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Registration and visualisation of deformation maps from terrestrial radar interferometry using photogrammetry and structure from motion / Rafael Caduff in Photogrammetric record, vol 29 n° 146 (June - August 2014)
[article]
Titre : Registration and visualisation of deformation maps from terrestrial radar interferometry using photogrammetry and structure from motion Type de document : Article/Communication Auteurs : Rafael Caduff, Auteur ; Dirk Rieke-Zapp, Auteur Année de publication : 2014 Article en page(s) : pp 167 - 186 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] caméra numérique
[Termes IGN] chambre métrique
[Termes IGN] déformation d'image
[Termes IGN] image terrestre
[Termes IGN] interférométrie radar terrestre
[Termes IGN] photogrammétrie numérique
[Termes IGN] propagation d'erreur
[Termes IGN] recalage d'image
[Termes IGN] semis de pointsRésumé : (Auteur) This paper describes a general workflow for the registration of terrestrial radar interferometric data with 3D point clouds derived from terrestrial photogrammetry and structure from motion. After the determination of intrinsic and extrinsic orientation parameters, data obtained by terrestrial radar interferometry were projected on point clouds and then on the initial photographs. Visualisation of slope deformation measurements on photographs provides an easily understandable and distributable information product, especially of inaccessible target areas such as steep rock walls or in rockfall run-out zones. The suitability and error propagation of the referencing steps and final visualisation of four approaches are compared: (a) the classic approach using a metric camera and stereo-image photogrammetry; (b) images acquired with a metric camera, automatically processed using structure from motion; (c) images acquired with a digital compact camera, processed with structure from motion; and (d) a markerless approach, using images acquired with a digital compact camera using structure from motion without artificial ground control points. The usability of the completely markerless approach for the visualisation of high-resolution radar interferometry assists the production of visualisation products for interpretation. Numéro de notice : A2014-279 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12058 Date de publication en ligne : 15/06/2014 En ligne : https://doi.org/10.1111/phor.12058 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33182
in Photogrammetric record > vol 29 n° 146 (June - August 2014) . - pp 167 - 186[article]Significance analysis of different types of ancillary geodata utilized in a multisource classification process for forest identification in Germany / Michael Förster in IEEE Transactions on geoscience and remote sensing, vol 52 n° 6 Tome 2 (June 2014)
[article]
Titre : Significance analysis of different types of ancillary geodata utilized in a multisource classification process for forest identification in Germany Type de document : Article/Communication Auteurs : Michael Förster, Auteur ; B. Kleinschmit, Auteur Année de publication : 2014 Article en page(s) : pp 3453 - 3463 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse d'image numérique
[Termes IGN] classification floue
[Termes IGN] données multisources
[Termes IGN] forêt
[Termes IGN] image à très haute résolution
[Termes IGN] télédétection spatialeRésumé : (Auteur) Ancillary geodata can supply information to enhance classification accuracy for a variety of remote-sensing applications. To understand the integration of different data into a knowledge-based multisource classification process, this paper evaluates the significance of geodata for the classification accuracy of a very high spatial resolution satellite image for the identification of forest types in Germany. The approach utilizes a fuzzy-logic classifier for the integration of a knowledge base, which combines spectral information with ancillary data layers. The results of the classification were used to test a method for evaluating the influence of the integration of single geodata, the effects on different classes, and the impacts of the applied rules. A microarray significance analysis (MSA) was used to evaluate the significance of the classification results, whereas an ISODATA clustering was utilized for visualizing. A sequence of 50 accuracy assessments of classifications with possible combinations of geodata and rules for the identified classes was derived. The resulting microarray of accuracy percentages of single classes and the overall classification was used for further investigation. The MSA supplies the measure of significance, called relative difference d(i). The MSA identified 11 classifications of positive significance (d(i) greater than 1.44) and three classifications of negative significance (d(i) lower than -2.87). In particular, classifications that contain all rules were rated as positive significant. Numéro de notice : A2014-310 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2273080 En ligne : https://doi.org/10.1109/TGRS.2013.2273080 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33213
