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Accurate affine invariant image matching using oriented least square / Amin Sedaghat in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)
Titre : Accurate affine invariant image matching using oriented least square Type de document : Article/Communication Auteurs : Amin Sedaghat, Auteur ; Hamid Ebadi, Auteur Année de publication : 2015 Article en page(s) : pp 733 - 793 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement automatique
[Termes IGN] appariement d'images
[Termes IGN] corrélation à l'aide de traits caractéristiques
[Termes IGN] corrélation par moindres carrés
[Termes IGN] détection de coins Harris
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] MSER (algorithme)Résumé : (auteur) Image matching is a vital process for many photogrammetric and remote sensing applications such as image registration and aerial triangulation. In this paper, an accurate affine invariant image matching approach is presented. The proposed approach consists of three main steps. In the first step, two affine invariant feature detectors, including MSER and Harris-Affine features are applied for feature extraction. In the second step, initial corresponding features are selected using Euclidean distance between feature descriptors, followed by a consistency check process. Finally to overcome low positional accuracy of the local affine feature, an advanced version of the least square matching (LSM) namely, Oriented Least Square Matching (OLSM) is developed. Wellknown LSM method has been widely accepted as one of the most accurate methods to obtain high reliable corresponding points from a stereo image pair. However, it is sensitive to significant geometric distortion and requires very good initial approximation. In the proposed OLSM method, shape and size of the matching window are appropriately approximated using obtained affine shape information of the initial elliptical feature pairs. The proposed method was successfully applied for matching various synthetic and real close range and satellite images. Results demonstrate its accuracy and capability compared to standard LSM method Numéro de notice : A2015-986 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.9.733 En ligne : https://doi.org/10.14358/PERS.81.9.733 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80267
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 9 (September 2015) . - pp 733 - 793[article]
Titre : Tracking road centrelines from high resolution remote sensing images by least squares correlation matching Type de document : Article/Communication Auteurs : S.R. Park, Auteur ; T. Kim, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 1417 - 1422 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] axe médian
[Termes IGN] corrélation par moindres carrés
[Termes IGN] extraction du réseau routier
[Termes IGN] extraction semi-automatique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] réseau routier
[Termes IGN] SéoulRésumé : (Auteur) This paper describes a semi-automatic algorithm for tracking road centerlines from satellite images at 1 m resolution. We assume that road centerlines are visible in the image and that among points on road centerlines similarity transformation holds. Previous approaches proposed for semi-automatic road extraction include energy minimization and template matching with global enforcement. In this paper we will show that least squares correlation matching alone can work for tracking road centerlines. Our algorithm works by defining a template around a user-given input point, which shall lie on a road centerline, and then by matching the template against the image along the orientation of the road under consideration. Once matching succeeds, new match proceeds by shifting a matched target window further along road orientation. By repeating the process above, we obtain a series of points, which lie on a road centerline successively. An Ikonos image over Seoul area was used for test. The algorithm could successfully extract road centerlines once valid input points were provided from a user. The contribution of this paper is that we proved template matching could offer wider applicability in feature extraction, and we designed a new template matching scheme that worked for feature extraction without global enforcements. Numéro de notice : A2004-503 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1417 En ligne : http://dx.doi.org/10.14358/PERS.70.12.1417 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27020
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1417 - 1422[article]
Titre : Object-space least-squares correlation Type de document : Article/Communication Auteurs : U.V. Helava, Auteur Année de publication : 1988 Article en page(s) : pp 711 - 714 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] aérotriangulation
[Termes IGN] corrélation par moindres carrés
[Termes IGN] espace objet
[Termes IGN] image spatiale
[Termes IGN] photogrammétrie spatialeNuméro de notice : A1988-206 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.isprs.org/proceedings/xxvii/congress/part3/321_XXVII-part3.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24785
in Photogrammetric Engineering & Remote Sensing, PERS > vol 54 n° 6 Tome 1 (june 1988) . - pp 711 - 714[article]
Titre : Digital matching of simulated spot-images Type de document : Rapport Auteurs : Dan Rosenholm, Auteur Editeur : Stockholm : Royal Institute of Technology Année de publication : 1985 Collection : Fotogrammetriska meddelanden, ISSN 0071-8068 num. 2-50 Importance : 134 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement d'images
[Termes IGN] corrélation par moindres carrés
[Termes IGN] image SPOT
[Termes IGN] niveau de gris (image)
[Termes IGN] simulation SPOTIndex. décimale : 35.20 Traitement d'image Résumé : (auteur) The performance of two matching algorithms, a least square method and a correlation coefficient method, on simulated SPOT-images is investigated. The first method minimizes the grey-level difference between the images in an iterative process, while the second maximizes the correlation coefficient. The theoretical expectation of the accuracy ,around 0.1 pixel, when matching images without geometric and radiometric differences but with different sampling patterns was confirmed. The investigation was divided into three parts, matching of images with equal geometry, matching of images with equal radiometry and matching of realistic SPOT-simulations. During normal conditions the matching accuracy was around one third of a pixel, expressed as root mean square deviation. The largest part of the error seems to be caused by the radiometric differences between the images. Improvements on the matching methods are proposed. Note de contenu : Introduction
1- The material
2- Matching algorithms
3- The results
4- Discussion
5- ConclusionNuméro de notice : 24888 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Rapport de recherche Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92939 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 24888-01 35.20 Livre Centre de documentation Télédétection Disponible
