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Digital image georeferencing from a multiple camera system by GPS-INS / M.M. Mostafa in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 1 (May - June 2001)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 56 n° 1 (May - June 2001) . - pp 1 - 12 Titre : Digital image georeferencing from a multiple camera system by GPS-INS Type de document : Article/Communication Auteurs : M.M. Mostafa, Auteur ; K.P. Schwarz, Auteur Année de publication : 2001 Article en page(s) : pp 1 - 12 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] aérotriangulation [Termes IGN] caméra numérique [Termes IGN] capteur aérien [Termes IGN] chambre métrique [Termes IGN] erreur moyenne quadratique [Termes IGN] erreur moyenne quadratique altimétrique [Termes IGN] étalonnage au sol [Termes IGN] étalonnage en vol [Termes IGN] géoréférencement direct [Termes IGN] GPS en mode différentiel [Termes IGN] GPS-INS [Termes IGN] image aérienne [Termes IGN] objet géographique 3D [Termes IGN] point d'appui Résumé : (Auteur) In this paper, the development and testing of an airborne fully digital multi-sensor system for digital mapping data acquisition is presented. The system acquires two streams of data, namely, navigation (georeferencing) data and imaging data. The navigation data are obtained by integrating an accurate strapdown inertial navigation system with a differential GPS system (DGPS). The imaging data are acquired by two low-cost digital cameras, configured in such a way so as to reduce their geometric limitations. The two cameras capture strips of overlapping nadir and oblique images. The GPS/INS-derived trajectory contains the full translational and rotational motion of the carrier aircraft. Thus, image exterior orientation information is extracted from the trajectory, during post-processing. This approach eliminates the need for ground control (GCP) when computing 3D positions of objects that appear in the field of view of the system imaging component. Two approaches for calibrating the system are presented, namely, terrestrial calibration and in-flight calibration. Test flights were conducted over the campus of The University of Calgary. Testing the system showed that best ground point positioning accuracy at 1:12,000 average image scale is 0.2 m (RMS) in casting and northing and 0.3 m (RMS) in height. Preliminary results indicate that major applications of such a system in the future are in the field of digital mapping, at scales of 1:5000 and smaller, and in the generation of digital elevation models for engineering applications. Copyright ISPRS Numéro de notice : A2001-216 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(01)00030-2 En ligne : https://doi.org/10.1016/S0924-2716(01)00030-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21910 [article]

Exemplaires(1)

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081-01021	SL	Revue	Centre de documentation	Revues en salle	Disponible

An improved model for automatic feature-based registration of SAR and SPOT images / Peter Dare in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 1 (May - June 2001)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 56 n° 1 (May - June 2001) . - pp 13 - 28 Titre : An improved model for automatic feature-based registration of SAR and SPOT images Type de document : Article/Communication Auteurs : Peter Dare, Auteur ; Ian J. Dowman, Auteur Année de publication : 2001 Article en page(s) : pp 13 - 28 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] appariement de formes [Termes IGN] Camargue [Termes IGN] extraction automatique [Termes IGN] image ERS-SAR [Termes IGN] image optique [Termes IGN] image radar [Termes IGN] image SPOT [Termes IGN] intégration de données [Termes IGN] méthode robuste [Termes IGN] primitive géométrique [Termes IGN] superposition d'images Résumé : (Auteur) Accurate image registration is essential for the successful creation and interpretation of multi-image spatial information products. However, the enormous increase in the volume of remotely sensed data that is being acquired by an ever growing number of Earth Observation satellites means that automation now plays a more vital role than ever before in the registration procedure. This paper introduces an improved model for automatic feature-based image registration, and presents a robust system for automatically registering SAR and SPOT imagery. The model incorporates multiple feature extraction and feature matching algorithms which operate together to identify common features in the multi-sensor images, from which accurate tie points can be derived. Application of the proposed automatic registration model to both small and large images showed that in each case a large number of accurate tie points could be identified fully automatically across the images. Copyright ISPRS Numéro de notice : A2001-217 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(01)00031-4 En ligne : https://doi.org/10.1016/S0924-2716(01)00031-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21911 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-01021	SL	Revue	Centre de documentation	Revues en salle	Disponible

