Termes IGN] appariement d'images
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage dirigé
[Termes IGN] réseau neuronal artificiel
[Termes IGN] vision par ordinateurRésumé : (Editeur) This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation. Numéro de notice : 26312 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Actes DOI : 10.1007/978-3-030-44584-3 Date de publication en ligne : 14/05/2020 En ligne : https://www.springer.com/gp/book/9783030445836 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95127 Camera orientation, calibration and inverse perspective with uncertainties: a Bayesian method applied to area estimation from diverse photographs / Grégoire Guillet in ISPRS Journal of photogrammetry and remote sensing, vol 159 (January 2020)PermalinkPermalinkPermalinkRecherche multimodale d'images aériennes multi-date à l'aide d'un réseau siamois / Margarita Khokhlova (2020)PermalinkSystème de traitement d’images temps réel dédié à la mesure de champs denses de déplacements et de déformations / Seyfeddine Boukhtache (2020)PermalinkMatching of TerraSAR-X derived ground control points to optical image patches using deep learning / Tatjana Bürgmann in ISPRS Journal of photogrammetry and remote sensing, Vol 158 (December 2019)PermalinkContext pyramidal network for stereo matching regularized by disparity gradients / Junhua Kang in ISPRS Journal of photogrammetry and remote sensing, vol 157 (November 2019)PermalinkA CNN-based subpixel level DSM generation approach via single image super-resolution / Yongjun Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)PermalinkAn analytic expression for the phase noise of the goldstein–werner filter / Scott Hensley in IEEE Transactions on geoscience and remote sensing, vol 57 n° 9 (September 2019)PermalinkPPD: Pyramid Patch Descriptor via convolutional neural network / Jie Wan in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 9 (September 2019)Permalink