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Integration of ZY3-02 satellite laser altimetry data and stereo images for high-accuracy mapping / Guoyuan Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 9 (September 2018)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 84 n° 9 (September 2018) . - pp 569 - 578 Titre : Integration of ZY3-02 satellite laser altimetry data and stereo images for high-accuracy mapping Type de document : Article/Communication Auteurs : Guoyuan Li, Auteur ; Xinming Tang, Auteur ; Xiaoming Gao, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 569 - 578 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] Chine [Termes descripteurs IGN] données altimétriques [Termes descripteurs IGN] données IceSat-Glas [Termes descripteurs IGN] image ZiYuan-3 [Termes descripteurs IGN] modèle par fonctions rationnelles [Termes descripteurs IGN] ZiYuan-3 Résumé : (Auteur) Integration of satellite laser altimetry data and stereo images without ground control points (GCPs) is an attractive method for global mapping. In this paper, we propose a new strategy of integrating Ziyuan3-02 (ZY3-02) satellite stereo images and laser altimetry data using a rigorous sensor model (RSM) with laser ranging constraint under the synchronized and rational function model (RFM) with laser elevation constraint under the non-synchronized capture for high-accuracy mapping without GCPs. Four experimental regions in China are selected to validate the method. The results show that the ZY3-02 satellite laser altimetry data can be used to improve the elevation accuracy of stereo images to better than 3.0 m without GCPs. All of the conclusions are valuable for the development of China's next generation of surveying and mapping satellites. Numéro de notice : A2018-362 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.84.9.569 date de publication en ligne : 01/09/2018 En ligne : https://doi.org/10.14358/PERS.84.9.569 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90673 [article]

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3D reconstruction from multi-view VHR-satellite images in MicMac / Ewelina Rupnik in ISPRS Journal of photogrammetry and remote sensing, vol 139 (May 2018)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 139 (May 2018) . - pp 201 - 211 Titre : 3D reconstruction from multi-view VHR-satellite images in MicMac Type de document : Article/Communication Auteurs : Ewelina Rupnik , Auteur ; Marc Pierrot-Deseilligny , Auteur ; Arthur Delorme, Auteur Année de publication : 2018 Projets : TOSCA / Le Bris, Arnaud Article en page(s) : pp 201 - 211 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] carte de profondeur [Termes descripteurs IGN] compensation par bloc [Termes descripteurs IGN] image Pléiades-HR [Termes descripteurs IGN] image Worldview [Termes descripteurs IGN] MicMac [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] modèle par fonctions rationnelles [Termes descripteurs IGN] programmation dynamique Résumé : (Auteur) This work addresses the generation of high quality digital surface models by fusing multiple depths maps calculated with the dense image matching method. The algorithm is adapted to very high resolution multi-view satellite images, and the main contributions of this work are in the multi-view fusion. The algorithm is insensitive to outliers, takes into account the matching quality indicators, handles non-correlated zones (e.g. occlusions), and is solved with a multi-directional dynamic programming approach. No geometric constraints (e.g. surface planarity) or auxiliary data in form of ground control points are required for its operation. Prior to the fusion procedures, the RPC geolocation parameters of all images are improved in a bundle block adjustment routine. The performance of the algorithm is evaluated on two VHR (Very High Resolution)-satellite image datasets (Pléiades, WorldView-3) revealing its good performance in reconstructing non-textured areas, repetitive patterns, and surface discontinuities. Numéro de notice : A2018-117 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.03.016 date de publication en ligne : 20/03/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.03.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89553 [article]

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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 descripteurs IGN] compensation non linéaire [Termes descripteurs IGN] correction géométrique [Termes descripteurs IGN] erreur systématique [Termes descripteurs IGN] image ZiYuan-3 [Termes descripteurs IGN] modèle par fonctions rationnelles [Termes descripteurs IGN] orientation du capteur [Termes descripteurs IGN] point d'appui [Termes descripteurs IGN] résidu [Termes descripteurs IGN] spline cubique [Termes descripteurs 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 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]

