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Ortho-rectification of QuickBird satellite / F. Volpe in GEO: Geoconnexion international, vol 4 n° 4 (april 2005)
[article]
Titre : Ortho-rectification of QuickBird satellite Type de document : Article/Communication Auteurs : F. Volpe, Auteur Année de publication : 2005 Article en page(s) : pp 40 - 41 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage
[Termes IGN] analyse comparative
[Termes IGN] correction géométrique
[Termes IGN] détecteur
[Termes IGN] élément d'orientation interne
[Termes IGN] étalonnage géométrique
[Termes IGN] image Quickbird
[Termes IGN] orientation interne
[Termes IGN] orthorectification
[Termes IGN] point d'appuiRésumé : (Auteur) Very high resolution satellite data is now being used for applications traditionally covered by aerial photography . Most of these applications requires that the data extracted from the satellite imagery be accurately located on a map ; therefore the geometrical processing of the imagery becomes a key issue. Numéro de notice : A2005-141 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27279
in GEO: Geoconnexion international > vol 4 n° 4 (april 2005) . - pp 40 - 41[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 062-05041 RAB Revue Centre de documentation Revues en salle Disponible Digital close range photogrammetry for measurement of soil erosion / D. Rieke-Zapp in Photogrammetric record, vol 20 n° 109 (March - May 2005)
[article]
Titre : Digital close range photogrammetry for measurement of soil erosion Type de document : Article/Communication Auteurs : D. Rieke-Zapp, Auteur Année de publication : 2005 Article en page(s) : pp 69 - 87 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] appariement d'images
[Termes IGN] érosion hydrique
[Termes IGN] étalonnage radiométrique
[Termes IGN] image à haute résolution
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle stéréoscopique
[Termes IGN] photogrammétrie métrologique
[Termes IGN] point d'appui
[Termes IGN] points homologues
[Termes IGN] précision millimétriqueRésumé : (Auteur) De nombreux phénomènes impliqués dans l'érosion des sols ont des dimensions à l'échelle du millimètre. Leur quantification et leur modélisation nécessitent des informations sur la surface topographique de ces terrains avec des résolutions bien adaptées. L'objectif de cette étude était l'établissement de modèles numériques des altitudes (MNA) de la surface du sol avec de grandes résolutions spatiales et temporelles. On a utilisé la photogrammétrie numérique pour déterminer les taux d'érosion de formes complexes soumis à des précipitations en laboratoire. On a en tout réalisé 60 MNA couvrant en planimétrie une superficie de 16m2 avec une résolution de grille de 3mm. La précision altimétrique souhaitée était d'environ 1mm, de façon à pouvoir bien analyser ces MNA. On a utilisé une caméra numérique courante pour l'acquisition des images. On a étalonné la caméra avec le logiciel BLUH. On a identifié les points homologues des images en recouvrement stéréoscopique avec un logiciel d'appariement par moindres carrés. On a établi une grille régulière dans un système d'information géographique en interpolant les coordonnées-objet de points irrégulièrement espacés. Les MNA résultants représentaient correctement la surface des sols. On est arrivé à une précision altimétrique de 1,26 mm. C'est l'étalonnage de la caméra qui a limité la précision des MNA obtenus. Parmi les améliorations souhaitables du système, on peut mentionner l'emploi de meilleurs points d'appui et des stratégies d'appariement d'images plus élaborées pour l'identification des points homologues. Ces MNA ont permis des analyses détaillées de l'évolution de la surface des sols. Numéro de notice : A2005-157 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2005.00305.x En ligne : https://doi.org/10.1111/j.1477-9730.2005.00305.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27295
in Photogrammetric record > vol 20 n° 109 (March - May 2005) . - pp 69 - 87[article]
Titre : EuroSDR building extraction comparaison Type de document : Article/Communication Auteurs : Harri Kaartinen, Auteur ; Juha Hyyppä, Auteur ; Eberhard Gülch, Auteur ; H. Hyyppä, Auteur ; Leena Matikainen, Auteur ; M. George Vosselman, Auteur ; A.D. Hofmann, Auteur ; U. Mäder, Auteur ; A. Persson, Auteur ; U. Söderman, Auteur ; M. Elmqvist, Auteur ; A. Ruiz, Auteur ; M. Dragoja, Auteur ; David Flamanc , Auteur ; Grégoire Maillet , Auteur ; et al., Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2005 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 36-1/W3 Conférence : ISPRS 2005, WG I/5, IV/3, I/1, I/3, IV/2 ISPRS Hannover Workshop 2005 High-Resolution Earth Imaging for Geospatial Information 17/05/2005 20/05/2005 Hannovre Allemagne OA ISPRS Archives Importance : 6 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse comparative
[Termes IGN] arc
[Termes IGN] bâtiment
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] étalonnage de chambre métrique
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] orientation d'image