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 6 Tome 2 (June 2014) . - pp 3453 - 3463[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014061B RAB Revue Centre de documentation En réserve L003 Disponible State of the art in high density image matching / Fabio Remondino in Photogrammetric record, vol 29 n° 146 (June - August 2014)
[article]
Titre : State of the art in high density image matching Type de document : Article/Communication Auteurs : Fabio Remondino, Auteur ; Maria Grazia, Auteur ; Erica Nocerino, Auteur ; Fabio Menna, Auteur ; Francesco Nex, Auteur Année de publication : 2014 Article en page(s) : pp 144 - 166 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] axe de prise de vue
[Termes IGN] état de l'art
[Termes IGN] image aérienne
[Termes IGN] image terrestre
[Termes IGN] logiciel de traitement d'image
[Termes IGN] semis de pointsRésumé : (Auteur) Image matching has a history of more than 50 years, with the first experiments performed with analogue procedures for cartographic and mapping purposes. The recent integration of computer vision algorithms and photogrammetric methods is leading to interesting procedures which have increasingly automated the entire image-based 3D modelling process. Image matching is one of the key steps in 3D modelling and mapping. This paper presents a critical review and analysis of four dense image-matching algorithms, available as open-source and commercial software, for the generation of dense point clouds. The eight datasets employed include scenes recorded from terrestrial and aerial blocks, acquired with convergent and normal (parallel axes) images, and with different scales. Geometric analyses are reported in which the point clouds produced with each of the different algorithms are compared with one another and also to ground-truth data. Numéro de notice : A2014-278 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12063 Date de publication en ligne : 15/06/2014 En ligne : https://doi.org/10.1111/phor.12063 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33181
in Photogrammetric record > vol 29 n° 146 (June - August 2014) . - pp 144 - 166[article]Subspace matching pursuit for sparse unmixing of hyperspectral data / Zhenwei Shi in IEEE Transactions on geoscience and remote sensing, vol 52 n° 6 Tome 1 (June 2014)
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Titre : Subspace matching pursuit for sparse unmixing of hyperspectral data Type de document : Article/Communication Auteurs : Zhenwei Shi, Auteur ; Wei Tang, Auteur ; Zhana Duren, Auteur ; Zhiguo Jiang, Auteur Année de publication : 2014 Article en page(s) : pp 3256 - 3274 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] appariement d'images
[Termes IGN] image hyperspectrale
[Termes IGN] vecteur aléatoire multidimensionnelRésumé : (Auteur) Sparse unmixing assumes that each mixed pixel in the hyperspectral image can be expressed as a linear combination of only a few spectra (endmembers) in a spectral library, known a priori. It then aims at estimating the fractional abundances of these endmembers in the scene. Unfortunately, because of the usually high correlation of the spectral library, the sparse unmixing problem still remains a great challenge. Moreover, most related work focuses on the l1 convex relaxation methods, and little attention has been paid to the use of simultaneous sparse representation via greedy algorithms (GAs) (SGA) for sparse unmixing. SGA has advantages such as that it can get an approximate solution for the l0 problem directly without smoothing the penalty term in a low computational complexity as well as exploit the spatial information of the hyperspectral data. Thus, it is necessary to explore the potential of using such algorithms for sparse unmixing. Inspired by the existing SGA methods, this paper presents a novel GA termed subspace matching pursuit (SMP) for sparse unmixing of hyperspectral data. SMP makes use of the low-degree mixed pixels in the hyperspectral image to iteratively find a subspace to reconstruct the hyperspectral data. It is proved that, under certain conditions, SMP can recover the optimal endmembers from the spectral library. Moreover, SMP can serve as a dictionary pruning algorithm. Thus, it can boost other sparse unmixing algorithms, making them more accurate and time efficient. Experimental results on both synthetic and real data demonstrate the efficacy of the proposed algorithm. Numéro de notice : A2014-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2272076 En ligne : https://doi.org/10.1109/TGRS.2013.2272076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33211
