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SAR-SIFT : a SIFT-like algorithm for SAR images / Flora Dellinger in IEEE Transactions on geoscience and remote sensing, vol 53 n° 1 (January 2015)
[article]
Titre : SAR-SIFT : a SIFT-like algorithm for SAR images Type de document : Article/Communication Auteurs : Flora Dellinger, Auteur ; Julien Delon, Auteur ; Yann Gousseau, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 453 - 466 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] chatoiement
[Termes IGN] image radar moirée
[Termes IGN] SIFT (algorithme)Résumé : (Auteur) The scale-invariant feature transform (SIFT) algorithm and its many variants are widely used in computer vision and in remote sensing to match features between images or to localize and recognize objects. However, mostly because of speckle noise, it does not perform well on synthetic aperture radar (SAR) images. In this paper, we introduce a SIFT-like algorithm specifically dedicated to SAR imaging, which is named SAR-SIFT. The algorithm includes both the detection of keypoints and the computation of local descriptors. A new gradient definition, yielding an orientation and a magnitude that are robust to speckle noise, is first introduced. It is then used to adapt several steps of the SIFT algorithm to SAR images. We study the improvement brought by this new algorithm, as compared with existing approaches. We present an application of SAR-SIFT to the registration of SAR images in different configurations, particularly with different incidence angles. Numéro de notice : A2015-038 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2323552 En ligne : https://doi.org/10.1109/TGRS.2014.2323552 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75120
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 1 (January 2015) . - pp 453 - 466[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2015011 RAB Revue Centre de documentation En réserve L003 Disponible A robust image matching method based on optimized BaySAC / Zhizhong Kang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 11 (November 2014)
[article]
Titre : A robust image matching method based on optimized BaySAC Type de document : Article/Communication Auteurs : Zhizhong Kang, Auteur ; Fengman Jia, Auteur ; Liqiang Zhang, Auteur Année de publication : 2014 Article en page(s) : pp 1041 - 1052 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] appariement automatique
[Termes IGN] appariement d'images
[Termes IGN] classification bayesienne
[Termes IGN] couple stéréoscopique
[Termes IGN] méthode robuste
[Termes IGN] Ransac (algorithme)
[Termes IGN] SIFT (algorithme)Résumé : (Auteur)This paper proposes a robust image-matching method, which integrates SIFT with the optimized Bayes SAmpling Consensus (BaySAC). As the point correspondences are likely contaminated by outliers, we present a novel robust estimation method involving an efficient RaySAC for eliminating falsely accepted correspondences. The key points of the proposed hypothesis testing algorithm are determining and updating the prior probabilities of pseudo-correspondences. First, we propose a strategy for prior probability determination in terms of the statistical characteristics of a deterministic mathematical model for hypothesis testing. Moreover, the inlier probability updating is simplified based on a memorable form of Bayes' Theorem. The proposed approach is validated on a variety of image pairs. The results indicate that when compared with the performance of RANdom SAmpling Consensus (IIANSAC) and the original BaySAC, the proposed optimized BaySAC consumes less computation and obtains higher matching accuracy when the hypothesis set is contaminated with more outliers. Numéro de notice : A2014-616 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.11.1041 En ligne : https://doi.org/10.14358/PERS.80.11.1041 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74922
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 11 (November 2014) . - pp 1041 - 1052[article]Image matching using SIFT features and relaxation labeling technique—A constraint initializing method for dense stereo matching / Jyoti Joglekar in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)
[article]
Titre : Image matching using SIFT features and relaxation labeling technique—A constraint initializing method for dense stereo matching Type de document : Article/Communication Auteurs : Jyoti Joglekar, Auteur ; Shirish S. Gedam, Auteur ; B.K. Mohan, Auteur Année de publication : 2014 Article en page(s) : pp 5643 - 5652 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] appariement dense
[Termes IGN] processus stochastique
[Termes IGN] SIFT (algorithme)
[Termes IGN] vision stéréoscopiqueRésumé : (Auteur) A probabilistic neural-network-based feature-matching algorithm for a stereo image pair is presented in this paper, which will be useful as a constraint initializing method for further dense matching technique. In this approach, scale-invariant feature transform (SIFT) features are used to detect interest points in a stereo image pair. The descriptor which is associated with each keypoint is based on the histogram of the gradient magnitude and direction of gradients. These descriptors are the preliminary input for the matching algorithm. Using disparity range computed by visual inspection, the search area can be restricted for a given stereo image pair. Reduced search area improves the computation speed. Initial probabilities of matches are assigned to the keypoints which are considered as probable matches from the selected search area by Bayesian reasoning. The probabilities of all such matches are improved iteratively using relaxation labeling technique. Neighboring probable matches are exploited to improve the probability of best match using consistency measures. Confidence measures considering the neighborhood, unicity, and symmetry are some validation techniques which are built into the technique presented here for finding accurate matches. The algorithm is found to be effective in matching SIFT features detected in a stereo image pair with greater accuracy, and these accurate correspondences can be used in finding the fundamental matrix which encodes the epipolar geometry between the given stereo image pair. This fundamental matrix can then be used as a constraint for finding inliers that are used in matching methods for deriving dense disparity map. Numéro de notice : A2014-444 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2291685 En ligne : https://doi.org/10.1109/TGRS.2013.2291685 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73981
