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Optimal resolution for linking remotely sensed and forest inventory data in Europe / Adam Moreno in Remote sensing of environment, vol 183 (15 September 2016)
[article]
Titre : Optimal resolution for linking remotely sensed and forest inventory data in Europe Type de document : Article/Communication Auteurs : Adam Moreno, Auteur ; Mathias Neumann, Auteur ; Hubert Hasenauer, Auteur Année de publication : 2016 Article en page(s) : pp 109 - 119 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] agrégation spatiale
[Termes IGN] Autriche
[Termes IGN] Belgique
[Termes IGN] Corine Land Cover
[Termes IGN] Finlande
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] optimisation (mathématiques)
[Termes IGN] Union Européenne
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Forests provide critical ecosystem services that ensure the sustainability of the environment and society. To manage forests on large scales, spatially explicit gridded data that describes the characteristics of these forests over the entire study area are required. There have been multiple efforts to create such data on regional and global scales. This type of gridded spatially explicit data on forest characteristics are typically done by integrating terrestrial forest inventory (NFI) and satellite-based remotely sensed data. Many studies that incorporate remotely sensed data and forest inventory data often directly compare pixels to inventory plots. The standard resolution of 0.0083° is typically used to integrate these two types of data sets. There is an assumption that, when producing gridded data sets incorporating forest inventory data, the finer the resolution the better the information. This assumption may seem intuitive, however at this resolution, in Europe, each 0.0083° cell has on average 1 NFI plot, which results in a sample with 0 degrees of freedom that represents 0.02% of the cell area. In this study, we challenge this assumption and we quantify the optimal resolution with which to compare and combine remotely sensed and NFI data from the largest collated and harmonized NFI data set in Europe including 196,434 plots. We determined that aggregating data with an original resolution of 0.0083° to between 0.0664° and 0.266° (or × 8 to × 32) produces the best agreement between these two forest inventory and remotely sensed data sets, and the lowest standard error in NFI data, and maintains the majority of the local-level spatial heterogeneity. Numéro de notice : A2016-707 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2016.05.021 En ligne : http://dx.doi.org/10.1016/j.rse.2016.05.021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82079
in Remote sensing of environment > vol 183 (15 September 2016) . - pp 109 - 119[article]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)
[article]
Titre : Correction of ZY-3 image distortion caused by satellite jitter via virtual steady reimaging using attitude data Type de document : Article/Communication Auteurs : Mi Wang, Auteur ; Ying Zhu, Auteur ; Shuying Jin, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 108 - 123 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] distorsion d'image
[Termes IGN] image satellite
[Termes IGN] image ZiYuan-3
[Termes IGN] instabilité du vecteur (télédétection)
[Termes IGN] interpolation
[Termes IGN] modèle de déformation des images
[Termes IGN] modèle par fonctions rationnellesRésumé : (Auteur) ZiYuan-3 (ZY-3), the first Chinese civilian stereo mapping satellite, suffers from 0.67 Hz satellite jitter that deteriorates its geometric performance in mapping, resource monitoring and other applications. This paper proposes a distortion correction method based on virtual steady reimaging (VSRI) using attitude data to eliminate the negative influence caused by satellite jitter in satellite data preprocessing. VSRI helps linear array pushbroom cameras rescan the ground with a uniform integral time and smooth attitude. In this method, a VSRI model is proposed, and the geometric relationship between the original and corrected image is determined in terms of geolocation consistency based on a rigorous geometric model. Thus, the corrected image is obtained by resampling from the original one. Three areas of ZY-3 three-line images suffering from satellite jitter were used to validate the accuracy and efficiency of the proposed method. First, different attitude interpolation methods were compared. It is found that the Lagrange polynomial model and the cubic piecewise polynomial model have higher interpolation accuracy for original imagery. Then, the replacement accuracy of the rational function model (RFM) for ZY-3 was analyzed with 0.67 Hz satellite jitter. The results indicate that attitude oscillation reduces the fitting precision of the RFM for the rigorous imaging model. Finally, the relative orientation accuracy of the three-line images and the geo-positioning accuracy with ground control points (GCPs) before and after distortion correction were compared. The results show that the distortion caused by satellite jitter is corrected efficiently, and the accuracy of the three experimental datasets is improved in both the image space and the ground space. Numéro de notice : A2016-780 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.05.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.05.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82475
