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DEM generation from SPOT-5 3-fold along track stereoscopic imagery using autocalibration / W. Kornus in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
Titre : DEM generation from SPOT-5 3-fold along track stereoscopic imagery using autocalibration Type de document : Article/Communication Auteurs : W. Kornus, Auteur ; R. Alamus, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 147 - 159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes descripteurs IGN] autoétalonnage
[Termes descripteurs IGN] compensation par faisceaux
[Termes descripteurs IGN] erreur moyenne quadratique
[Termes descripteurs IGN] espace objet
[Termes descripteurs IGN] image SPOT-HRS
[Termes descripteurs IGN] modèle numérique de surface
[Termes descripteurs IGN] modèle numérique de terrain
[Termes descripteurs IGN] point d'appui
[Termes descripteurs IGN] précision du positionnement
[Termes descripteurs IGN] semis de pointsRésumé : (Auteur) This paper describes the derivation and accuracy assessment of Digital Elevation Models (DEM) from 3-fold along-track stereoscopic SPOT-5 imagery. The work was conducted in the scope of the HRS (Haute Resolution Stereoscopique)-Scientifïc Assessment Program, organized by the Centre National d'Etudes Spatiales (CNES) and the International Society of Photogrammetry and Remote Sensing (ISPRS). The orientation of the SPOT-5 image scene is reconstructed by bundle adjustment using ground control points. The functional model is based on correction polynomials and permits autocalibration. At 17 independent check points a RMS-error of 2 m was achieved. DEM are produced in two different ways: The more rigorous way employs an automatic region growing image matching process generating a dense point cloud in image space, transforms it into the object space using the estimated model parameters and converts it into a regular grid DEM. In a second approach the commercial software ISAE and rational functions are applied. The comparison with a digital terrain model (DTM) of superior accuracy yields standard deviations better than 5 m in flat and moderate terrain and better than 10 m in mountainous regions. With ISAE a DEM for the entire image area (approx. 60 x 80 km) is produced with a standard deviation of approximately 8 m. All grid points were generated fully automatically, i.e. the presented standard deviations still include the effect of large differences between the produced DEM and the DTM. Copyright ISPRS Numéro de notice : A2006-226 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27953
in ISPRS Journal of photogrammetry and remote sensing > vol 60 n° 3 (May 2006) . - pp 147 - 159[article]Réservation
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Titre : Generation of DSMs from SPOT-5 in-track HRS and across-track HRG stereo data using spatiotriangulation and autocalibration Type de document : Article/Communication Auteurs : Thierry Toutin, Auteur Année de publication : 2006 Article en page(s) : pp 170 - 181 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes descripteurs IGN] analyse comparative
[Termes descripteurs IGN] autoétalonnage
[Termes descripteurs IGN] données lidar
[Termes descripteurs IGN] erreur de mesure
[Termes descripteurs IGN] image SPOT-HRG
[Termes descripteurs IGN] image SPOT-HRS
[Termes descripteurs IGN] modèle numérique de terrain
[Termes descripteurs IGN] point d'appui
[Termes descripteurs IGN] précision du positionnement
[Termes descripteurs IGN] spatiotriangulation
[Termes descripteurs IGN] traitement d'imageRésumé : (Auteur) Digital terrain models (DTMs) were extracted from SPOT-5 High Resolution Stereoscopic (HRS, 10m resolution) in-track stereo-images and High Resolution Geometric (HRG, 5m resolution) across-track stereo-images using a three-dimensional (3D) multisensor physical model developed at the Canada Centre for Remote Sensing, Natural Resources Canada, and were evaluated against precise lidar data. Firstly, the stereo HRS and HRG photogrammetric bundle block adjustments using spatiotriangulation and autocalibration were set-up with 10 ground control points and errors of about half-resolution were obtained over 190 and 95 independent checkpoints (ICPs): 6.4m, 6.8m and 5.1m in X, Y and Z axes, and 2.6m, 2.2m and 2.9m in X, Y and Z axes for HRS and HRG, respectively. The internal accuracy are, however, better because these errors include the half-pixel image plotting error and the 3m cartographic error on ICPs. Only the results with HRS were achieved with autocalibration of the lens to correct for the radial distortions due to the largest number of pixels. The DTMs were then generated using an area-based multi-scale image matching method and 3D semi-automatic editing tools, and then compared to lidar data with 0.2m accuracy in elevation. An elevation error with 68% confidence level (LE68) of 5.2m and 6.5m were achieved over the full area for HRS and HRG, respectively. Since the DTM is in fact a digital surface model where the height, or a part, of different land cover classes (trees, houses) is included, the accuracy is depending on the land cover types. Using previous 3D visual classification, different classes (forests, residential areas, bare surfaces) were generated to take into account the height of the surfaces (natural and human-made) in the accuracy evaluation. LE68 values of 3.2m to 6.7m were thus obtained depending on the land cover types. On the other hand, LE68 values of 2.4m and 2.2m were obtained over bare surfaces for HRS and HRG, respectively. These last results are more representative of the real stereo SPOT-5 potential for DTM, compliant with the highest topographic standard. Copyright ISPRS Numéro de notice : A2006-228 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.02.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.02.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27955