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] semis de pointsRésumé : (auteur) The paper focuses on comparing accuracies obtained with photogrammetry and laser scanning in building extraction. The objective of the EuroSDR Building Extraction comparison was to evaluate the quality, accuracy, feasibility and economical aspects of semi automatic building extraction based on photogrammetric techniques with the emphasis on commercial and/or operative systems, semi-automatic and automatic building extraction techniques based on high density laser scanner data and semi-automatic and automatic building extraction techniques based on integration of laser scanner data and aerial images. The project consists of three test sites by the Finnish Geodetic Institute (FGI), namely Senaatti, Hermanni and Espoonlahti, and one test site by the Institut Geographique National (IGN), namely Amiens. For each test site following data was provided to the partners: aerial images, camera calibration and image orientation information, ground control point coordinates and jpg images of point locations (not for Amiens), laser scanner data and cadastral map vectors of selected buildings. Participants were requested to create vectors of 3D city models. 3D-models were obtained from 11 participants. The paper confirms with experiments that laser scanning is superior in deriving building heights, extracting planar roof faces and ridges of the roof, whereas photogrammetry and aerial images are superior in building outline and length determination. Numéro de notice : C2005-037 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/1-W3/PDF/064-kaartinen.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100078
Titre : Modelling of spaceborne linear array sensors Type de document : Thèse/HDR Auteurs : Daniela Poli, Auteur Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 2005 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 85 Importance : 204 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906467-50-4 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] auto-étalonnage
[Termes IGN] C (langage)
[Termes IGN] capteur aérien
[Termes IGN] capteur en peigne
[Termes IGN] capteur spatial
[Termes IGN] chambre DTC
[Termes IGN] compensation par faisceaux
[Termes IGN] géométrie de l'image
[Termes IGN] géoréférencement direct
[Termes IGN] géoréférencement indirect
[Termes IGN] GPS-INS
[Termes IGN] image EROS
[Termes IGN] image MOMS-2P
[Termes IGN] image SPOT-HRS
[Termes IGN] image Terra-ASTER
[Termes IGN] image Terra-MISR
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle mathématique
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modèle stéréoscopique
[Termes IGN] orientation du capteur
[Termes IGN] orientation externe
[Termes IGN] orientation interne
[Termes IGN] point d'appui
[Termes IGN] point de vérification
[Termes IGN] points homologuesIndex. décimale : 35.11 Géométrie et qualité des prises de vues Résumé : (Auteur) The topic of this research is the development of a mathematical model for the georeferencing of imagery acquired by multi-line CCD array sensors, carried on air- or spacecraft. Linear array sensors are digital optical cameras widely used for the acquisition of panchromatic and multispectral images in pushbroom mode with spatial resolution ranging from few centimeters (airborne sensors) up to hundreds meters (spaceborne sensors). The images have very high potentials for photogrammetric mapping at different scales and for remote sensing applications. For example, they can be used for the generation of Digital Elevation Models (DEM), that represent an important basis for the creation of Geographic Information Systems, and the production of 3D texture models for visualization and animation purposes.
In the classical photogrammetric chain that starts from the radiometric preprocessing of the raw images and goes to the generation of products like the DEMs, the orientation of the images is a fundamental step and its accuracy is a crucial issue during the evaluation of the entire system. For pushbroom sensors, the triangulation and photogrammetric point determination are rather different compared to the standard approaches for full frame imagery and require special investigations on the sensor geometry and the acquisition mode.
Today various models based on different approaches have been developed, but few of them are rigorous and can be used for a wide class of pushbroom sensors. In general a rigorous sensor model aims to describe the relationship between image and ground coordinates, according to the physical properties of the image acquisition. The functional model is based on the collinearity equations. The sensor model presented in this thesis had to fulfil the requirement of being rigorous and at the same time as flexible as possible and adaptable to a wide class of linear array sensors. In fact pushbroom scanners in use show different geometric characteristics (optical systems, number of CCD lines, scanning mode, stereoscopy) and for each data set specific information are available (ephemeris, GPS/INS observations, calibration, other internal parameters). Therefore the model needs to be dependent on a certain number of parameters that may change for each sensor.
