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Auteur W. Schneider |
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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]vol 29 n° 5 - March 2008 - 3D remote sensing in forestry (Bulletin de International Journal of Remote Sensing IJRS) / Remote sensing and photogrammetry society
[n° ou bulletin]
est un bulletin de International Journal of Remote Sensing IJRS / Remote sensing and photogrammetry society (1980 -)
Titre : vol 29 n° 5 - March 2008 - 3D remote sensing in forestry Type de document : Périodique Auteurs : Remote sensing and photogrammetry society, Auteur ; H. Olson, Éditeur scientifique ; W. Schneider, Éditeur scientifique ; T. Koukal, Éditeur scientifique Année de publication : 2008 Importance : 404 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection Numéro de notice : 080-0803 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=9920 [n° ou bulletin]Contient
- Mapping the height and above-ground biomass of a mixed forest using lidar and stereo Ikonos images / Benoît Saint-Onge in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)
- Assessment of the influence of flying altitude and scan angle on biophysical vegetation products derived from airborne laser scanning / F. Morsdorf in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)
- 3D vegetation mapping using small-footprint full-waveform airborne laser scanners / W. Wagner in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)
- Species identification of individual trees by combining high resolution LiDAR data with multi-spectral images / Johan Holmgren in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)
- Automatic forest inventory parameter determination from terrestrial laser scanner data / Hans-Gerd Maas in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)
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Code-barres Cote Support Localisation Section Disponibilité 080-08031 RAB Revue Centre de documentation En réserve L003 Exclu du prêt The impact of relative radiometric calibration on the accuracy of kNN-predictions of forest attributes / T. Koukal in Remote sensing of environment, vol 110 n° 4 (30/10/2007)
[article]
Titre : The impact of relative radiometric calibration on the accuracy of kNN-predictions of forest attributes Type de document : Article/Communication Auteurs : T. Koukal, Auteur ; F. Suppan, Auteur ; W. Schneider, Auteur Année de publication : 2007 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 431 - 437 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Autriche
[Termes IGN] classification barycentrique
[Termes IGN] étalonnage radiométrique
[Termes IGN] forêt
[Termes IGN] image Landsat-TM
[Termes IGN] point d'appui
[Termes IGN] régression linéaireRésumé : (Auteur) The k-nearest-neighbour (kNN) algorithm is widely applied for the estimation of forest attributes using remote sensing data. It requires a large amount of reference data to achieve satisfactory results. Usually, the number of available reference plots for the kNN-prediction is limited by the size of the area covered by a terrestrial reference inventory and remotely sensed imagery collected from one overflight. The applicability of kNN could be enhanced if adjacent images of different acquisition dates could be used in the same estimation procedure. Relative radiometric calibration is a prerequisite for this. This study focuses on two empirical calibration methods. They are tested on adjacent LANDSAT TM scenes in Austria. The first, quite conventional one is based on radiometric control points in the overlap area of two images and on the determination of transformation parameters by linear regression. The other, recently developed method exploits the kNN-cross-validation procedure. Performance and applicability of both methods as well as the impact of phenology are discussed. Copyright Elsevier Numéro de notice : A2007-411 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.016 En ligne : https://doi.org/10.1016/j.rse.2006.08.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28774
in Remote sensing of environment > vol 110 n° 4 (30/10/2007) . - pp 431 - 437[article]