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Termes IGN > sciences naturelles > physique > traitement d'image > analyse d'image numérique > extraction de traits caractéristiques
extraction de traits caractéristiquesSynonyme(s)extraction des caractéristiques extraction de primitiveVoir aussi |
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A region-line primitive association framework for object-based remote sensing image analysis / Wang Min in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 2 (February 2016)
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Titre : A region-line primitive association framework for object-based remote sensing image analysis Type de document : Article/Communication Auteurs : Wang Min, Auteur ; Wang Jie, Auteur Année de publication : 2016 Article en page(s) : pp 149 - 159 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse d'image orientée objet
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] primitive géométrique
[Termes IGN] primitive topologique
[Termes IGN] réseau routier
[Termes IGN] segmentation d'image
[Termes IGN] zone d'intérêtRésumé : (auteur) In this study, we propose a novel region-line primitive association framework (RLPAF) for OBIA. In this framework, segments (region primitive) and straight lines (line primitive) are obtained by image segmentation and straight line detection, respectively, before their corresponding intra-primitive features are extracted. An association model is built on inter-primitive topology and direction relationships. Several region-line collaborative features are also derived. Image analysis is then performed based on both region and line primitives. The advantage of RLPAF is the collaborative utilization of complementary information between regions and lines throughout the entire OBIA process: from image segmentation, to feature extraction, and finally, object recognition. To validate this framework, RLPAF is applied on road network extraction from high spatial resolution (HSR) remote sensing images. Experiments show that the proposed framework and methods refine primitive shape and spatial relationship analyses, as well as obtain higher method accuracy, than OBIAs based on only regions. Numéro de notice : A2016-056 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.2.149 En ligne : http://dx.doi.org/10.14358/PERS.82.2.149 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79657
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 2 (February 2016) . - pp 149 - 159[article]Seamline determination for high resolution orthoimage mosaicking using watershed segmentation / Wang Mi in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 2 (February 2016)
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Titre : Seamline determination for high resolution orthoimage mosaicking using watershed segmentation Type de document : Article/Communication Auteurs : Wang Mi, Auteur ; Yuan Shenggu, Auteur ; Pan Jun, Auteur Année de publication : 2016 Article en page(s) : pp 121 - 133 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] chemin le plus court, algorithme du
[Termes IGN] classification pixellaire
[Termes IGN] coefficient de corrélation
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image aérienne
[Termes IGN] mosaïquage d'images
[Termes IGN] orthoimage
[Termes IGN] orthophotoplan numérique
[Termes IGN] raccord d'images
[Termes IGN] segmentation d'image
[Termes IGN] zone d'intérêtRésumé : (auteur) Image mosaicking is a process during which multiple orthoimages are combined into a single seamless composite orthoimage. One of the most difficult steps in the automatic mosaicking of orthoimages is the seamline determination. This paper presents a novel algorithm that selects seamlines based on marker-based watershed segmentation. A representative seamline is extracted at the object level and the pixel level as follows. First, a watershed segmentation is performed to obtain the objects. To avoid over-segmentation, a regional adaptive marker-based watershed segmentation is proposed. Second, the object difference estimated by the correlation coefficient of each object is calculated, and the region adjacency matrix is built. Third, a technique for minimizing the maximum object cost is adopted to determine the objects through which the seamlines pass. Finally, pixel-level optimization is performed using Dijkstra's algorithm with a binary min-heap to determine the final seamlines. The experimental results on digital aerial orthoimages in different areas demonstrate the feasibility and effectiveness of the proposed method compared with other algorithms. Numéro de notice : A2016-055 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.2.121 En ligne : https://doi.org/10.14358/PERS.82.2.121 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79656
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 2 (February 2016) . - pp 121 - 133[article]
Titre : Evaluation of SIFT and SURF for vision based localization Type de document : Article/Communication Auteurs : Xiaozhi Qu , Auteur ; Bahman Soheilian
, Auteur ; Emmanuel Habets
, Auteur ; Nicolas Paparoditis
, Auteur
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2016 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 41-B3 Conférence : ISPRS 2016, Commission 3, 23th international congress 12/07/2016 19/07/2016 Prague République tchèque ISPRS OA Archives Commission 3 Importance : pp 685 - 692 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] compensation locale par faisceaux
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] localisation basée vision
[Termes IGN] point d'intérêt
[Termes IGN] SIFT (algorithme)
[Termes IGN] SURF (algorithme)Résumé : (auteur) Vision based localization is widely investigated for the autonomous navigation and robotics. One of the basic steps of vision based localization is the extraction of interest points in images that are captured by the embedded camera. In this paper, SIFT and SURF extractors were chosen to evaluate their performance in localization. Four street view image sequences captured by a mobile mapping system, were used for the evaluation and both SIFT and SURF were tested on different image scales. Besides, the impact of the interest point distribution was also studied. We evaluated the performances from for aspects: repeatability, precision, accuracy and runtime. The local bundle adjustment method was applied to refine the pose parameters and the 3D coordinates of tie points. According to the results of our experiments, SIFT was more reliable than SURF. Apart from this, both the accuracy and the efficiency of localization can be improved if the distribution of feature points are well constrained for SIFT. Numéro de notice : C2016-039 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLI-B3-685-2016 Date de publication en ligne : 10/06/2016 En ligne : https://doi.org/10.5194/isprs-archives-XLI-B3-685-2016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91851 Documents numériques