According to the availability of information on the sensor internal and external orientation, the proposed model includes two different orientation approaches.
The first one, the direct georeferencing one, is based on the estimations of the ground coordinates of the points measured in the images through a forward intersection, using the external orientation provided by GPS and INS instruments or interpolated by ephemeris or computed using the orbital parameters (satellite case). This approach does not require any ground control points, except for final checking, and does not estimate any additional parameters for the correction of the interior and exterior orientation. For this reason, the accuracy of this method depends on the accuracy of the external and internal orientation data.
The alternative orientation method, based on indirect georeferencing, is used if the sensor external and internal orientation is not available or not enough accurate for high-precision photograrnmetric mapping. This approach is a self-calibrating bundle adjustment. The sensor position and attitude are modelled with 2nd order piecewise polynomial functions (PPM) depending on time. Constraints on the segment borders assure the continuity of the functions, together with their first and second derivatives. Using pseudo-observations on the PPM parameters, the polynomial degree can be reduced to one (linear functions) or even to zero (constant functions). If GPS and INS are available, they are integrated in the PPM. For the self-calibration, additional parameters (APs) are used to model the lens internal parameters and distortions and the linear arrays displacements in the focal plane.
The parameters modelling the internal and external orientation, together with the ground coordinates of tie and control points, are estimated through a least-squares bundle adjustment using well distributed ground control points. The use of pseudo-observations allows the user to run the adjustment fixing any unknown parameters to certain values. This option is very useful not only for the external orientation modelling, but also for the analysis of the single self-calibration parameter's influence. The weights for the observations and pseudo-observations are determined according to the measurement accuracy. A blunder detection procedure is integrated for the automatic detection of wrong image coordinate measurement. The adjustment results are analyzed in terms of internal and external accuracy. The APs to be estimated are chosen according to their correlations with the other unknown parameters (ground coordinates of tie points and PPM parameters). A software has been developed under Unix environment in C language.
The flexibility of the model has been proved by testing it on MOMS-2P, SPOT-5/HRS, ASTER, MISR and EROS-A1 stereo images. These sensors have different characteristics (single-lens and multi-lens optical systems, various number of linear arrays, synchronous and asynchronous acquisition modes), covering a wide range of possible acquisition geometries.
For each dataset both the direct and indirect models have been used and in all cases the direct georeferencing was not accurate enough for high accurate mapping. The indirect model has been applied with different ground control points distributions (when possible), varying the PPM configurations (number of segments, polynomials degree) and with and without self-calibration. Excluding EROS-A1, all the imagery has been oriented with sub-pixels accuracy in the check points using a minimum of 6 ground control points. In case of EROS-A1, an accuracy in the range of I to 2 pixels has been achieved, due the lack of information on the geometry of the sensor asynchronous acquisition. For the ASTER and SPOT-5/HRS datasets, a DEM has also been generated and compared to some reference DEMs.
New cameras can be easily integrated in the model, because the required sensor information are accessible in literature as well as in the web. If no information on the sensor internal orientation is available, the model supposes that the CCD lines are parallel to each other in the focal plane and perpendicular to the flight direction and estimates any systematic error through the self-calibration. The satellite's position and velocity vectors, usually contained in the ephemeris, are required in order to compute the initial approximations for the PPM parameters. If this information is not available, the Keplerian elements can be used to estimate the nominal trajectory. For pushbroom scanners carried on airplane or helicopter the GPS and INS measurements are indispensable, due to the un-predictability of the trajectory.Note de contenu : 1. INTRODUCTION
