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Structure from motion for ordered and unordered image sets based on random k-d forests and global pose estimation / Xin Wang in ISPRS Journal of photogrammetry and remote sensing, vol 147 (January 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 147 (January 2019) . - pp 19 - 41 Titre : Structure from motion for ordered and unordered image sets based on random k-d forests and global pose estimation Type de document : Article/Communication Auteurs : Xin Wang, Auteur ; Franz Rottensteiner, Auteur ; Christian Heipke, Auteur Année de publication : 2019 Article en page(s) : pp 19 - 41 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement d'images [Termes IGN] chaîne de traitement [Termes IGN] classification barycentrique [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] compensation par faisceaux [Termes IGN] estimation de pose [Termes IGN] image captée par drone [Termes IGN] matrice de rotation [Termes IGN] orientation relative [Termes IGN] Ransac (algorithme) [Termes IGN] recouvrement d'images [Termes IGN] SIFT (algorithme) [Termes IGN] structure-from-motion [Termes IGN] vision par ordinateur Résumé : (auteur) In this paper, we present a new fast and robust method for structure from motion (SfM) for data sets potentially comprising thousands of ordered or unordered images. Our work focuses on the two most time-consuming procedures: (a) image matching and (b) pose estimation. For image matching, a new method employing a random k-d forest is proposed to quickly obtain pairs of overlapping images from an unordered set. After that, image matching and the estimation of relative orientation parameters are performed only for pairs found to be very likely to overlap. For pose estimation, we use a two-stage global approach, separating the determination of rotation matrices and translation parameters; the latter are computed simultaneously using a new method. In order to cope with outliers in the relative orientations, which global approaches are particularly sensitive to, we present a new constraint based on triplet loop closure errors of rotation and translation. Finally, a robust bundle adjustment is carried out to refine the image orientation parameters. We demonstrate the potential and limitations of our pipeline using various real-world datasets including ordered image data acquired from UAV (unmanned aerial vehicle) and other platforms as well as unordered data from the internet. The experiments show that our work performs better than comparable state-of-the-art SfM systems in terms of run time, while we achieve a similar accuracy and robustness. Numéro de notice : A2019-033 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.11.009 Date de publication en ligne : 15/11/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.11.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91970 [article]

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081-2019012	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Automatic tie-point extraction / Z. Shragai in GIM international, vol 26 n° 4 (April 2012)

Public [article]  inGIM international > vol 26 n° 4 (April 2012) . - pp 31 - 35 Titre : Automatic tie-point extraction Type de document : Article/Communication Auteurs : Z. Shragai, Auteur ; S. Barnea, Auteur ; A. Even-Paz, Auteur Année de publication : 2012 Article en page(s) : pp 31 - 35 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] aérotriangulation numérique [Termes IGN] extraction automatique [Termes IGN] points homologues [Termes IGN] recouvrement d'images Résumé : (Auteur) One of the most complex and time-consuming tasks in the photogrammetric workflow is the extraction of corresponding points in two or more overlapping images. This is the first stage of aerial triangulation and block adjustment aimed at computing the positions of the projection centre and orientation of each image. Automating the extraction of these so-called 'tie-point' can be challenging, especially when non-standard approaches such as cameras mounted on UAVs or oblique imagery are used. The authors present a novel matching method able to handle the most challenging imagery. Numéro de notice : A2012-152 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31599 [article]

Exemplaires(1)

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A slope-based method for matching elevation surfaces / D. Streutker in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 7 (July 2011) . - pp 721 - 732 Titre : A slope-based method for matching elevation surfaces Type de document : Article/Communication Auteurs : D. Streutker, Auteur ; N. Glenn, Auteur ; R. Shresta, Auteur Année de publication : 2011 Article en page(s) : pp 721 - 732 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse comparative [Termes IGN] appariement de données localisées [Termes IGN] appariement géométrique [Termes IGN] données lidar [Termes IGN] hauteur de vol [Termes IGN] Idaho (Etats-Unis) [Termes IGN] pente [Termes IGN] reconstruction d'objet [Termes IGN] recouvrement d'images Résumé : (Auteur) A method is presented for the co-registration of overlapping elevation surfaces based on local slope analysis. Comparison and statistical analysis of local slope versus local elevation difference between overlapping surfaces allows for the estimation of both vertical and horizontal offsets between the two surfaces. This method is then used to re-align the flightlines of a Light Detection and Ranging (lidar) dataset collected in southern Idaho resulting in a dataset with significantly higher accuracy than the original. The relative horizontal accuracy is doubled, with a final value of approximately 25 to 30 cm, while the relative vertical accuracy is improved by several centimeters to a final valm of approximately 6 to 7 cm. Numéro de notice : A2011-315 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.7.743 En ligne : https://doi.org/10.14358/PERS.77.7.743 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31094 [article]

Algorithms for automatic matching of polygons or closed curves derived from different images / Y. Avrahami in SaLIS Surveying and land information science, vol 70 n° 4 (Winter 2010)

