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Metric capabilities of low cost digital cameras for close range surface measurement / Jim H. Chandler in Photogrammetric record, vol 20 n° 109 (March - May 2005)
[article]
Titre : Metric capabilities of low cost digital cameras for close range surface measurement Type de document : Article/Communication Auteurs : Jim H. Chandler, Auteur ; J.G. Fryer, Auteur ; A. Jack, Auteur Année de publication : 2005 Article en page(s) : pp 12 - 26 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] caméra numérique
[Termes IGN] ERDAS Imagine
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] instrumentation Kodak
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] photogrammétrie métrologiqueRésumé : (Auteur) On étudie dans cet article les possibilités des caméras numériques bon marché pour les déterminations de surfaces à faible distance, en utilisant des méthodes d'appariement d'images orientées-objet. On a pour cela établi des modèles numériques des altitudes (MNA) et comparé leur précision à partir de trois caméras numériques bon marché, de consommation courante (Sony DSC-P10, Olympus C3030, Nikon Coolpix 3100) et de la Kodack DCS 460 qui a fait ses preuves. Les résultats furent surprenants en montrant que l'appareil Sony DCS-P10 fournissait les plus grandes précisons et non la Kodack DCS 460, tandis que les deux autres s'avéraient tout à fait satisfaisantes pour la plupart des déterminations de surface à courte distance. La modélisation de l'objectif est apparue comme la contrainte limitant les précisions finales, avec de très petites erreurs systématiques sur ces surfaces, provoquées par des défauts de modélisation résiduels de l'objectif. On a utilisé le logiciel IMAGINE OrthoBASE Pro et une compensation par faisceaux indépendante avec auto-étalonnage, dans le traitement des données. On a mis en évidence dans ces essais des insuffisances de précision dans l'auto-étalonnage avec des logiciels IMAGINE OrthoBASE Pro version 8.6 et Leica Geosystems LPS 8.7 qui seront corrigées dans les versions diffusées par la suite. L'étude a montré que les caméras numériques très bon marché, de consommation courante, pouvaient assurer les déterminations courantes de surfaces, à condition de bien modéliser les objectifs. L'auteur de tête conserve en archive sur le web les données d'étalonnage des caméras, ce qui pourrait rendre service à d'autres utilisateurs. Numéro de notice : A2005-155 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2005.00302.x En ligne : http://dx.doi.org/10.1111/j.1477-9730.2005.00302.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27293
in Photogrammetric record > vol 20 n° 109 (March - May 2005) . - pp 12 - 26[article]
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 Photogrammetric exploitation of Ikonos imagery for mapping applications / C. Vincent Tao in International Journal of Remote Sensing IJRS, vol 25 n° 14 (July 2004)
[article]
Titre : Photogrammetric exploitation of Ikonos imagery for mapping applications Type de document : Article/Communication Auteurs : C. Vincent Tao, Auteur ; Y. Hu, Auteur ; W. Jiang, Auteur Année de publication : 2004 Article en page(s) : pp 2833 - 2853 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] extraction automatique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orthorectification
[Termes IGN] reconstruction 3D
[Termes IGN] stéréoscopie
[Termes IGN] test de performanceRésumé : (Auteur) The launch of IKONOS by Space Imaging opens a new era of high resolution satellite imagery collection and mapping. The IKONOS satellite simultaneously acquires 1m panchromatic and 4m multi-spectral images in four bands that are suitable for high accuracy mapping applications. Space Imaging uses the rational function model (RFM), also known as rational polynomial camera model, instead of the physical IKONOS sensor model to communicate the imaging geometry. As revealed by recent studies from several researchers, the RFM retains the full capability of performing photogrammetric processing in absence of the physical sensor model. This paper presents some RFM-based processing methods and mapping applications developed for 3D feature extraction, orthorectification and RPC model refinement using IKONOS imagery. Comprehensive tests are performed to test the accuracy of 3D reconstruction and orthorectification and to validate the feasibility of the model refinement techniques. Numéro de notice : A2004-293 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618392 En ligne : https://doi.org/10.1080/01431160310001618392 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26820
in International Journal of Remote Sensing IJRS > vol 25 n° 14 (July 2004) . - pp 2833 - 2853[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04121 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Accuracy assessment of Quickbird stereo imagery / M. Noguchi in Photogrammetric record, vol 19 n° 106 (June - August 2004)
[article]
Titre : Accuracy assessment of Quickbird stereo imagery Type de document : Article/Communication Auteurs : M. Noguchi, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2004 Article en page(s) : pp 128 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] compensation par faisceaux
[Termes IGN] erreur systématique
[Termes IGN] Geographical Survey Institute
[Termes IGN] géoréférencement
[Termes IGN] image à très haute résolution
[Termes IGN] image Quickbird
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation du capteur