1.1. REVIEW OF EXISTING MODELS
1.2. RESEARCH OBJECTIVES
1.3. OUTLINE
2. LINEAR CCD ARRAY SENSORS
2.1. SOLIDSTATE TECHNOLOGY
2.2. ARRAY GEOMETRIES
2.2. 1. Linear arrays
2.2.2. Other geometries
2.3. IMAGING SYSTEM
2.4. SENSOR CALIBRATION
2.4.1. Errors in CCD lines
2.4.2. Lens distortions
2.4.3. Laboratory calibration
2.5. STEREO ACQUISITION
2.5.1. Acrosstrack
2.5.2. Alongtrack
2.6. PLATFORMS
2.6.1. Satellite platforms
2.6.2. Airborne and helicopter platforms
2.7. IMAGE CHARACTERISTICS
2.7.1. Spatial resolution
2.7.2. Radiometric resolution
2.7.3. Spectral resolution
2.7.4. Temporal resolution
2.8. PROCESSING LEVELS
2.9. LIST OF LINEAR ARRAY SENSORS
2.10. CONCLUSIONS
3. DIRECT GEOREFERENCING
3.1. EXTERNAL ORIENTATION FROM GPS/INS
3.1.1. Background
3.1.2. GPS system
3.1.3. INS system
3.1.4. GPS/INS integration
3.1.5. Commercial systems
3.2. EXTERNAL ORIENTATION FROM EPHEMERIS
3.2.1. Orientation with Keplerian elements
3.2.2. Orientation from state vectors
3.2.3. Interpolation between reference lines
3.3. DIRECT GEOREFERENCING
3.3.1. From image to camera coordinates
3.3.2. From camera to ground coordinates
3.3.3. Estimation of approximate ground coordinates
3.3.4. Refinement
3.4. SOME CONSIDERATIONS ON GPS/INS MEASUREMENTS
3.5. ACCURACY EVALUATION
3.6. CONCLUSIONS
4. INDIRECT GEOREFERENCING
4.1. ALGORITHM OVERVIEW
4.2. EXTENTION TO MULTILENS SENSORS
4.3. EXTERNAL ORIENTATION MODELLING
4.3.1. Integration of GPS/INS observations
4.3.2. Function continuity
4.3.3. Reduction of polynomial order
4.4.SELFCALIBRATION
4.5. OBSERVATION EQUATIONS
4.5.1. Image coordinates
4.5.2. External orientation parameters
4.5.3. Selfcalibration parameters
4.5.4. Ground control points
4.6. LEAST SQUARES ADJUSTMENT
4.6.1. Theory of least squares adjustment
4.6.2. Linearization
4.6.3. Design matrix construction
4.6.4. Solution of linear system
4.7. ANALYSIS OF RESULTS
4.7.1. Internal accuracy
4.7.2. RMSE calculations
4.7.3. Correlations
4.7.4. Blunder detection
4.8. FORWARD INTERSECTION
4.9. SUMMARY AND COMMENTS
5. PREPROCESSING
5.1. METADATA FILES FORMATS
5.2. INFORMATION EXTRACTION FROM METADATA FILES
5.3. RADIOMETRIC PREPROCESSING
5.3.1. Standard algorithms
5.3.2. Adhoc filters
6. APPLICATIONS
6.1. WORKFLOW
6.2. MOMS02
6.2.1. Sensor description
6.2.2. Data description
6.2.3. Preprocessing
6.2.4. Image orientation
6.2.5. Summary and conclusions
6.3. SPOT5/HRS
6.3.1. Sensor description
6.3.2. Data description
6.3.3. Preprocessing
6.3.4. Image orientation
6.3.5. DEM generation
6.3.6. Comparison
6.3.7. Summary and conclusions
6.4 ASTER
6.4.1. Sensor description
6.4.2. Data description
6.4.3. Preprocessing
6.4.4. Images orientation
6.4.5. DEM generation
6.4.6. Comparison with reference DEMs
6.4.7. Summary and conclusions
6.5 MISR
6.5.1. Sensor description
6.5.2. Data description
6.5.3. Preprocessing
6.5.4. Image orientation
6.5.5. Summary and conclusions
6.6 EROS-A1
6.6.1. Sensor description
6.6.2. Data description and Preprocessing
6.6.3. Image orientation
6.6.4. Summary and conclusions
7. CONCLUSION AND OUTLOOK
7.1 CONCLUSION
7.2 OUTLOOKNuméro de notice : 13260 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère DOI : 10.3929/ethz-a-004946341 En ligne : http://dx.doi.org/10.3929/ethz-a-004946341 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54943 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13260-01 35.11 Livre Centre de documentation En réserve M-103 Disponible What does height really mean? Part 1: Introduction / Thomas H. Meyer in Surveying and land information science, vol 64 n° 4 (01/12/2004)
[article]
Titre : What does height really mean? Part 1: Introduction Type de document : Article/Communication Auteurs : Thomas H. Meyer, Auteur ; D.R. Roman, Auteur ; David B. Zilkoski, Auteur Année de publication : 2004 Article en page(s) : pp 223 - 233 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] altitude orthométrique
[Termes IGN] ellipsoïde de référence
[Termes IGN] gravimétrie
[Termes IGN] hauteur ellipsoïdale
[Termes IGN] niveau moyen des mers
[Termes IGN] nivellement
[Termes IGN] point d'appui
[Termes IGN] réseau géodésique
