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scientifique

Spectral–spatial-aware unsupervised change detection with stochastic distances and support vector machines / Rogério Galante Negri in IEEE Transactions on geoscience and remote sensing, vol 59 n° 4 (April 2021)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 59 n° 4 (April 2021) . - pp 2863 - 2876 Titre : Spectral–spatial-aware unsupervised change detection with stochastic distances and support vector machines Type de document : Article/Communication Auteurs : Rogério Galante Negri, Auteur ; Alejandro C. Frery, Auteur ; Wallace Casaca, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 2863 - 2876 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] analyse de sensibilité [Termes IGN] classification non dirigée [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] détection d'ombre [Termes IGN] détection de changement [Termes IGN] détection des nuages [Termes IGN] image ALOS-PALSAR [Termes IGN] image Landsat-OLI [Termes IGN] image Sentinel-MSI [Termes IGN] processus stochastique [Termes IGN] zone homogène Résumé : (auteur) Change detection is a topic of great interest in remote sensing. A good similarity metric to compute the variations among the images is the key to high-quality change detection. However, most existing approaches rely on the fixed threshold values or the user-provided ground truth in order to be effective. The inability to deal with artificial objects such as clouds and shadows is a significant difficulty for many change-detection methods. We propose a new unsupervised change-detection framework to address those critical points. The notion of homogeneous regions is introduced together with a set of geometric operations and statistic-based criteria to characterize and distinguish formally the change and nonchange areas in a pair of remote sensing images. Moreover, a robust and statistically well-posed family of stochastic distances is also proposed, which allows comparing the probability distributions of different regions/objects in the images. These stochastic measures are then used to train a support-vector-machine-based approach in order to detect the change/nonchange areas. Three study cases using the images acquired with different sensors are given in order to compare the proposed method with other well-known unsupervised methods. Numéro de notice : A2021-282 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.3009483 Date de publication en ligne : 24/07/2020 En ligne : https://doi.org/10.1109/TGRS.2020.3009483 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97389 [article]

High-resolution large-area digital orthophoto map generation using LROC NAC images / Kaichang Di in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 7 (July 2019)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 7 (July 2019) . - pp 481 - 491 Titre : High-resolution large-area digital orthophoto map generation using LROC NAC images Type de document : Article/Communication Auteurs : Kaichang Di, Auteur ; Jia Mengna, Auteur ; Xin Xin, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 481 - 491 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage [Termes IGN] Chine [Termes IGN] compensation par bloc [Termes IGN] erreur de positionnement [Termes IGN] image à haute résolution [Termes IGN] Lune [Termes IGN] modèle géométrique de prise de vue [Termes IGN] modèle numérique de terrain [Termes IGN] orthoimage [Termes IGN] orthophotoplan numérique [Termes IGN] zone homogène Résumé : (auteur) The Chang'e-5 mission of China is planned to be launched in 2019 to the landing area near Mons Rümker located in Oceanus Procellarum. Aiming to generate a high-resolution and high-quality digital orthophoto map (DOM) of the planned landing area for supporting the mission and various scientific analyses, this study developed a systematic and effective method for large-area seamless DOM production. The mapping results of the Chang'e-5 landing area using over 700 Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC) images are presented. The resultant seamless DOM has a resolution of 1.5 m, covers a large area of 20° in longitude and 4° in latitude, and is tied to SLDEM2015. The results demonstrate that the proposed method can reduce the geometric inconsistencies among the LROC NAC images to the subpixel level and the positional errors with respect to the reference digital elevation model to about one grid cell size. Numéro de notice : A2019-257 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.85.7.481 Date de publication en ligne : 01/07/2019 En ligne : https://doi.org/10.14358/PERS.85.7.481 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93052 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2019071	SL	Revue	Centre de documentation	Revues en salle	Disponible

Use of unsupervised classification for the determination of prevailing land use typology / Miha Konjar in Geodetski vestnik, vol 61 n° 4 (December 2017 - February 2018)  