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] précision métriqueRésumé : (Auteur) L'Institut Géographique japonais a effectué récemment une évaluation des qualités métriques de l'imagerie stéréoscopique du satellite QuickBird. On présente dans cet article, une estimation de la précision à l'issue des phases relatives au géopositionnement et à l'orientation du capteur. Le but de cette étude était double. Il s'agissait d'abord de confirmer les possibilités d'utilisation de l'imagerie de QuickBird pour la cartographie topographique à l'échelle du 1:25.000. Ensuite, il fallait déterminer la précision que l'on pouvait atteindre avec le produit image BASIC. On a recouru aux techniques de compensation affine par faisceaux et aux fonctions rationnelles, ces dernières ayant inclus une compensation des biais. Les résultats obtenus montrent à nouveau la haute précision permise par les fonctions rationnelles mais jettent un doute sur la possibilité d'application du modèle affine 3D pour obtenir un géopositionnement précis à partir de l'imagerie de QuickBird. Numéro de notice : A2004-217 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2004.00035.x En ligne : https://doi.org/10.1111/j.1477-9730.2004.00035.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26744
in Photogrammetric record > vol 19 n° 106 (June - August 2004) . - pp 128 - 137[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-04021 RAB Revue Centre de documentation En réserve L003 Disponible DTM 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)
[article]
Titre : DTM generation from Ikonos in-track stereo images using a 3D physical model Type de document : Article/Communication Auteurs : Thierry Toutin , Auteur Année de publication : 2004 Article en page(s) : pp 695 - 702 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] azimut
[Termes IGN] compensation par faisceaux
[Termes IGN] données lidar
[Termes IGN] données multitemporelles
[Termes IGN] erreur systématique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] pente
[Termes IGN] point d'appui
[Termes IGN] saison
[Termes IGN] utilisation du sol
[Termes IGN] végétationRésumé : (Auteur) A digital elevation model (DEM) extracted from Ikonos in-track stereo images using a 3D physical model developed at the Canada Centre for Remote Sensing, Natural Resources Canada was evaluated. First, the stereo photogrammetric bundle adjustment was set up with about ten accurate ground control points. The DEM was then generated using an area-based multiscale image matching method and 3D semiautomatic editing tools and then compared to lidar elevation data with a 0.2-m accuracy. Because the DEM is, in fact, a digital terrain surface model where the height of land cover (trees, houses) is included, the accuracy varies depending on land cover types. Using 3D visual classification of the stereo Ikonos images, different classes (forests, residential, bare soil, lakes) were generated to take into account the height of the surface (natural and human-made) in the accuracy evaluation. An elevation linear error with 68 percent confidence level (LE68) of 1.5 m was obtained for bare surfaces while an LE68 of 6.4 m was achieved over the full area. Five-meter contour lines could thus be derived, compliant with the highest topographic standard. Better results could thus be expected when using stereo-images acquired in the summertime. On the other hand, an LE68 of 2.5 m to 6.6 m was obtained depending on the land-cover type and its surface height. For residential areas, the surface height did not affect the errors very much (2.5-m LE68) when compared to bare surface results because one- and two-story houses were sparse in the test area. Because the images were unfortunately acquired in wintertime and the lidar data in summertime, elevation errors (LE68 and bias) also depended on the type of forest (deciduous, coniferous, mixed, sparse). An evaluation based on terrain slope and azimuth showed that the DEM error was linearly correlated with slope and that elevations on sun-facing slopes were 1-m more accurate than elevations on slopes facing away from the sun. Numéro de notice : A2004-204 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.6.695 En ligne : http://dx.doi.org/10.14358/PERS.70.6.695 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26731
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 6 (June 2004) . - pp 695 - 702[article]Geometric 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)PermalinkBlock adjustment of high-resolution satellite images described by rational polynomials / Jacek Grodecki in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 1 (January 2003)Permalink3D reconstruction methods based on the rational function model / C. Vincent Tao in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 7 (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)PermalinkThree-dimensional [3D] geopositioning accuracy of Ikonos imagery / Clive Simpson Fraser in Photogrammetric record, vol 17 n° 99 (April - September 2002)PermalinkAnalyse et segmentation de séquences d'images en vue d'une reconnaissance de formes efficace / Santiago Venegas Martinez (2002)PermalinkExploitation des images RSO multi-dates et multi-incidences / S. Benghalem (2002)PermalinkSéparation des décalages induits par l'attitude et le relief entre images d'un couple stéréoscopique / Sylvie Roques (2001)PermalinkReconstruction tridimensionnelle à partir d'une séquence d'images : application à l'imagerie aérienne / Brigitte Géraud (1999)Permalink