[Termes IGN] terminologieRésumé : (Auteur) This is the first paper in a four-part series considering the fundamental question, "What does the word height really mean ? " National Geodetic Survey (NGS) is embarking on a height modernization program in which, in the future, it will not necessary for NGS to create new or maintain old orthometric height benchmarks. In their stead, NGS will publish measured ellipsoid heights and computed Helmert orthometric heihgts for survey markers. Consequently, practicing surveyors will soon be confronted with coping with these changes and differences between these types of height. Indeed, although "height" is commonly used word, an exact definition of it can be difficult to find. These article will explore the various meanings of height as used in surveying and geodesy and present a precise definition that is based on the physic of gravitational potential, along current best practices for using survey-grade GPS equipement for height measurement. Our goal is to review these basic concepts so that surveyors can avoid potential pitfalls that may be created by the new NGS height control era. The first paper reviews reference ellipsoids and mean sea level datums. The second paper reviews the physics of heights culminating in a simple development of the geoid and explains why mean sea level station are not all the same orthometric height. The third paper introduces geopotential numbers and dynamic heights, explains the correction needed to account for the non-parallelism of equipotential surfaces, and discusses how these correction were used in NAVD 88. The fouth paper presents a review of current best practices for heights measured with GPS. Numéro de notice : A2004-610 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27126
in Surveying and land information science > vol 64 n° 4 (01/12/2004) . - pp 223 - 233[article]Voir aussiRéservation
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Code-barres Cote Support Localisation Section Disponibilité 121-04041 SL Revue Centre de documentation Revues en salle Disponible Apport d'un SIG à l'étude d'un cadastre dit "napoléonien" / F. Ghozzi in Géomatique expert, n° 38 (01/11/2004)PermalinkSpatiotriangulation with multisensor VIR/SAR / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 42 n° 10 (October 2004)PermalinkAccuracy analysis, DEM generation and validation using russian TK-350 stereo-images / G. Buyuksalih in Photogrammetric record, vol 19 n° 107 (September - November 2004)PermalinkAssessment of the new national geoid height model, GEOID03 / D.R. Roman in Surveying and land information science, vol 64 n° 3 (01/09/2004)PermalinkDTM generation from Ikonos in-track stereo images using a 3D physical model / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 6 (June 2004)PermalinkGeometric correction accuracy of IRS-1D PAN imagery using topographic map versus GPS control points / M. Turker in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)PermalinkPath processing and block adjustment with RadarSat-1 SAR images / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)PermalinkAutonomous space resection using point- and line-based representation of free-form control linear features / A. Habib in Photogrammetric record, vol 18 n° 103 (September - November 2003)PermalinkGeometric information from Ikonos: strict and highly accurate solution based on VirtuoZo / Z. Hu in GIM international, vol 17 n° 9 (September 2003)PermalinkUrban subsidence monitoring using radar interferometry: algorithms and validation / M. Crosetto in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 7 (July 2003)PermalinkPractical experiences with automatic aerial triangulation using different software packages / G. Buyuksalih in Photogrammetric record, vol 18 n° 102 (June - August 2003)PermalinkSynergetic fusion of GPS and photogrammetrically generated elevation models / Jon P. Mills in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 4 (April 2003)PermalinkAccuracy prediction for ortho-image generation / Amnon Krupnik in Photogrammetric record, vol 18 n° 101 (March - May 2003)PermalinkError tracking in Ikonos geometric processing using a 3D parametric model / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 1 (January 2003)PermalinkPermalinkCalibration and validation of SAR interferometry for DEM generation / M. Crosetto in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 3 (December 2002 - January 2003)PermalinkOrthophoto generation using Ikonos imagery and high-resolution DEM: a case study on volcanic hazard monitoring of Nysoros island (Greece) / S. Vassilopoulou in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 1-2 (November - December 2002)PermalinkRéalisation de spatiocartes dans des zones d'accès difficile / P. De Mayer in Le monde des cartes, n° 173-174 (septembre - décembre 2002)PermalinkExperimental evaluation of positional accuracy estimates from linear network using point- and line-based testing methods / T.G. Van Niel in International journal of geographical information science IJGIS, vol 16 n° 5 (july 2002)PermalinkUpdating solutions of the rational function model using additional control information / Y. Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 7 (July 2002)Permalink