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Evaluation of SIFT and SURF ... - pdf éditeurAdobe Acrobat PDFObject-oriented semantic labelling of spectral–spatial LiDAR point cloud for urban land cover classification and buildings detection / Anandakumar M. Ramiya in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)
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Titre : Object-oriented semantic labelling of spectral–spatial LiDAR point cloud for urban land cover classification and buildings detection Type de document : Article/Communication Auteurs : Anandakumar M. Ramiya, Auteur ; Rama Rao Nidamanuri, Auteur ; R. Krishnan, Auteur Année de publication : 2016 Article en page(s) : pp 121 - 139 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] classificateur
[Termes IGN] détection de partie cachée
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image multibande
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de pointsRésumé : (Auteur) The urban land cover mapping and automated extraction of building boundaries is a crucial step in generating three-dimensional city models. This study proposes an object-based point cloud labelling technique to semantically label light detection and ranging (LiDAR) data captured over an urban scene. Spectral data from multispectral images are also used to complement the geometrical information from LiDAR data. Initial object primitives are created using a modified colour-based region growing technique. Multiple classifier system is then applied on the features extracted from the segments for classification and also for reducing the subjectivity involved in the selection of classifier and improving the precision of the results. The proposed methodology produces two outputs: (i) urban land cover classes and (ii) buildings masks which are further reconstructed and vectorized into three-dimensional buildings footprints. Experiments carried out on three airborne LiDAR datasets show that the proposed technique successfully discriminates urban land covers and detect urban buildings. Numéro de notice : A2016-106 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1034195 Date de publication en ligne : 06/05/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1034195 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80001
in Geocarto international > vol 31 n° 1 - 2 (January - February 2016) . - pp 121 - 139[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2016011 RAB Revue Centre de documentation En réserve L003 Disponible Road vectorisation from high-resolution imagery based on dynamic clustering using particle swarm optimisation / Fateme Ameri in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)
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Titre : Road vectorisation from high-resolution imagery based on dynamic clustering using particle swarm optimisation Type de document : Article/Communication Auteurs : Fateme Ameri, Auteur ; Mohammad Javad Valadan Zoej, Auteur Année de publication : 2015 Article en page(s) : pp 363 - 386 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification automatique d'objets
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image aérienne
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] optimisation par essaim de particules
[Termes IGN] réseau routier
[Termes IGN] vectorisationRésumé : (auteur) This paper introduces an innovative automatic road-vectorisation algorithm based on dynamic pixel clustering using particle swarm optimisation. A new cost function is designed to optimise the number and position of road keypoints and is capable of deriving road centrelines without considering geometric, spectral or topological characteristics in the road model. The algorithm is applied to different high-resolution images (IKONOS, QuickBird and aerial photographs) and is evaluated with respect to RMSE, correctness and completeness. Moreover, a new quality parameter is defined to evaluate a “kinking” effect in roads. Extraction of different road shapes with an acceptable precision in both urban and rural environments proves the efficiency of the algorithm in yielding complete road networks. Numéro de notice : A2015-827 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12123 Date de publication en ligne : 15/12/2015 En ligne : https://doi.org/10.1111/phor.12123 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79123
in Photogrammetric record > vol 30 n° 152 (December 2015 - February 2016) . - pp 363 - 386[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 106-2015041 RAB Revue Centre de documentation En réserve L003 Disponible An automated method to register airborne and terrestrial laser scanning point clouds / Bisheng Yang in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkFusion of waveform LiDAR data and hyperspectral imagery for land cover classification / Hongzhou Wang in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)
PermalinkA geometric method for wood-leaf separation using terrestrial and simulated Lidar data / Shengli Tao in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)
PermalinkTriangulating social multimedia content for event localization using Flickr and Twitter / George Panteras in Transactions in GIS, vol 19 n° 5 (October 2015)
PermalinkTwo dimensional linear discriminant analyses for hyperspectral data / Maryam Imani in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)
PermalinkAccurate affine invariant image matching using oriented least square / Amin Sedaghat in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)
PermalinkMeasuring the effectiveness of various features for thematic information extraction from very high resolution remote sensing imagery / X. Chen in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)
PermalinkRegistration of aerial imagery and lidar data in desert areas using sand ridges / Na Li in Photogrammetric record, vol 30 n° 151 (September - November 2015)
PermalinkFull-waveform data for building roof step edge localization / Małgorzata Słota in ISPRS Journal of photogrammetry and remote sensing, vol 106 (August 2015)
PermalinkAutomatic transformation of different levels of detail in 3D GIS city models in CityGML / Yichuan Deng in International journal of 3-D information modeling, vol 4 n° 3 (July - September 2015)
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