in ISPRS Journal of photogrammetry and remote sensing > vol 119 (September 2016) . - pp 108 - 123[article]High rate 30 seconds vs clock interpolation in precise point positioning (PPP) / Sorin Nistor in Geodetski vestnik, vol 60 n° 3 (September - November 2016)
[article]
Titre : High rate 30 seconds vs clock interpolation in precise point positioning (PPP) Type de document : Article/Communication Auteurs : Sorin Nistor, Auteur ; Aurélian Stelian Buda, Auteur Année de publication : 2016 Article en page(s) : pp 483 - 494 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] analyse comparative
[Termes IGN] horloge atomique
[Termes IGN] interpolation
[Termes IGN] positionnement par GNSS
[Termes IGN] positionnement ponctuel précis
[Termes IGN] réseau à haut débitRésumé : (Auteur) The development of GNSS technology (Global Navigation Satellite Systems), including GPS technology (Global Positioning System), and the increase of accuracy and precision of the International GNSS Service (IGS) products, make Precise Point Positioning (PPP) technique more and more attractive. The IGS service provides clock products even for high rate determination – 30 seconds. The article is analyzing and comparing the 30 seconds high rate data and the interpolated data from 300 seconds in static PPP determination. Three stages of analysis are done: in the first stage the impact of data products on LC and PC postfit residuals are accounted, in the second stage the impact on wet troposphere delays (WTD) is analyzed and in the third stage the coordinate variation on North, East and Up component is presented. The stations that were analyzed are two IGS stations, BUCU and SOFI and two EUREF
stations: COST and AUT1. The results presented an increase of 30% for LC postfit residuals in the case of interpolated data and no obvious influence on PC postfit residuals. In the case of WTD only a difference of a few centimeters were determined and in the case of coordinate variation the largest difference was present in the North component for station COST of 5.79 mm.Numéro de notice : A2016-748 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.15292/geodetski-vestnik.2016.03.483-494 En ligne : https://dx.doi.org/10.15292/geodetski-vestnik.2016.03.483-494 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82294
in Geodetski vestnik > vol 60 n° 3 (September - November 2016) . - pp 483 - 494[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 139-2016031 RAB Revue Centre de documentation En réserve L003 Disponible A measure of average error variance of line features / Eryong Liu in Cartography and Geographic Information Science, Vol 43 n° 4 (September 2016)
[article]
Titre : A measure of average error variance of line features Type de document : Article/Communication Auteurs : Eryong Liu, Auteur ; Wenzhong Shi, Auteur Année de publication : 2016 Article en page(s) : pp 321 - 327 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] erreur de positionnement
[Termes IGN] erreur moyenne
[Termes IGN] interpolation linéaire
[Termes IGN] ligne caractéristique
[Termes IGN] matrice d'erreur
[Termes IGN] matrice de covariance
[Termes IGN] objet géographique linéaire
[Termes IGN] propagation d'erreur
[Termes IGN] qualité des donnéesRésumé : (Auteur) This article presents a new development in measuring the positional error of line features in Geographic Information Systems (GIS), in the form of a new measure for estimating the average error variance of line features, including line segment, polyline, polygon, and curved lines. This average error measure is represented in the form of a covariance matrix derived by an analytical approach. Corresponding error indicators are derived from this matrix. The error of line features mainly results from two factors: (1) an error propagated from the original component points of line features and (2) a model error of interpolation between these points. In this study, a method of average error estimation has been derived regarding the first type error of line features that are interpolated by either linear or cubic interpolation methods. The main contribution of the research is the provision of an error measure to assess the quality of spatial data in application settings. The proposed error models for estimating average error variance of line features in a GIS are illustrated by both simulated and practical experiments. The results show that the line accuracy from a linear interpolation is better than a line interpolated using a cubic model. Numéro de notice : A2016-417 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1077738 En ligne : https://doi.org/10.1080/15230406.2015.1077738 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81312
