Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 78 n° 10Paru le : 01/10/2012 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierA supervised and fuzzy-based approach determine optimal multi-resolution image segmentation parameters / H. Tong in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 10 (October 2012)
[article]
Titre : A supervised and fuzzy-based approach determine optimal multi-resolution image segmentation parameters Type de document : Article/Communication Auteurs : H. Tong, Auteur ; T. Maxwell, Auteur ; Y. Zhang, Auteur ; V. Dey, Auteur Année de publication : 2012 Article en page(s) : pp 1029 - 1044 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification dirigée
[Termes IGN] classification floue
[Termes IGN] classification hybride
[Termes IGN] classification orientée objet
[Termes IGN] eCognition
[Termes IGN] image optique
[Termes IGN] optimisation (mathématiques)
[Termes IGN] résolution multiple
[Termes IGN] segmentation d'imageRésumé : (Auteur) Image segmentation is important for object-based classification. One of the most advanced image segmentation techniques is multi-resolution segmentation implemented by eCognition®. Multi-resolution segmentation requires users to determine a set of proper segmentation parameters through a trial-and-error process. To achieve accurate segmentations of objects of different sizes, several sets of segmentation parameters are required: one for each level. However, the trial-and-error process is time consuming and operator dependent. To overcome these problems, this paper introduces a supervised and fuzzy-based approach to determine optimal segmentation parameters for eCognition®. This approach is referred to as the Fuzzy-based Segmentation Parameter optimizer (fbsp optimizer) in this paper. It is based on the idea of discrepancy evaluation to control the merging of sub-segments to reach a target segment. Experiments demonstrate that the approach improves the segmentation accuracy by more than 16 percent, reduces the operation time from two hours to one-half hour, and is operator independent. Numéro de notice : A2012-484 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.10.1029 En ligne : https://doi.org/10.14358/PERS.78.10.1029 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31930
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 10 (October 2012) . - pp 1029 - 1044[article]Automated georegistration of high-resolution satellite imagery using a RPC model with airborne lidar information / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 10 (October 2012)
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Titre : Automated georegistration of high-resolution satellite imagery using a RPC model with airborne lidar information Type de document : Article/Communication Auteurs : J. Oh, Auteur ; C. Lee, Auteur ; Y. Eo, Auteur ; J. Bethel, Auteur Année de publication : 2012 Article en page(s) : pp 1045 - 1056 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] accentuation d'image
[Termes IGN] appariement d'images
[Termes IGN] corrélation croisée normalisée
[Termes IGN] données lidar
[Termes IGN] image Kompsat
[Termes IGN] image à haute résolution
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] superposition d'imagesRésumé : (Auteur) A large amount high-resolution satellite imagery (hrsi) has been available in the commercial market because of its value in creating accurate base maps for various applications. As massive amounts of HRSI are acquired globally by satellites with short revisit times, automated but accurate georegistration is still required despite advances in precise orbit tracking and estimation. Motivated by the attractive properties of airborne lidar data, such as their high resolu-tion and accuracy, this study proposes a new automated method for refining the HRSI with rational polynomial coefficients (RPCs) using airborne lidar information. By projecting the lidar intensity return into the HRSI space, the image matching complexity is reduced to a simple, 2D case. The true challenge is in overcoming the difference between the HRSI and the lidar intensity return to allow for reliable matching. To this end, this paper proposes a new method based on simple relative edge cross correlation (RECC) with a screening method to prevent false matching. To make the approach more robust, data snooping was added for a final detection of outliers. Experiments were performed using three Kompsat-2 images and the potential of the approach. Numéro de notice : A2012-485 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.10.1045 En ligne : https://doi.org/10.14358/PERS.78.10.1045 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31931
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 10 (October 2012) . - pp 1045 - 1056[article]A flexible mathematical method for calibration in digital aerial photogrammetry / Rongfu Tang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 10 (October 2012)
[article]
Titre : A flexible mathematical method for calibration in digital aerial photogrammetry Type de document : Article/Communication Auteurs : Rongfu Tang, Auteur ; Dieter Fritsch, Auteur ; Michael Cramer, Auteur ; W. Schneider, Auteur Année de publication : 2012 Article en page(s) : pp 1069 - 1077 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] auto-étalonnage
[Termes IGN] caméra numérique
[Termes IGN] chambre DTC
[Termes IGN] élément d'orientation interne
[Termes IGN] étalonnage de chambre métrique
[Termes IGN] photogrammétrie aérienne
[Termes IGN] polynôme de Legendre
[Termes IGN] test de performanceRésumé : (Auteur) Self-calibration plays a significant role in the automatic interior/exterior orientation of camera systems. This paper presents a new family of self-calibration additional parameters (aps) for digital airborne camera calibration. Photogrammetric self-calibration can (to a very large extent) be considered as a function approximation problem in mathematics. Based on the rigorous approximation theory, a new family of so-called Legendre self-calibration APs is developed from the orthogonal Legendre Polynomials. An approach is suggested to assess the full potential of in-situ camera calibration. The performance of Legendre aps is investigated in many field tests on the DMC, UltracamX, UltracamXp and DigiCAM camera systems. The external accuracy in the tests can reach 0.2 GSD and 0.4 GSD in horizontal and vertical dimensions, respectively. The posterior standard deviation estimation of image measurements is approx. 0.12 pixel or even less. The advantages of Legendre aps are illustrated over the conventional counterparts. From both the theoretical and practical views, Legendre aps are orthogonal, rigorous, flexible, and effective for calibrating frame-format airborne cameras. Numéro de notice : A2012-486 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.10.1069 En ligne : https://doi.org/10.14358/PERS.78.10.1069 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31932
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 10 (October 2012) . - pp 1069 - 1077[article]