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 9 Tome 1 (September 2014) . - pp 5643 - 5652[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014091A RAB Revue Centre de documentation En réserve L003 Disponible Semi-automated registration of close-range hyperspectral scans using oriented digital camera imagery and a 3D model / Alessandra A. Sima in Photogrammetric record, vol 29 n° 145 (March - May 2014)
[article]
Titre : Semi-automated registration of close-range hyperspectral scans using oriented digital camera imagery and a 3D model Type de document : Article/Communication Auteurs : Alessandra A. Sima, Auteur ; Simon J. Buckley, Auteur ; Tobias H. Kurz, Auteur ; Danilo Schneider, Auteur Année de publication : 2014 Article en page(s) : pp 10 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] compensation par faisceaux
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image hyperspectrale
[Termes IGN] image panoramique
[Termes IGN] image terrestre
[Termes IGN] orientation externe
[Termes IGN] points homologues
[Termes IGN] SIFT (algorithme)
[Termes IGN] superposition d'imagesRésumé : (Auteur) Diverse applications can benefit from the integration of data acquired by a new generation of close-range imaging sensors with high-resolution three-dimensional (3D) geometric data. However, such integration requires increased automation and efficiency of image-data registration to guarantee adoption by users beyond the geomatics community. This paper presents a semi-automated method for registering terrestrial panoramic hyperspectral imagery with lidar models and conventional digital photography. The method relies on finding corresponding points between images acquired in significantly different parts of the electromagnetic spectrum, from different viewpoints, and with different spatial resolution and geometric projections. Optimisation of the scale invariant feature transform (SIFT) operator was required to ensure a sufficient number of homologous points, as well as a routine for eliminating false matches. A band selection routine maximises the number of points found while minimising the input data for SIFT. Three-dimensional object coordinates were derived in the lidar model and used as control points in a bundle block adjustment to determine the hyperspectral exterior orientation and intrinsic camera parameters. The method developed was applied to two datasets with different characteristics, and the results indicate that the proposed method is a time-saving alternative to manual approaches. Numéro de notice : A2014-153 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12049 Date de publication en ligne : 13/02/2014 En ligne : https://doi.org/10.1111/phor.12049 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33058
in Photogrammetric record > vol 29 n° 145 (March - May 2014) . - pp 10 - 29[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 106-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Automatic orientation and 3D modelling from markerless rock art imagery / J. Lerma in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)
[article]
Titre : Automatic orientation and 3D modelling from markerless rock art imagery Type de document : Article/Communication Auteurs : J. Lerma, Auteur ; S. Navarro, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 64 - 75 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] appariement d'images
[Termes IGN] art rupestre
[Termes IGN] compensation par bloc
[Termes IGN] compensation par faisceaux
[Termes IGN] corrélation croisée normalisée
[Termes IGN] image terrestre
[Termes IGN] modélisation 3D
[Termes IGN] orientation d'image
[Termes IGN] SIFT (algorithme)
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) This paper investigates the use of two detectors and descriptors on image pyramids for automatic image orientation and generation of 3D models. The detectors and descriptors replace manual measurements and are used to detect, extract and match features across multiple imagery. The Scale-Invariant Feature Transform (SIFT) and the Speeded Up Robust Features (SURF) will be assessed based on speed, number of features, matched features, and precision in image and object space depending on the adopted hierarchical matching scheme. The influence of applying in addition Area Based Matching (ABM) with normalised cross-correlation (NCC) and least squares matching (LSM) is also investigated. The pipeline makes use of photogrammetric and computer vision algorithms aiming minimum interaction and maximum accuracy from a calibrated camera. Both the exterior orientation parameters and the 3D coordinates in object space are sequentially estimated combining relative orientation, single space resection and bundle adjustment. The fully automatic image-based pipeline presented herein to automate the image orientation step of a sequence of terrestrial markerless imagery is compared with manual bundle block adjustment and terrestrial laser scanning (TLS) which serves as ground truth. The benefits of applying ABM after FBM will be assessed both in image and object space for the 3D modelling of a complex rock art shelter. Numéro de notice : A2013-093 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.08.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.08.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32231
in ISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 64 - 75[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013021 RAB Revue Centre de documentation En réserve L003 Disponible Appariement entre images de point de vue éloignés par utilisation de carte de profondeur / Narut Soontranon (2013)PermalinkMise en correspondance de points 3D obtenus avec une grande "base-line" / Narut Soontranon (Juin 2013)PermalinkImage matching of satellite data based on quadrilateral control networks / A. Sedaghat in Photogrammetric record, vol 27 n° 140 (December 2012 - February 2013)PermalinkA vector sift detector for interest point detection in hyperspectral imagery / L. Dorado-Munoz in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)PermalinkExtraction of vineyards out of aerial photo-image using texture information / Arnaud Le Bris in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)PermalinkFast and automatic image-based registration of TLS data / M. Weimann in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)PermalinkAutomatic georeferencing of aerial images using stereo high-resolution satellite images / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 11 (November 2011)PermalinkPhotogrammetric processing of low-altitude images acquired by unpiloted aerial vehicles / Y. Zhang in Photogrammetric record, vol 26 n° 134 (June - August 2011)PermalinkPermalinkPermalink