Automatic relative orientation of large scale imagery over urban areas using modified Iterated Hough transform / A. Habib in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 1 (May - June 2001)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 56 n° 1 (May - June 2001) . - pp 29 - 41 Titre : Automatic relative orientation of large scale imagery over urban areas using modified Iterated Hough transform Type de document : Article/Communication Auteurs : A. Habib, Auteur ; D. Kelley, Auteur Année de publication : 2001 Article en page(s) : pp 29 - 41 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] appariement de formes [Termes IGN] couple stéréoscopique [Termes IGN] estimation statistique [Termes IGN] méthode robuste [Termes IGN] milieu urbain [Termes IGN] objet géographique linéaire [Termes IGN] orientation automatique [Termes IGN] orientation relative [Termes IGN] photographie à grande échelle [Termes IGN] primitive géométrique [Termes IGN] transformation de Hough Résumé : (Auteur) The automation of relative orientation (RO) has been the major focus of the photogrammetric research community in the last decade. Despite the reported progress, there is no reliable (robust) approach that can perform automatic relative orientation (ARO) using large-scale imagery over urban areas. A reliable and general method for solving matching problems in various photogrammetric activities has been developed at The Ohio State University. This approach has been used to solve single photo resection using free-form linear features, surface matching and relative orientation. The approach estimates the parameters of a mathematical model relating the entities of two data sets when the correspondence of the involved entities is unknown. When applied to relative orientation, the co planarity model is used to relate extracted edge pixels and/or feature points from a stereo-pair. In its execution, the relative orientation parameters are solved sequentially, using the co planarity model to evaluate all possible pairings of the input primitives and choosing the most probable solution. As a result of this technique, the matched entities that correspond to the parameter solution are implicitly determined. Experiments using real data conclude that this is a robust method for relative orientation for both urban and rural scenes. Copyright ISPRS Numéro de notice : A2001-218 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(01)00032-6 En ligne : https://doi.org/10.1016/S0924-2716(01)00032-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21912 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-01021	SL	Revue	Centre de documentation	Revues en salle	Disponible

Improving area-based matching by using surface gradients in the pixel co-ordinate transformation / M. Mustaffar in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 1 (May - June 2001)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 56 n° 1 (May - June 2001) . - pp 42 - 52 Titre : Improving area-based matching by using surface gradients in the pixel co-ordinate transformation Type de document : Article/Communication Auteurs : M. Mustaffar, Auteur ; H.L. Mitchell, Auteur Année de publication : 2001 Article en page(s) : pp 42 - 52 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] appariement de formes [Termes IGN] géométrie affine [Termes IGN] méthode des moindres carrés [Termes IGN] modèle géométrique [Termes IGN] photogrammétrie métrologique Résumé : (Auteur) Area-based least squares matching has existed since the 1980s, and its development may therefore be regarded by some photogrammetrists as complete. However, this is a relatively short time in a rapidly changing discipline, and the method does have scope for further refinement. This paper aims to enhance the fidelity of the fundamental mathematical model, which relates pixel positions in area-based matching. If successful, its benefit is seen to lie within close-range photogrammetry, in which object undulations, convergent camera directions and large image scales can introduce significant levels of perspective distortion. It is hypothesised that a model, which takes into account the surface shape within the match window, would provide a pixel position relationship which is applicable across larger windows than those which are applicable with the conventional matching model, based on an affine transformation. The use of larger windows for the image matching increases the redundancy. Revised co-ordinate transformations, based on mathematical surface models across the windows, are proposed in this paper. When tested on the measurement of real objects, even simple surface models are found to increase the complexity of the matching mathematics, but when compared with the traditional affine transformation solution using three test objects, precision improved noticeably. Generally, accuracy also improved, but the improvements were not as distinct as they were for precision. Quicker convergence with fewer iterations was usually obtained, and this is seen as particularly indicative of a more faithful model. Yet more rigorous surface modelling may be worth developing, but the means of choosing the most appropriate models for different objects also remains a question deserving to be pursued. Copyright ISPRS Numéro de notice : A2001-219 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(01)00034-X En ligne : https://doi.org/10.1016/S0924-2716(01)00034-X Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21913 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-01021	SL	Revue	Centre de documentation	Revues en salle	Disponible