in Cartography and Geographic Information Science > Vol 43 n° 4 (September 2016) . - pp 321 - 327[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2016041 RAB Revue Centre de documentation En réserve L003 Disponible Shadow detection and removal in RGB VHR images for land use unsupervised classification / A. Movia in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)
[article]
Titre : Shadow detection and removal in RGB VHR images for land use unsupervised classification Type de document : Article/Communication Auteurs : A. Movia, Auteur ; A. Beina, Auteur ; F. Crosilla, Auteur Année de publication : 2016 Article en page(s) : pp 485 - 495 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse d'image numérique
[Termes IGN] analyse procustéenne
[Termes IGN] anisotropie
[Termes IGN] classification non dirigée
[Termes IGN] détection d'ombre
[Termes IGN] détection de changement
[Termes IGN] factorisation de Cholesky
[Termes IGN] image à très haute résolution
[Termes IGN] image RVBRésumé : (Auteur) Nowadays, high resolution aerial images are widely available thanks to the diffusion of advanced technologies such as UAVs (Unmanned Aerial Vehicles) and new satellite missions. Although these developments offer new opportunities for accurate land use analysis and change detection, cloud and terrain shadows actually limit benefits and possibilities of modern sensors.
Focusing on the problem of shadow detection and removal in VHR color images, the paper proposes new solutions and analyses how they can enhance common unsupervised classification procedures for identifying land use classes related to the CO2 absorption.
To this aim, an improved fully automatic procedure has been developed for detecting image shadows using exclusively RGB color information, and avoiding user interaction. Results show a significant accuracy enhancement with respect to similar methods using RGB based indexes.
Furthermore, novel solutions derived from Procrustes analysis have been applied to remove shadows and restore brightness in the images. In particular, two methods implementing the so called “anisotropic Procrustes” and the “not-centered oblique Procrustes” algorithms have been developed and compared with the linear correlation correction method based on the Cholesky decomposition.
To assess how shadow removal can enhance unsupervised classifications, results obtained with classical methods such as k-means, maximum likelihood, and self-organizing maps, have been compared to each other and with a supervised clustering procedure.Numéro de notice : A2016-793 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.05.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.05.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82510
in ISPRS Journal of photogrammetry and remote sensing > vol 119 (September 2016) . - pp 485 - 495[article]A simulated annealing algorithm for zoning in planning using parallel computing / Inès Santé in Computers, Environment and Urban Systems, vol 59 (September 2016)PermalinkTaking correlations in GPS least squares adjustments into account with a diagonal covariance matrix / Gaël Kermarrec in Journal of geodesy, vol 90 n° 9 (September 2016)PermalinkThe SMITSWAM method of datum transformations consisting of Standard Molodensky in two stages with applied misclosures / Andrew Carey Ruffhead in Survey review, vol 48 n° 350 (September 2016)PermalinkBuilding displacement based on the topological structure / Yageng Sun in Cartographic journal (the), Vol 53 n° 3 (August 2016)PermalinkDirichlet process based active learning and discovery of unknown classes for hyperspectral image classification / Hao Wu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)PermalinkA local structure and direction-aware optimization approach for three-dimensional tree modeling / Zhen Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)PermalinkMagnetic induction-based positioning in distorted environments / Orfeas Kypris in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)PermalinkSimultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing / Paris V. Giampouras in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)PermalinkSparse output coding for scalable visual recognition / Bin Zhao in International journal of computer vision, vol 119 n° 1 (August 2016)PermalinkA bootstrap test for constant coefficients in geographically weighted regression models / Chang-Lin Mei in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)Permalink