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Assessment of interferometric DEMs from TerraSAR-X stripmap and spotlight stereopairs: case study in Istanbul / G. Seferick Umut in Photogrammetric record, vol 29 n° 146 (June - August 2014)
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Titre : Assessment of interferometric DEMs from TerraSAR-X stripmap and spotlight stereopairs: case study in Istanbul Type de document : Article/Communication Auteurs : G. Seferick Umut, Auteur ; Naci Yastikli, Auteur Année de publication : 2014 Article en page(s) : pp 224 - 240 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] couple stéréoscopique
[Termes IGN] image radar moirée
[Termes IGN] image TerraSAR-X
[Termes IGN] Istanbul (Turquie)
[Termes IGN] mode spotlight
[Termes IGN] modèle numérique de terrain
[Termes IGN] photographie aérienneRésumé : (Auteur) TerraSAR-X (TSX) has led to a new era for synthetic aperture radar (SAR) imaging, offering high-resolution (1 m) data that was not previously available from space. The TSX X-band sensor can be operated in three interferometrically compatible imaging modes: Stripmap (SM), high-resolution Spotlight (HS) and ScanSAR. Due to the low resolution of ScanSAR (16 to 30 m), SM and HS images are preferred for resolution-based applications. This paper attempts to validate and compare the digital elevation models (DEMs) derived from TSX SM and HS image pairs. Digital surface models (DSMs) were generated by interferometry in a part of Istanbul with a variety of ground types. These DSMs were converted to DEMs by filtering and then compared with a reference DEM produced from aerial photographs. The quality assessment was performed using advanced analyses concerned with accuracy and morphologic detail. The results of both absolute and relative accuracy analyses clearly reveal that the quality of the TSX HS DEM is better than SM and very consistent with the reference model. Numéro de notice : A2014-282 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12062 Date de publication en ligne : 15/06/2014 En ligne : https://doi.org/10.1111/phor.12062 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33185
in Photogrammetric record > vol 29 n° 146 (June - August 2014) . - pp 224 - 240[article]A new geospatial overlay method for the analysis and visualization of spatial change patterns using object-oriented data modeling concepts / Dirk Tiede in Cartography and Geographic Information Science, vol 41 n° 3 (June 2014)
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Titre : A new geospatial overlay method for the analysis and visualization of spatial change patterns using object-oriented data modeling concepts Type de document : Article/Communication Auteurs : Dirk Tiede, Auteur Année de publication : 2014 Article en page(s) : pp 227 - 234 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] analyse comparative
[Termes IGN] couche thématique
[Termes IGN] détection d'objet
[Termes IGN] détection de changement
[Termes IGN] programmation adaptée à l'objet
[Termes IGN] système d'information géographique
[Termes IGN] topologieRésumé : (Auteur) Traditional geographic information system (GIS)-overlay routines usually build on relatively simple data models. Topology is – if at all – calculated on the fly for very specific tasks only. If, for example, a change comparison is conducted between two or more polygon layers, the result leads mostly to a complete and also very complex from–to class intersection. A lot of additional processing steps need to be performed to arrive at aggregated and meaningful results. To overcome this problem a new, automated geospatial overlay method in a topologically enabled (multi-scale) framework is presented. The implementation works with polygon and raster layers and uses a multi-scale vector/raster data model developed in the object-based image analysis software eCognition (Trimble Geospatial Imaging, Munich, Germany). Advantages are the use of the software inherent topological relationships in an object-by-object comparison, addressing some of the basic concepts of object-oriented data modeling such as classification, generalization, and aggregation. Results can easily be aggregated to a change-detection layer; change dependencies and the definition of different change classes are interactively possible through the use of a class hierarchy and its inheritance (parent–child class relationships). Implementation is exemplarily shown for a change comparison of CORINE Land Cover data sets. The result is a flexible and transferable solution which is – if parameterized once – fully automated. Numéro de notice : A2014-315 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/15230406.2014.901900 En ligne : https://doi.org/10.1080/15230406.2014.901900 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33218