Public [article]  inGeodetski vestnik > vol 61 n° 4 (December 2017 - February 2018) . - pp 541 - 581 Titre : Use of unsupervised classification for the determination of prevailing land use typology Type de document : Article/Communication Auteurs : Miha Konjar, Auteur ; Alma Zavodnik Lamovsek, Auteur ; Dejan Grigillo, Auteur Année de publication : 2017 Article en page(s) : pp 541 - 581 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] agrégation spatiale [Termes IGN] classification non dirigée [Termes IGN] complexité [Termes IGN] densité de population [Termes IGN] données socio-économiques [Termes IGN] image numérique [Termes IGN] indicateur spatial [Termes IGN] occupation du sol [Termes IGN] Slovénie [Termes IGN] utilisation du sol [Termes IGN] zone homogène Résumé : (Auteur) This paper presents classification methods that enable the division of space into homogeneous areas that combine the spatial characteristics with influence on land use and changes thereof. It was determined that the existing methods do not always include the criteria needed for the aggregation of spatial units into homogeneous groups. The results of the analysis showed that the identified homogenous groups do not fully capture the spatial complexity and diversity important for land use change analyses. For this reason, a new approach to the classification of spatial units based on the unsupervised classification of digital images was proposed. The methodology includes the selection of appropriate indicators, that consider land use more comprehensively and thus enable better classification results. The use of the unsupervised classification method for prevailing land use typology has been tested in Slovenia. At the municipal level, seven types of prevailing land use were identified. Numéro de notice : A2017-777 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.15292//geodetski-vestnik.2017.04.541-581 En ligne : http://www.geodetski-vestnik.com/61/4/gv61-4_konjar.pdf Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88981 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
139-2017041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions / Stephen Maguire in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1334 - 1358 Titre : Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions Type de document : Article/Communication Auteurs : Stephen Maguire, Auteur ; Martin Tomko, Auteur Année de publication : 2017 Article en page(s) : pp 1334 - 1358 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données cartographiques [Termes IGN] cohérence des données [Termes IGN] données localisées des bénévoles [Termes IGN] exhaustivité des données [Termes IGN] maturité des données [Termes IGN] mesure de la qualité [Termes IGN] mise à jour de base de données [Termes IGN] OpenStreetMap [Termes IGN] temps instantané [Termes IGN] zone homogène Résumé : (Auteur) Map databases traditionally capture snapshot representations of the world following strict data collection and representation guidelines. The content of these map databases is often assessed using data quality metrics focusing on accuracy, completeness and consistency. The success of volunteered geographic information, supporting evolving representations of the world based on fluid guidelines, has rendered these measures insufficient. In this paper, we address the need to capture the variability in quality of a map database. We propose a new spatial data quality measure – dataset maturity – enabling assessment of the database based on temporal trends in feature definitions, specifically geometry-type definitions. The proposed measure can be (1) efficiently used to identify feature definition patterns reflecting community consensus that could be formalised in community guidelines and (2) deployed to identify regions that would benefit from increased editorial activity to achieve greater map homogeneity. We demonstrate the measure based on the content of the OpenStreetMap database in four regions of the world and show how the proposed dataset maturity measure captures a distinct quality of the datasets, distinct to data completeness and consistency. Numéro de notice : A2017-304 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1287370 En ligne : http://dx.doi.org/10.1080/13658816.2017.1287370 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85351 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2017041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2017042	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Adaptive spectral–spatial compression of hyperspectral image with sparse representation / Wei Fu in IEEE Transactions on geoscience and remote sensing, vol 55 n° 2 (February 2017)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 55 n° 2 (February 2017) . - pp 671 - 682 Titre : Adaptive spectral–spatial compression of hyperspectral image with sparse representation Type de document : Article/Communication Auteurs : Wei Fu, Auteur ; Shutao Li, Auteur ; Leyuan Fang, Auteur ; Jon Atli Benediktsson, Auteur Année de publication : 2017 Article en page(s) : pp 671 - 682 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] codage [Termes IGN] compression d'image [Termes IGN] image hyperspectrale [Termes IGN] pixel [Termes IGN] représentation parcimonieuse [Termes IGN] zone homogène Résumé : (Auteur) Sparse representation (SR) can transform spectral signatures of hyperspectral pixels into sparse coefficients with very few nonzero entries, which can efficiently be used for compression. In this paper, a spectral-spatial adaptive SR (SSASR) method is proposed for hyperspectral image (HSI) compression by taking advantage of the spectral and spatial information of HSIs. First, we construct superpixels, i.e., homogeneous regions with adaptive sizes and shapes, to describe HSIs. Since homogeneous regions usually consist of similar pixels, pixels within each superpixel will be similar and share similar spectral signatures. Then, the spectral signatures of each superpixel can be simultaneously coded in the SR model to exploit their joint sparsity. Since different superpixels generally have different performances of SR, their rate-distortion performances in the sparse coding will be different. To achieve the best possible overall rate-distortion performance, an adaptive coding scheme is introduced to adaptively assign distortions to superpixels. Finally, the obtained sparse coefficients are quantized and entropy coded and constitute the final bitstream with the coded superpixel map. The experimental results over several HSIs show that the proposed SSASR method outperforms some state-of-the-art HSI compression methods in terms of the rate-distortion and spectral fidelity performances. Numéro de notice : A2017-141 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2613848 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2613848 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84629 [article]

Segmentation sémantique de peuplements forestiers par analyse conjointe d’imagerie multispectrale très haute résolution et de données 3D Lidar aéroportées / Clément Dechesne (2017)  

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Parallel computing in photogrammetry / Andrey Sechin in GIM international, vol 30 n° 1 (January 2016)

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Carte de Kohonen et classification ascendante hiérarchique pour l’analyse de données géohistoriques / Ana-Maria Olteanu-Raimond in Revue internationale de géomatique, vol 25 n° 4 (octobre - décembre 2015)  

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Apport de l'imagerie très haute résolution spatiale pour la caractérisation de la densité urbaine / Laurent Bouffier in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)  

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An approach to the radiometric aerotriangulation of photogrammetric images / David Hernandez-Lopez in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)  

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Polarimetric and interferometric SAR image partition into statistically homogeneous regions based on the minimization of the stochastic complexity / J. Morio in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 2 (November 2007)  

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The effect of inhomogeneities in the lower atmosphere on coordinates determined from GPS measurements / Olivier Bock in Physics and chemistry of the Earth (A/B/C), vol 27 n° 4-5 ([01/03/2002])  

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Vers une identification automatique des tissus urbains / Myriam Armand in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 106 (Avril 1987)

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Modèles numériques de terrain (MNT) : recherche automatique de points et lignes remarquables : [présenté au] congrès de Paris [1ère partie] / Henri Marcel Dufour in XYZ, n° 24 (septembre - novembre 1985)

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Interprétation des images des satellites Landsat en vue d'études urbaines et régionales / Jules Wilmet in Bulletin [Société Française de Photogrammétrie], n° 69 (Janvier 1978)

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