Public [article]  inSaLIS Surveying and land information science > vol 70 n° 4 (Winter 2010) . - pp 175 - 185 Titre : Algorithms for automatic matching of polygons or closed curves derived from different images Type de document : Article/Communication Auteurs : Y. Avrahami, Auteur ; Y. Doytsher, Auteur Année de publication : 2010 Article en page(s) : pp 175 - 185 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement d'images [Termes IGN] appariement de formes [Termes IGN] espace image [Termes IGN] extraction de traits caractéristiques [Termes IGN] itération [Termes IGN] points homologues [Termes IGN] polygone [Termes IGN] reconstruction 3D [Termes IGN] reconstruction d'objet [Termes IGN] recouvrement d'images Résumé : (Auteur) Automation in 3-dimension (3D) object reconstruction is a relevant and challenging task, both from a practical and scientific point of view. This paper deals with two basic non-planar primitive objects—spatial polygons and 3D closed curves. To achieve 3D information from a pair of images, with known interior and exterior orientations, it is necessary to first extract t2D objects from each of the images separately, then match the objects to find homologues points between them, and finally reconstruct the 3D object. The matching problem between two objects derived from two different images, has a trivial solution: For each point in the first object the corresponding homologous point in the second object can be found by intersecting its epipolar line and the second object in the second image space. However, because extraction of objects in the image space is performed automatically, the process often fails. For example, when there are a number of intersections per point there is no intersection at all, or there are more points than those existing in the “real” 3D object. To overcome these difficulties, innovative algorithms designed to enable a maximal matching between polygons or closed curves and to find homologues points between them were developed. The algorithms are iterative and are based on the “overlapping criterion” between the objects. According to this criterion, projection of two polygons or closed curves from the image space to any planar surface using the real depths leads to a maximal matching between the objects. The suggested process is based on the well known optimization model called “adjustment by conditions.” One of the 2D polygons or closed curves is chosen as the static object and the other is the dynamic object. The unknowns in this model are the real depths of each point in the dynamic object. The points in the dynamic object are assigned a previously calculated average depth. In each iteration, these depths are updated until the conditional equation is optimized. During the iterations the dynamic object “slides” in the direction of the epipolar line in the image space of the static object. The “slide” rate is not constant because it depends on the varying depths of each point. The iteration process stops when the maximum overlap between the static and dynamic objects is achieved in the image space of the static object. In this paper, the algorithms, the experiments, and the results are detailed. Numéro de notice : A2010-581 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83715 [article]

Exemplaires(1)

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121-2010041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Alternative methodologies for the internal quality control of parallele LIDAR strips / A. Habib in IEEE Transactions on geoscience and remote sensing, vol 48 n° 1 Tome 1 (January 2010)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 48 n° 1 Tome 1 (January 2010) . - pp 221 - 236 Titre : Alternative methodologies for the internal quality control of parallele LIDAR strips Type de document : Article/Communication Auteurs : A. Habib, Auteur ; A.P. Kesrting, Auteur ; K.I. Bang, Auteur ; D.C. Lee, Auteur Année de publication : 2010 Article en page(s) : pp 221 - 236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] bruit (théorie du signal) [Termes IGN] contrôle qualité [Termes IGN] données lidar [Termes IGN] erreur systématique [Termes IGN] lasergrammétrie [Termes IGN] procédé [Termes IGN] recouvrement d'images [Termes IGN] semis de points Résumé : (Auteur) Light Detection and Ranging (LiDAR) systems have been widely adopted for the acquisition of dense and accurate topographic data over extended areas. Although the utilization of this technology has increased in different applications, the development of standard methodologies for the quality control (QC) of LiDAR data has not followed the same trend. In other words, a lack in reliable, practical, cost-effective, and commonly acceptable QC procedures is evident. A frequently adopted procedure for QC is comparing the LiDAR data to ground control points. Aside from being expensive, this approach is not accurate enough for the verification of horizontal accuracy, unless specifically designed LiDAR targets are used. This paper is dedicated to providing accurate, economical, and convenient internal QC procedures for the evaluation of LiDAR data, which is captured from parallel flight lines. The underlying concept of the proposed methodologies is that, in the absence of systematic and random errors in system parameters and measurements, conjugate surface elements in overlapping strips should perfectly match each other. Consistent incompatibilities and the quality of fit between conjugate surface elements in overlapping strips can be used to detect systematic errors in the system parameters/measurements and to evaluate the noise level in the LiDAR point cloud, respectively. Experimental results from real data demonstrate that all the proposed methods, with one exception, produce compatible estimates of systematic discrepancies between the involved data sets, as well as good quantification of inherent noise. Copyright IEEE Numéro de notice : A2010-020 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2009.2026424 Date de publication en ligne : 15/09/2009 En ligne : https://doi.org/10.1109/TGRS.2009.2026424 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30216 [article]

Exemplaires(1)

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Numérique contre argentique : l'exemple de la caméra DiMAC / J. Losseau in Géomatique expert, n° 41- 42 (01/03/2005)

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Reconnaissance de matériaux sur des images aériennes en multirecouvrement, par identification de fonctions de réflectances bidirectionnelles / Gilles Martinoty (2005) 

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Segmentation of remotely sensed images using wavelet and their evaluation in soft computing framework / M. Acharyya in IEEE Transactions on geoscience and remote sensing, vol 41 n° 12 (December 2003)  

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Large-area land-cover mapping through scene-based classification compositing / B. Guindon in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)  

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Object detection using transformed signatures in multitemporal hyperspectral imagery / R. Mayer in IEEE Transactions on geoscience and remote sensing, vol 40 n° 4 (April 2002)  

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True orthoimages: recovering full 100 per cent scenes using digital surface models / W. Mayr in GIM international, vol 16 n° 4 (April 2002)

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Genauigkeitsuntersuchungen zur GPS/INS-Integration in der Aerophotogrammetrie / Michael Cramer (2001)  

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Structures spatiales irrégulières dans les images de télédétection / Gérard Ramstein (1989)

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Non-parametric test of overlap in multispectral classification / Andrew K. Skidmore in International Journal of Remote Sensing IJRS, vol 9 n° 4 (April 1988)  

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Matching of features in overlapping areas of photogrammetric models / Y. Doytsher (29/03/1987)

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