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Titre : Semi-automatic road extraction from satellite and aerial images Type de document : Thèse/HDR Auteurs : Li, Auteur Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 1997 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 061 Importance : 164 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906513-96-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] extraction semi-automatique
[Termes IGN] fonction spline
[Termes IGN] image satellite
[Termes IGN] photographie aérienne
[Termes IGN] réseau routier
[Termes IGN] traitement d'imageIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (auteur) Of all parts in the process of GIS data generation from satellite and aerial images, the actual mapping phase is one of the most time consuming and expensive procedure. Research is therefore increasingly focusing on the development of efficient methods to automatically extract man-made objects like houses and roads from digital images. As fully automatic methods for mapping are still far out of reach, semi-automatic methods for feature extraction that interact with a human operator are considered to be a good compromise, combining the mensuration speed and accuracy of a computer algorithm with the interpretation skills of a human operator. This dissertation deals with semi-automatic linear feature extraction from digital images for GIS data capture, where the identification task is performed manually on a single image, while a special automatic digital module performs the high precision line tracking. More specifically, a human operator is used to identify the object from an on-screen display of a digital image, selects the particular class this object belongs to and provides some very few seed points coarsely distributed. This is done through activation of a mouse in a convenient interactive graphics-image user interface. Subsequently, with these seed points as an approximation of the position and shape, the linear feature will be extracted precisely and automatically by either a dynamic programming approach or LSB-Snakes. These techniques can be used in a monoplotting mode, which combines one image with its underlying DTM. The LSB-Snakes approach is also implemented in a multi-image mode, which uses multiple images simultaneously and provides for a robust and mathematically sound full 3-D approach. Firstly, we propose a semi-automatic road extraction scheme which combines the wavelet decomposition for road sharpening and a model driven linear feature extraction algorithm based on dynamic programming. With a wavelet transform interesting image structures can be enhanced and a multiresolution representation can be obtained by selection of a special wavelet. We have built a particular wavelet for road sharpening, which has been implemented as a fast pyramidal algorithm. In the model driven feature extraction scheme, a road is represented by a generic road model with six photometric and geometric properties. This model is formulated by some constraints and a merit function which embodies a notion of the "best road segment", and evaluated by a "time-delayed" dynamic programming algorithm. In order to reduce the computational complexity, a strategy of dynamic vertex insertion and deletion is developed. In such a way, even a long road segment can be handled efficiently. The mathematical foundation and issues relating to its practical implementation are discussed in detail. This approach has been applied very successfully to extract complete road structures from single SPOT scenes and small scale aerial images. Experimental results show that the algorithm is very robust in case of gaps and other distortions because of use of global photometric information and geometric constraints. Then, a general approach for linear feature extraction with active contour models is investigated. In general, the Snakes or active contour models feature extraction algorithm integrates both photometric and geometric constraints, with an initial estimate of the location of the feature, by an integral measure referred to as the total energy of Snakes. The local minimum in this energy defines the feature of interest. In this dissertation, active contour models are approximated by B-spline curves and formulated in terms of a combined least squares adjustment. The observation equations consist of the equations formulating the matching of a generic object model and image data, and those that express the geometric constraints and operator-given seed points. We call this novel concept of Snakes "LSB-Snakes" (Least Squares B-spline Snakes). LSB-Snakes considerably improve active contour models by using three new elements: (i) the possibility for internal quality control through computation of the covariance matrix of the estimated parameters, (ii) the exploitation of any a priori known geometric and photometric information to constrain the solution and (iii) the simultaneous use of any number of images. The least squares approach allows for precision and reliability assessment of the estimated 3-D feature via covariance matrix evaluation. This is in clear contrast to conventional methods of Snakes, which due to their particular theoretical background and formulation, do not provide any measures for the qualitative control of their results. Instead of a set of points on the feature, a B-spline representation of the linear feature is estimated. Through the connection of image and object space, assuming that the interior and exterior orientation of the sensors are known, any number of images can be simultaneously accommodated and the feature can be extracted in a 2-D as well as in a fully 3-D mode. Thus blunders in image data, like occlusions, can be controlled very well. At the same time, LSB-Snakes can be considered a new application and extension of the least squares template matching (LSM) techniques. Our LSB-Snakes concept is not restricted to road extraction. Other linear features, e.g. edges, can be modelled and extracted. In fact, anything