Seamline detection in colour orthoimage mosaicking by use of twin snakes / M. Kerschner in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 1 (May - June 2001)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 56 n° 1 (May - June 2001) . - pp 53 - 64 Titre : Seamline detection in colour orthoimage mosaicking by use of twin snakes Type de document : Article/Communication Auteurs : M. Kerschner, Auteur Année de publication : 2001 Article en page(s) : pp 53 - 64 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] détection de contours [Termes IGN] mosaïque d'images [Termes IGN] orthoimage [Termes IGN] orthoimage couleur [Termes IGN] teinte Résumé : (Auteur) In the last step of the mosaic production chain, neighbouring and partly overlapping orthoimages of a scene are merged to one mosaic. This should be done in a way that the transition from one to another orthoimage cannot be seen. The production line of orthoimages consists of several steps, each of which can introduce a different appearance regarding geometry, radiometry and spectral properties to the resulting orthoimage. For mosaicking adjacent orthoimages, a path of lowest difference in a combination of criteria is searched in the overlap area of these images. The seamline is chosen along this path of maximum similarity. In this paper, criteria for such an optimal seamline in colour orthoimages are elaborated. The main requirements are on one hand high colour similarity of the images (mainly in hue and intensity), and on the other hand high texture similarity (in orientation and magnitude of image gradients). The specified criteria are formulated in the energy function of snakes. A snake is an active contour which moves through an image and changes its shape until a minimum of its energy function is found. We use two snakes that attract one another (twin snakes). In a hierarchical strategy, a proper seamline is delineated fully automatically. The potential of the method is shown with an example. Copyright ISPRS Numéro de notice : A2001-220 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(01)00033-8 En ligne : https://doi.org/10.1016/S0924-2716(01)00033-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21914 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-01021	SL	Revue	Centre de documentation	Revues en salle	Disponible

Spatial prediction and uncertainty assessment of topographic factor for revised universal soil loss equation using digital elevation models / G. Wang in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 1 (May - June 2001)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 56 n° 1 (May - June 2001) . - pp 65 - 80 Titre : Spatial prediction and uncertainty assessment of topographic factor for revised universal soil loss equation using digital elevation models Type de document : Article/Communication Auteurs : G. Wang, Auteur ; G. Gertner, Auteur ; P. Parysow, Auteur ; A. Anderson, Auteur Année de publication : 2001 Article en page(s) : pp 65 - 80 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] érosion [Termes IGN] géostatistique [Termes IGN] incertitude des données [Termes IGN] modèle numérique de surface [Termes IGN] modèle RUSLE [Termes IGN] prédiction Résumé : (Auteur) Revised Universal Soil Loss Equation (RUSLE) is a model to predict longtime average annual soil loss, related to rainfall-runoff, soil erodibility, slope length and steepness, cover management, and support practice. The product of slope length L and steepness S is called topographic factor LS, implying the topographic effect on soil loss. This study focuses on (a) spatially predicting the topographic factor LS for RUSLE using a Digital Elevation Model (DEM), (b) selecting the appropriate DEM spacing for predicting the LS factor, and (c) modeling the loss of spatial variability of the predicted LS factor due to DEM resampling. The results show that using the physically based topographical factor LS equation and DEMs led to a higher correlation of predicted LS values with topographical features, compared to a spatial simulation method based on LS empirical models and sample data. The appropriate DEM spacing required to achieve prediction precision and detailed spatial variability of the LS factor was not identical for both requirements and a compromise may be made depending on the application aims. By modeling the spatial variability of predicted LS values for different DEM spacing, a new method to directly measure loss of spatial variability due to data resampling was developed. Compared to measures of entropy and global variance, the new method can reveal the different losses of spatial variability in different directions when the spatial variability is anisotropic. Copyright ISPRS Numéro de notice : A2001-221 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(01)00035-1 En ligne : https://doi.org/10.1016/S0924-2716(01)00035-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21915 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-01021	SL	Revue	Centre de documentation	Revues en salle	Disponible