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A point cloud feature regularization method by fusing judge criterion of field force / Xijiang Chen in IEEE Transactions on geoscience and remote sensing, vol 58 n° 5 (May 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 5 (May 2020) . - pp 2994 - 3006 Titre : A point cloud feature regularization method by fusing judge criterion of field force Type de document : Article/Communication Auteurs : Xijiang Chen, Auteur ; Qing Liu, Auteur ; Kegen Yu, Auteur Année de publication : 2020 Article en page(s) : pp 2994 - 3006 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse vectorielle [Termes IGN] arbre BSP [Termes IGN] détection de contours [Termes IGN] échantillonnage [Termes IGN] extraction de traits caractéristiques [Termes IGN] matrice de covariance [Termes IGN] modèle numérique de surface [Termes IGN] modélisation du bâti [Termes IGN] niveau de gris (image) [Termes IGN] plus proche voisin, algorithme du [Termes IGN] reconstruction d'objet [Termes IGN] semis de points [Termes IGN] spline cubique [Termes IGN] traitement d'image [Termes IGN] transformation de Hough [Termes IGN] Wuhan (Chine) Résumé : (auteur) Point cloud boundary is an important part of the surface model. The traditional feature extraction method has slow speed and low efficiency and only achieves the boundary feature points. Hence, the point cloud feature regularization is proposed to obtain the boundary lines based on the fast extraction of feature points in this article. First, an improved $k$ - $d$ tree method is used to search the $k$ neighbors of sampling point. Then, the sampling point and its $k$ neighbors are used as the reference points set to fit a microcut plane and project to the plane. The local coordinate system is established on the microcut plane to convert 3-D into 2-D. The boundary feature points are identified by judging criterion of field force and then are sorted and connected according to the vector deflected angle and distance. Finally, the boundary lines are smoothed by the improved cubic B-spline fitting method. Experiments show that the proposed method can extract the boundary feature points quickly and efficiently, and the mean error of boundary lines is 0.0674 mm and the standard deviation is 0.0346 mm, which has high precision. This proposed method was also successfully applied to feature extraction and boundary fitting of Xinyi teaching building of the Wuhan University of Technology. Numéro de notice : A2020-230 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2946326 Date de publication en ligne : 16/12/2020 En ligne : https://doi.org/10.1109/TGRS.2019.2946326 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94968 [article]

Nonlinear bias compensation of ZiYuan-3 satellite imagery with cubic splines / Jinshan Cao in ISPRS Journal of photogrammetry and remote sensing, vol 133 (November 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 133 (November 2017) . - pp 174 - 185 Titre : Nonlinear bias compensation of ZiYuan-3 satellite imagery with cubic splines Type de document : Article/Communication Auteurs : Jinshan Cao, Auteur ; Jianhong Fu, Auteur ; Xiuxiao Yuan, Auteur ; Jianya Gong, Auteur Année de publication : 2017 Article en page(s) : pp 174 - 185 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] compensation non linéaire [Termes IGN] correction géométrique [Termes IGN] erreur systématique [Termes IGN] image ZiYuan-3 [Termes IGN] modèle par fonctions rationnelles [Termes IGN] orientation du capteur [Termes IGN] point d'appui [Termes IGN] résidu [Termes IGN] spline cubique [Termes IGN] transformation affine Résumé : (Auteur) Like many high-resolution satellites such as the ALOS, MOMS-2P, QuickBird, and ZiYuan1-02C satellites, the ZiYuan-3 satellite suffers from different levels of attitude oscillations. As a result of such oscillations, the rational polynomial coefficients (RPCs) obtained using a terrain-independent scenario often have nonlinear biases. In the sensor orientation of ZiYuan-3 imagery based on a rational function model (RFM), these nonlinear biases cannot be effectively compensated by an affine transformation. The sensor orientation accuracy is thereby worse than expected. In order to eliminate the influence of attitude oscillations on the RFM-based sensor orientation, a feasible nonlinear bias compensation approach for ZiYuan-3 imagery with cubic splines is proposed. In this approach, no actual ground control points (GCPs) are required to determine the cubic splines. First, the RPCs are calculated using a three-dimensional virtual control grid generated based on a physical sensor model. Second, one cubic spline is used to model the residual errors of the virtual control points in the row direction and another cubic spline is used to model the residual errors in the column direction. Then, the estimated cubic splines are used to compensate the nonlinear biases in the RPCs. Finally, the affine transformation parameters are used to compensate the residual biases in the RPCs. Three ZiYuan-3 images were tested. The experimental results showed that before the nonlinear bias compensation, the residual errors of the independent check points were nonlinearly biased. Even if the number of GCPs used to determine the affine transformation parameters was increased from 4 to 16, these nonlinear biases could not be effectively compensated. After the nonlinear bias compensation with the estimated cubic splines, the influence of the attitude oscillations could be eliminated. The RFM-based sensor orientation accuracies of the three ZiYuan-3 images reached 0.981 pixels, 0.890 pixels, and 1.093 pixels, which were respectively 42.1%, 48.3%, and 54.8% better than those achieved before the nonlinear bias compensation. Numéro de notice : A2017-725 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.10.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.10.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88410 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2017111	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2017112	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt
081-2017113	DEP-EXM	Revue	Saint-Mandé	Dépôt en unité	Exclu du prêt

Camera calibration using composed cubic splines / A. Arfaoui in Geomatica, vol 65 n° 2 (June 2011)  

Public [article]  inGeomatica > vol 65 n° 2 (June 2011) . - pp 189 - 197 Titre : Camera calibration using composed cubic splines Type de document : Article/Communication Auteurs : A. Arfaoui, Auteur ; F. Plante, Auteur Année de publication : 2011 Article en page(s) : pp 189 - 197 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] correction d'image [Termes IGN] distorsion d'image [Termes IGN] étalonnage d'instrument [Termes IGN] fonction spline [Termes IGN] grille d'échantillonnage [Termes IGN] orientation du capteur [Termes IGN] spline cubique Résumé : (Auteur) Camera calibration is a process whereby the geometric characteristics of a specific camera are determined. It is performed so that the photograph obtained can be used to produce accurate measurements. This paper presents a simple and accurate model for extracting the optical characteristics (intrinsic parameters) as well as the 3D position and orientation of the camera (extrinsic parameters) based on image coordinate measurements for targets of known 3-D position. The proposed algorithm is divided into two major steps. First, the behaviour of a grid of projected lines is studied and the required local corrections are applied. Such corrections are calculated using Composed Cubic Splines. This function covers radial, decentering and prism distortions. It provides a more realistic model of distortion which is represented as a composed surface. Then, calibration parameters are estimated using a pinhole model based on the minimization of a linear criterion relating the 3D coordinates of the targets with their 2D image projections. Numéro de notice : A2011-543 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5623/cig2011-028 En ligne : https://doi.org/10.5623/cig2011-028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31437 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
035-2011021	RAB	Revue	Centre de documentation	En réserve L003	Disponible