which can be geometrically modelled by B-splines can be handled. This makes it a powerful general concept for semiautomated feature extraction, not only for the processing of aerial and space images, but also for a variety of close-range (machine vision) applications. The results obtained so far are very encouraging. Further studies will make use of more extensive data sets and will focus on the quality assessment and automated performance evaluation. Numéro de notice : 66887 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère DOI : 10.3929/ethz-a-001766570 En ligne : http://dx.doi.org/10.3929/ethz-a-001766570 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=61672 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 66887-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 66887-02 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Analysis of image structures using color attributes and similarity relations / Olof Henricsson (1996)
Titre : Analysis of image structures using color attributes and similarity relations Type de document : Thèse/HDR Auteurs : Olof Henricsson, Auteur Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 1996 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 059 Importance : 126 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906513-84-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique Index. décimale : 33.30 Photogrammétrie numérique Résumé : (auteur) Automatic methods for 3-D reconstruction of man-made objects is an important issue to many users and providers of 3-D city data, including urban planners, architects, and telecommunication and environmental engineers. Buildings are the most prominent and also the most complex man-made objects in 3-D city models, and their 3-D re¬ construction from aerial images requires many components, such as camera models, image processing, stereo matching, texture and color modeling, geometric processing and reasoning, as well as object modeling. This thesis addresses 2-D intermediate level visual processing. The main objective is to derive robust and efficient methods that process the raw image signal over several layers of abstraction to produce meaningful 2-D intermediate level structures. The work has been pursued with an specific application in mind—the automatic reconstruction of houses from aerial images. This application provides complex technical and conceptual challenges and provides a suitable benchmark for designing, implementing, and testing the methods required to solve the task. The presented work focuses on two problems: the generation of a hierarchical, intermediate level representation of the image structures and the design and implementation of a framework for house reconstruction. The symbolic representation is built upon primitive image features — edges, lines, and points — together with their attributes and relations. In the thesis, I emphasize the role that such a representation must take in supporting subsequent processes in instantiating complex objects, even when specific object models are not available. The presented approach to 2-D intermediate level visual processing essentially consists of four components: feature extraction, computation of contour and region attributes, computation of similarity relations, and contour grouping based on similarity. The first processing step detects edge, line, and point evidences, which are then aggregated into a coherent, symbolic representation of edges, lines and points - a contour graph. In a second step, attributes are computed for each extracted edge, line, and point. Of particular importance are the region attributes, which capture the photometric and chromatic surface properties in areas pertaining to both sides of the contours. The computed attributes are then attached to the corresponding feature. This derivation of spectral properties yields important cues, which enables subsequent processes to infer which contours belong to the boundaries of single objects. This specific task is the issue of the third stage. Apart from photometric and chromatic region attributes, geometric criteria are also used to compute a measure for similarity among pairs of edges and lines. The computed similarity relations are represented in the form of a sparse relations graph. The relations, together with the computed similarity score, constitute the graph nodes and compatible relations the graph arcs. The final processing step extracts closed figures (2-D enclosures) by searching for cycles in the relations graph using a standard depth-first search technique. The presented, novel technique to 2-D intermediate level processing has been success¬ fully integrated into a larger system for automatic house reconstruction. The approach relies on hierarchical hypothesis generation in both 2-D and 3-D. The general assumption is that a complete roof consists of a set of planar patches which mutually adjoin along their boundary. Based on this assumption, generic 3-D primitives (denoted 3-D patches in the sequel) are extracted. A 3-D patch is roughly planar and encloses a compact polygonal 2-D enclosure with similar photometric and chromatic attributes. The mutual interaction between planes and 2-D enclosures supports an effective generation of planar roof hypotheses in the image plane. This tight coupling between 2-D and 3-D processing is a major key for the excellent results on house reconstruction. Neither 2-D nor 3-D information alone are sufficient in order to obtain comparable results. By modeling not only the geometry of the roof, but also the spectral properties, complex roof shapes can be reconstructed. An important undertaking, in this thesis, is to show that geometric regularity, although important, cannot serve as sole basis for extracting complex intermediate level structures for which no specific models exist. I demonstrate that this complex problem can be solved by grouping edges and lines be means of similarity in photometric and chromatic attributes. Numéro de notice : 50531 Affiliation des auteurs : non IGN Autre URL associée : http://dx.doi.org/10.3929/ethz-a-001646765 Thématique : IMAGERIE Nature : Thèse étrangère DOI : 10.3929/ethz-a-001646765 En ligne : https://ethz.ch/content/dam/ethz/special-interest/baug/igp/igp-dam/documents/PhD [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=59103 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 50531-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 50531-02 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Digital photogrammetry / C. Greve (1996)
