Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 79 n° 4Paru le : 01/04/2013 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierRational function model in processing historical aerial photographs / Ruijin Ma in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)
[article]
Titre : Rational function model in processing historical aerial photographs Type de document : Article/Communication Auteurs : Ruijin Ma, Auteur Année de publication : 2013 Article en page(s) : pp 337 - 345 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] image numérisée
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modélisation de prise de vue
[Termes IGN] orthorectification
[Termes IGN] photographie aérienne
[Termes IGN] photographie argentique
[Termes IGN] point d'appuiRésumé : (Auteur) A large amount of aerial photographs were acquired early 1900s for various purposes. These aerial photographs provide valuable baseline data for a variety of environmental studies. To be used for analysis together with other data, these photographs need to be referenced to a ground coordinate system. Often large topographical variations in photo ground coverage demand these photographs be orthorectified using photogrammetric methods for acceptable mapping accuracy. However, camera models for these historical photographs are usually unavailable. Additionally, land-cover change over the years makes it a great challenge to collect accurate control points for calculating camera models. This study investigated the rational function model to orthorectify historical aerial photographs. The analysis results suggest that while the linear, the 2nd order, and the 3rd order BFMs are all able to closely approximate the rigorous frame camera model, the linear RFM is optimal in representing imaging geometries of historical photographs. Numéro de notice : A2013-204 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.4.337 En ligne : https://doi.org/10.14358/PERS.79.4.337 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32342
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 4 (April 2013) . - pp 337 - 345[article]An experimental comparison of semi-supervised learning algorithms for multispectral image classification / Enmei Tu in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)
[article]
Titre : An experimental comparison of semi-supervised learning algorithms for multispectral image classification Type de document : Article/Communication Auteurs : Enmei Tu, Auteur ; Jie Yang, Auteur ; Jiangxiong Fang, Auteur ; Zhenghong Jia, Auteur ; Nikola Kasabov, Auteur Année de publication : 2013 Article en page(s) : pp 347 - 357 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme d'apprentissage
[Termes IGN] analyse comparative
[Termes IGN] apprentissage dirigé
[Termes IGN] graphe
[Termes IGN] image hyperspectrale
[Termes IGN] image Landsat
[Termes IGN] image multibande
[Termes IGN] série de TaylorRésumé : (Auteur) Semi-Supervised Learning (SSL) method has recently caught much attention in the fields of machine learning and computer vision owing to its superiority in classifying abundant unlabelled samples using a few labeled samples. The goal of this paper is to provide an experimental efficiency comparison between graph based SSL algorithms and traditional supervised learning algorithms (e.g., support vector machines) for multispectral image classification. This research shows that SSL algorithms generally outperform supervised learning algorithms in both classification accuracy and anti-noise ability. In the experiments carried out on two data sets (hyperspectral image and Landsat image), the mean overall accuracies (OAs) of supervised learning algorithms are 15 percent and 86 percent, while the mean oas of SSL algorithms are 26 percent and 99 percent. To overcome the polynomial complexity of SSL algorithms, we also developed a linear-complexity algorithm by employing multivariate Taylor Series Expansion (TSE) and Woodbury Formula. Numéro de notice : A2013-205 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.4.347 En ligne : https://doi.org/10.14358/PERS.79.4.347 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32343
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 4 (April 2013) . - pp 347 - 357[article]Pedestrian network extraction from fused aerial imagery (orthoimages) and laser imagery (lidar) / Piyawan Kasemsuppakorn in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)
[article]
Titre : Pedestrian network extraction from fused aerial imagery (orthoimages) and laser imagery (lidar) Type de document : Article/Communication Auteurs : Piyawan Kasemsuppakorn, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2013 Article en page(s) : pp 369 - 379 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données lidar
[Termes IGN] extraction automatique
[Termes IGN] fusion de données
[Termes IGN] image aérienne
[Termes IGN] itinéraire piétionnier
[Termes IGN] orthoimage
[Termes IGN] piéton
[Termes IGN] vectorisationRésumé : (Auteur) A pedestrian network is a topological map that contains the geometric relationship between pedestrian path segments (e.g., sidewalk, crosswalk, footpath), which is needed in a variety of applications, such as pedestrian navigation services. However, current pedestrian networks are not widely available. In an effort to provide an automatic means for creating pedestrian networks, this paper presents a methodology for extracting pedestrian network from aerial and laser images. The methodology consists of data preparation and four steps: object filtering, pedestrian path region extraction, pedestrian network construction, and raster to vector conversion. An experiment, using ten images, was conducted to evaluate the performance of the methodology. Evaluation results indicate that the methodology can extract sidewalk, crosswalk, footpath, and building entrances; it collects pedestrian networks with 61 percent geometrical completeness, 67.35 percent geometrical correctness, 71 percent topological completeness and 51.38 percent topological correctness. Numéro de notice : A2013-206 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.4.369 En ligne : https://doi.org/10.14358/PERS.79.4.369 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32344
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 4 (April 2013) . - pp 369 - 379[article]Automatic camera calibration in close range photogrammetry / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)
[article]
Titre : Automatic camera calibration in close range photogrammetry Type de document : Article/Communication Auteurs : Clive Simpson Fraser, Auteur Année de publication : 2013 Article en page(s) : pp 381 - 388 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] aberration chromatique
[Termes IGN] auto-étalonnage
[Termes IGN] caméra numérique
[Termes IGN] chambre métrique
[Termes IGN] espace objet
[Termes IGN] étalonnage de chambre métrique
[Termes IGN] longueur focale
[Termes IGN] orientation interne
[Termes IGN] photogrammétrie métrologiqueRésumé : (Auteur) Automatic camera calibration using self-calibration with the aid of coded targets is now very much the norm in close-range photogrammetry. This is irrespective of whether the cameras to be calibrated are high-end metric, or the digital SLRs and consumer-grade models that are increasingly being employed for image-based 3D measurement. Automation has greatly simplified the calibration task, but there are real prospects that important camera calibration issues may be overlooked in what has become an almost black-box operation. This paper discusses the impact of a number of such issues, some of which relate to the functional model adopted for self-calibration, and others to practical aspects which need to be taken into account when pursuing optimal calibration accuracy and integrity. Issues discussed include interior orientation stability, calibration reliability, focal plane distortion, image point distribution, variation in lens distortion with image scale, color imagery and chromatic aberration, and whether 3D object space control is warranted. By appreciating and accounting for these issues, users of automatic camera calibration will enhance the prospect of achieving an optimal recovery of scene-independent camera calibration parameters. Numéro de notice : A2013-207 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.4.381 En ligne : https://doi.org/10.14358/PERS.79.4.381 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32345
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 4 (April 2013) . - pp 381 - 388[article]