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 6 Tome 1 (June 2014) . - pp 3256 - 3274[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014061A RAB Revue Centre de documentation En réserve L003 Disponible Traitement des images satellites avec des logiciels libres / Valerio Baiocchi in Géomatique expert, n° 98 (01/06/2014)
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Titre : Traitement des images satellites avec des logiciels libres Type de document : Article/Communication Auteurs : Valerio Baiocchi, Auteur Année de publication : 2014 Article en page(s) : pp 28 - 30 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] image satellite
[Termes IGN] logiciel libre
[Termes IGN] Orfeo Tool Box
[Termes IGN] QGIS
[Termes IGN] traitement d'imageRésumé : (Auteur) Depuis sa version 2.0, QGis incorpore une bibliothèque " glue " appelée Sextante qui permet d'utiliser, sans quitter le logiciel un nombre de fonctions offertes par des bibliothèques tierces. Parmis elles, l'Orfeo Tool Box, une " boîte à outils " orientée télédétection, qui n'a pas à rougir face aux logiciels commerciaux classiques. Présentation des principales fonctionnalités. Numéro de notice : A2014-199 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33102
in Géomatique expert > n° 98 (01/06/2014) . - pp 28 - 30[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 265-2014031 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-001585 PER Revue Nogent-sur-Vernisson Salle périodiques Disponible Unmanned aerial systems for photogrammetry and remote sensing: A review / Ismael Colomina in ISPRS Journal of photogrammetry and remote sensing, vol 92 (June 2014)PermalinkDouble constrained NMF for hyperspectral unmixing / Xiaoqiang Lu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 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)PermalinkPhase quality optimization in polarimetric differential SAR interferometry / Rubén Iglesias in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)PermalinkSlow feature analysis for change detection in multispectral imagery / Chen Wu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)PermalinkTowards (re)constructing narratives from georeferenced photographs through visual analytics / Ralph K. Straumann in Cartographic journal (the), vol 51 n° 2 (May 2014)PermalinkWetland mapping in the upper midwest United States: An object-based approach integrating Lidar and imagery radar / Lian P. Rampi in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 5 (May 2014)Permalink3D Hilbert space filling curves in 3D city modeling for faster spatial queries / Uznir Ujang in International journal of 3-D information modeling, vol 3 n° 2 (April - June 2014)PermalinkBayesian context-dependent learning for anomaly classification in hyperspectral imagery / Christopher Ratto in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)PermalinkChange detection in high-resolution land use/land cover geodatabases (at object level) / Emilio Domenech (01/04/2014)PermalinkEgalisation radiométrique de nuages de points 3D issus de corrélation dense / Luc Girod in Revue Française de Photogrammétrie et de Télédétection, n° 206 (Avril 2014)PermalinkHyperspectral-based adaptive matched filter detector error as a function of atmospheric water vapor estimation / Allan W. Yarbrough in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)PermalinkModélisation de la canopée forestière par photogrammétrie depuis des images acquises par drone / Jonathan Lisein in Revue Française de Photogrammétrie et de Télédétection, n° 206 (Avril 2014)PermalinkProgressive band selection of spectral unmixing for hyperspectral imagery / Chein-I Chang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)PermalinkReconstruct street network from imprecise excavation data using fuzzy Hough transforms / Cyril de Runz in Geoinformatica, vol 18 n° 2 (April 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)PermalinkTrends in the optical Commercial remote Sensing industry (part 2) / Kumar Navulu in GEO: Geoconnexion international, vol 13 n° 4 (april 2014)PermalinkAutomated geometric correction of multispectral images from high resolution CCD Camera (HRCC) on-board CBERS-2 and CBERS-2B / Chabitha Devarj in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)PermalinkAutomatic registration of coastal remotely sensed imagery by affine invariant feature matching with shoreline constraint / Liang Cheng in Marine geodesy, vol 37 n° 1 (March - May 2014)PermalinkCaractérisation de la capacité de rétention de neige d’un plateau karstique. Essai méthodologique pour le plateau du Jabal Jraid (Liban) / Janine Somma in Revue internationale de géomatique, vol 24 n° 1 (mars – mai 2014)Permalink