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A Stepwise-Then-Orthogonal Regression (STOR) with quality control for optimizing the RFM of high-resolution satellite imagery / Chang Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 9 (September 2017)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 9 (September 2017) . - pp 611 - 620 Titre : A Stepwise-Then-Orthogonal Regression (STOR) with quality control for optimizing the RFM of high-resolution satellite imagery Type de document : Article/Communication Auteurs : Chang Li, Auteur ; Non-répertorié, Auteur ; Yongjun Zhang, Auteur ; Zuxun Zhang, Auteur Année de publication : 2017 Article en page(s) : pp 611 - 620 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] contrôle qualité [Termes descripteurs IGN] détection d'erreur [Termes descripteurs IGN] distance orthogonale [Termes descripteurs IGN] erreur aléatoire [Termes descripteurs IGN] image à haute résolution [Termes descripteurs IGN] image SPOT 5 [Termes descripteurs IGN] modèle par fonctions rationnelles [Termes descripteurs IGN] régression Résumé : (auteur) There are two major problems in Rational Function Model (RFM) solution: (a) Data source error, including gross error, random error, and systematic error; and (b) Model error, including over-parameterization and over-correction issues caused by unnecessary RFM parameters and exaggeration of random error in constant term of error-in-variables (EIV) model, respectively. In order to solve two major problems simultaneously, we propose a new approach named stepwise-then-orthogonal regression (STOR) with quality control. First, RFM parameters are selected by stepwise regression with gross error detection. Second, the revised orthogonal distance regression is utilized to adjust random error and address the overcorrection problem. Third, systematic error is compensated by Fourier series. The performance of conventional strategies and the proposed STOR are evaluated by control and check grids generated from SPOT5 high-resolution imagery. Compared with the least squares regression, partial least squares regression, ridge regression, and stepwise regression, the proposed STOR shows a significant improvement in accuracy. Numéro de notice : A2017-598 Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.9.611 En ligne : https://doi.org/10.14358/PERS.83.9.611 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86874 [article]

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Bias compensation for rational function model based on total least squares / Anzhu Yu in Photogrammetric record, vol 32 n° 157 (March - May 2017)  

Public [article]  inPhotogrammetric record > vol 32 n° 157 (March - May 2017) . - pp 48 - 60 Titre : Bias compensation for rational function model based on total least squares Type de document : Article/Communication Auteurs : Anzhu Yu, Auteur ; Ting Jiang, Auteur ; Wenyue Guo, Auteur Année de publication : 2017 Article en page(s) : pp 48 - 60 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] analyse numérique [Termes descripteurs IGN] calcul d'erreur [Termes descripteurs IGN] compensation par moindres carrés [Termes descripteurs IGN] erreur aléatoire [Termes descripteurs IGN] erreur systématique [Termes descripteurs IGN] modèle par fonctions rationnelles [Termes descripteurs IGN] pondération [Termes descripteurs IGN] précision du positionnement Résumé : (auteur) When using the rational function model for the geometric orientation and geopositioning of satellite imagery, systematic bias compensation for vendor-provided rational polynomial coefficients (RPCs) is very important. Most existing bias-compensation models express systematic biases as a function of certain deterministic parameters, and least squares adjustment is used for estimating correction parameters. In this paper, the errors-in-variables model is introduced to take random errors in both the observation vector and the design matrix into consideration, based on a weighted total least squares adjustment. Experiments performed with two datasets demonstrate that the proposed method is reliable and the geopositioning accuracy improvement is better compared with a traditional least squares adjustment. Numéro de notice : A2017-197 Thématique : IMAGERIE Nature : Article En ligne : http://dx.doi.org/10.1111/phor.12183 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84871 [article]

Geometric accuracy evaluation of YG-18 satellite imagery based on RFM / Ruishan Zhao in Photogrammetric record, vol 32 n° 157 (March - May 2017)  

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Correction of ZY-3 image distortion caused by satellite jitter via virtual steady reimaging using attitude data / Mi Wang in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)  

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Assessment of orthoimage and DEM derived from ZY-3 stereo image in Northeastern China / Y. Dong in Survey review, vol 48 n° 349 (July 2016)  

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Robust approach for recovery of rigorous sensor model using rational function model / Wen-chao Huang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)  

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RPC-based coregistration of VHR imagery for urban change detection / Shabnam Jabari in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 7 (juillet 2016)  

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Accuracy Validation of Large-scale Block Adjustment without Control of ZY3 Images over China / Yang Bo in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1 (July 2016)  

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Refined satellite image orientation in the free open-source photogrammetric tools Apero/MicMac / Ewelina Rupnik in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1 (July 2016)    

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Automated bias-compensation approach for pushbroom sensor modeling using digital elevation model / Kwan-Young Oh in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)  

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Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data / Mritunjay Kumar Singh in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)  

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Combined calibration method based on rational function model for the Chinese GF-1 wide-field-of-view imagery / Taoyang Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 4 (April 2016)

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