Titre : Digital photogrammetry : an addendum to the manual of photogrammetry Type de document : Guide/Manuel Auteurs : C. Greve, Auteur Editeur : Bethesda [Maryland - Etats-Unis] : American Society for Photogrammetry and Remote Sensing ASPRS Année de publication : 1996 Importance : 247 p. Format : 22 x 30 cm ISBN/ISSN/EAN : 978-1-57083-037-2 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] cartographie automatique
[Termes IGN] numérisation
[Termes IGN] numérisation de photographie
[Termes IGN] orthophotographie
[Termes IGN] positionnement par GPS
[Termes IGN] reconnaissance d'objetsIndex. décimale : 33.30 Photogrammétrie numérique Numéro de notice : 68154 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel de cours Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=49182 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 68154-02 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 68154-01 DEP-ELP Livre Marne-la-Vallée Dépôt en unité Exclu du prêt Erfassung und Rekonstruktion raumbezogener Objekte in Vektorform / M. Scheu (1996)
Titre : Erfassung und Rekonstruktion raumbezogener Objekte in Vektorform Titre original : [Acquisition et reconstruction des objets spatiaux basée sur des données vectorielles] Type de document : Thèse/HDR Auteurs : M. Scheu, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 1996 Collection : DGK - C Sous-collection : Dissertationen num. 451 Importance : 136 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-9494-9 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] données vectorielles
[Termes IGN] objet géographique
[Termes IGN] objet géographique complexe
[Termes IGN] reconstruction 3D
[Termes IGN] vectorisationIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) The transformation of conventional analog maps, plans and registers into a single Spatial Information System is a problem of data integration. The problem is illustrated using the examples of utility networks and land-registry data. The heterogeneous quality of the spatial data, demonstrates the need to design the data acquisition approach systematically.
The technique, called reconstruction, has been developed for spatial objects using a step-by-step approach. The data acquisition is split into different phases. From this range specific discussion of automation strategies is made for two steps. Point, line and polygon entities can be composed automatically in terms of constituent digitized points and arcs using several algorithms. Additionally, characteristic values have been determined from land-registry polygonal entities. This could allow the allocation of the polygons to one special class of object.
The registration of measurements is realized using a new documentation system. This opens up the possibility to document spatial data without the necessity for map-orientated location, or global coordinates. A study was performed which verified the practicality of the proposed method. Additionally, guidelines for an appropriate test implementation are provided. The system can be used for both the acquisition and presentation of the geometrical position of utility lines and house connections.
Spatial Information Systems are composed of several components: hardware, software and data. This work focuses on spatial data due to its very high value and durability compared to the others. The compact and systematic data orientated acquisition strategies developed, provide the most appropriate solution.Numéro de notice : 28038 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63385 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 28038-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 28038-02 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Experimental test on digital aerial triangulation / J. Jaakola (1996)
Titre : Experimental test on digital aerial triangulation Type de document : Rapport Auteurs : J. Jaakola, Auteur ; Tapani Sarjakoski, Auteur Editeur : Francfort sur le Main : Institut für Angewandte Geodäsie Année de publication : 1996 Collection : Official Publication OEEPE, ISSN 0257-0505 num. 31 Importance : 155 p. Format : 17 x 25 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] aérotriangulation
[Termes IGN] photogrammétrie numériqueIndex. décimale : 33.30 Photogrammétrie numérique Numéro de notice : 66146 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Rapport d'étude technique Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=61567 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 66146-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 66146-02 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible PermalinkInterpolation and analysis in hierarchical surface reconstruction / R. Al-Ahir (1996)PermalinkPermalinkLokale, regionale und globale Punktbestimmung mit Dreizeilenbilddaten und Bahninformation der Mars 96-Mission / T. Ohlhof (1996)PermalinkDigitale photogrammetrische Arbeitsstationen / Christian Heipke (1995)PermalinkFrom digital images to spatial objects / Christian Heipke (1995)PermalinkKartographische Mustererkennung : rasterorientierte Verfahren zur Erfassung von Geo-informationen / Roland Eduard Stengele (1995)PermalinkSecond course in digital photogrammetry, 1. Volume 1 / Institut für Photogrammetrie der Universität Stuttgart (Stuttgart, Allemagne) (1995)PermalinkSecond course in digital photogrammetry, 2. Vol 2 / Institut für Photogrammetrie der Universität Stuttgart (Stuttgart, Allemagne) (1995)PermalinkAufbau qualitativ hochwertiger Geländemodelle aus Höhenlinien / G. Aumann (1994)Permalink