in ISPRS Journal of photogrammetry and remote sensing > vol 60 n° 3 (May 2006) . - pp 170 - 181[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-06031 SL Revue Centre de documentation Revues en salle Disponible Mise en place d'un procédé photogrammétrique simple pour le relevé des tessons de céramique en archéologie / Mahzad Kalantari (2005)
Titre : Mise en place d'un procédé photogrammétrique simple pour le relevé des tessons de céramique en archéologie Type de document : Mémoire Auteurs : Mahzad Kalantari, Auteur Editeur : Champs/Marne : Université de Marne-la-Vallée Année de publication : 2005 Importance : 69 p. Format : 21 x 30 cm Note générale : Bibliographie
Mémoire de master 2ème année, spécialité : sciences de l'information géographiqueLangues : Français (fre) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes descripteurs IGN] archéologie
[Termes descripteurs IGN] autoétalonnage
[Termes descripteurs IGN] chambre de prise de vue numérique
[Termes descripteurs IGN] distorsion d'image
[Termes descripteurs IGN] élément d'orientation externe
[Termes descripteurs IGN] élément d'orientation interne
[Termes descripteurs IGN] étalonnage de capteur (imagerie)
[Termes descripteurs IGN] fouille archéologique
[Termes descripteurs IGN] géométrie de l'image
[Termes descripteurs IGN] longueur focale
[Termes descripteurs IGN] photogrammétrie métrologiqueIndex. décimale : DSIG Mémoires de master 2 IG, de master 2 SIG, de l'ex DEA SIG Résumé : (Auteur) Les tessons céramiques sont des morceaux de poterie trouvés dans les fouilles archéologiques. Leur relevé se fait actuellement à la main avec l'aide d'un conformateur. Afin de réduire la tache manuelle, une méthode basée sur la photogrammétrie est mise en place. Cette méthode a pour but de reproduire un modèle en 3 dimensions du tesson à partir d'images acquises par la caméra. La méthode doit aider les archéologues dans leurs travaux, elle doit garder sa simplicité en ayant des outils de mise en place facilement accessibles. Dans cette méthode les prises de vues sont faites avec des caméras numériques amateurs. Le principal problème de ces chambres de prise de vues est la forte distorsion de leurs systèmes d'optique, cette distorsion peut causer des erreurs dans les mesures photogrammétriques d'où l'intérêt d'étalonner la caméra, c'est-à-dire de retrouver les coefficients de distorsion, la distance et le centrage (les paramètres internes de la caméra). Dans notre méthode l'étalonnage se fait en même temps que les prises de vues, (autocalibrage) avec l'aide de simples panneaux quadrillés. La taille des tessons est en général pas très grande, les prises de vues sont faites à une distance très proche de l'objet en utilisant une longue focale. Les calculs obtenus montrent que notre méthode peut obtenir des résultats satisfaisants. Numéro de notice : 30180 Thématique : IMAGERIE Nature : Mémoire Master 2 IG Organisme de stage : ENSG Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=51644 Réservation
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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 descripteurs IGN] autoétalonnage
[Termes descripteurs IGN] C (langage)
[Termes descripteurs IGN] capteur aérien
[Termes descripteurs IGN] capteur en peigne
[Termes descripteurs IGN] capteur spatial
[Termes descripteurs IGN] chambre DTC
[Termes descripteurs IGN] compensation par faisceaux
[Termes descripteurs IGN] géométrie de l'image
[Termes descripteurs IGN] géoréférencement direct
[Termes descripteurs IGN] géoréférencement indirect
[Termes descripteurs IGN] GPS-INS
[Termes descripteurs IGN] image EROS
[Termes descripteurs IGN] image MOMS-2P
[Termes descripteurs IGN] image SPOT-HRS
[Termes descripteurs IGN] image Terra-ASTER
[Termes descripteurs IGN] image Terra-MISR
[Termes descripteurs IGN] modèle géométrique de prise de vue
[Termes descripteurs IGN] modèle mathématique
[Termes descripteurs IGN] modèle par fonctions rationnelles
[Termes descripteurs IGN] modèle stéréoscopique
[Termes descripteurs IGN] orientation du capteur
[Termes descripteurs IGN] orientation externe
[Termes descripteurs IGN] orientation interne
[Termes descripteurs IGN] point d'appui
[Termes descripteurs IGN] point de liaison (imagerie)
[Termes descripteurs IGN] point de vérificationRésumé : (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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contenu dans Proceedings, 11th international workshop on laser ranging, Deggendorf, September 20 - 25, 1998, 2. Volume 2 / W. Schlüter (1999)
Titre : A new way for reducing biases in SLR timing Type de document : Article/Communication Auteurs : Michel Kasser, Auteur ; Olivier Bock Congrès : 11th international workshop on laser ranging (20 - 25 septembre 1998; Deggendorf, Allemagne), Commanditaire Editeur : Francfort sur le Main : Bundesamt für Kartographie und Geodäsie Année de publication : 01/01/1999 Importance : pp 664 - 673 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes descripteurs IGN] autoétalonnage
[Termes descripteurs IGN] erreur systématique
[Termes descripteurs IGN] télémètre
[Termes descripteurs IGN] télémétrie laser sur satelliteRésumé : (Auteur) A self-calibrated SLR systern with an optimum range recelver is presented. Self-calibration of a common transmitter / receiver systern is achieved by a highly accurate optical clock signal fed onto the photodetector. Transmitted and received laser ranging pulses are digitized in separate oscilloscope records along with a set of optical clock pulses in each record. The two time frames are synchronized in a post-process owing to the clock signal. All the pulses (clock and laser) are timed with a cross-correlation technique which has been proved to be very efficient in previous work. There, using a 1 0-ns detection stage response time and a 1 -Gs/s sampling rate, a ranging accuracy as high as 3 mm was obtained in single shot for a SN-R of ~100. Extrapolation of the technique to two-color SLR measurements is also described. A single-shot accuracy below 5 ps is predicted with a 8-Gs/s sampling rate. Numéro de notice : C1998-028 Affiliation des auteurs : IGN (1940-2011) Thématique : POSITIONNEMENT Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65752 PermalinkPermalink