in Cartography and Geographic Information Science > vol 41 n° 3 (June 2014) . - pp 227 - 234[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Performance evaluation of object-based and pixel-based building detection algorithms from very high spatial resolution imagery / Iman Khosravi in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 6 (June 2014)
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Titre : Performance evaluation of object-based and pixel-based building detection algorithms from very high spatial resolution imagery Type de document : Article/Communication Auteurs : Iman Khosravi, Auteur ; Mehdi Momeni, Auteur ; Maryam Rahnemoonfar, Auteur Année de publication : 2014 Article en page(s) : pp 519 - 528 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification orientée objet
[Termes IGN] classification pixellaire
[Termes IGN] détection du bâti
[Termes IGN] erreur de classification
[Termes IGN] image à très haute résolution
[Termes IGN] segmentation d'imageRésumé : (Auteur) Building detection from remote sensed images is the main technique to monitor economic or environmental develop-ment of an area. Advanced Land Observing Satellite (alos) and SPOT data are reliable sources due to the limitation of weather, position, time, and other practical reasons. How-ever, to the best of our knowledge, algorithms proposed in the identification of buildings mostly aim only at images with very high spatial resolution or high spectral resolution. There are few algorithms for detecting buildings from ALOS and SPOT data. A built-up detection index (bdi) is proposed in this paper to automatically identify buildings from images with 10 meters resolution. It synthesizes morphological theory and normalized differential vegetation index (NDVl) to enhance buildings by suppressing vegetation. Four images of ALOS and SPOT are used to verify the efficiency, stability and ac-curacy of BDI. Experiments show that BDI is suitable to detect buildings from 10 meters resolution with reliable accuracy. Numéro de notice : A2014-291 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.6.519-528 En ligne : https://doi.org/10.14358/PERS.80.6.519-528 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33194
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 6 (June 2014) . - pp 519 - 528[article]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)
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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]State of the art in high density image matching / Fabio Remondino in Photogrammetric record, vol 29 n° 146 (June - August 2014)
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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]The European way: Performance of the Galileo single-frequency ionospheric correction during in-orbit validation / Roberto Prieto-Cerdeira in GPS world, vol 25 n° 6 (June 2014)
PermalinkApplication of SWACI products as ionospheric correction for single-point positioning: a comparative study / David Minkwitz in Journal of geodesy, vol 88 n° 5 (May 2014)
PermalinkComparisons of atmospheric mass variations derived from ECMWF reanalysis and operational fields, over 2003–2011 / E. Forootan in Journal of geodesy, vol 88 n° 5 (May 2014)
PermalinkA comparative analysis of traveling salesman solutions from geographic information systems / Kevin M. Curtin in Transactions in GIS, vol 18 n° 2 (April 2014)
PermalinkA comparative study of two approaches for supporting optimal network location queries / Parisa Ghaemi in Geoinformatica, vol 18 n° 2 (April 2014)
PermalinkComparison among three harmonic analysis techniques on the sphere and the ellipsoid / Hussein Abd-Elmotaal in Journal of applied geodesy, vol 8 n° 1 (April 2014)
PermalinkEffect of the processing methodology on satellite altimetry-based global mean sea level rise over the Jason-1 operating period / Olivier Henry in Journal of geodesy, vol 88 n° 4 (April 2014)
PermalinkInstantaneous BeiDou+GPS RTK positioning with high cut-off elevation angles / Peter J.G. Teunissen in Journal of geodesy, vol 88 n° 4 (April 2014)
PermalinkBenchmarking framework for SAR despeckling / Gerardo Di Martino in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)
PermalinkCarbon stock changes of forest land in Finland under different levels of wood use and climate change / Risto Sievänen in Annals of Forest Science, vol 71 n° 2 (March 2014)
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