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Extracting dynamic spatial data from airborne imaging sensors to support traffic flow estimation / Charles K. Toth in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 3-4 (December 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 61 n° 3-4 (December 2006) . - pp 137 - 148 Titre : Extracting dynamic spatial data from airborne imaging sensors to support traffic flow estimation Type de document : Article/Communication Auteurs : Charles K. Toth, Auteur ; Dorota A. Grejner-Brzezinska, Auteur Année de publication : 2006 Article en page(s) : pp 137 - 148 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] caméra numérique [Termes IGN] extraction automatique [Termes IGN] image aérienne [Termes IGN] information géographique [Termes IGN] objet mobile [Termes IGN] réseau routier [Termes IGN] télémétrie laser aéroporté [Termes IGN] trafic routier Résumé : (Auteur) The recent transition from analog to totally digital data acquisition and processing techniques in airborne surveying represents a major milestone in the evolution of spatial information science and practice. On one hand, the improved quality of the primary sensor data can provide the foundation for better automation of the information extraction processes. This phenomenon is also strongly supported by continuously expanding computer technology, which offers almost unlimited processing power. On the other hand, the variety of the data, including rich information content and better temporal characteristics, acquired by the new digital sensors and coupled with rapidly advancing processing techniques, is broadening the applications of airborne surveying. One of these new application areas is traffic flow extraction aimed at supporting better traffic monitoring and management. Transportation mapping has always represented a significant segment of civilian mapping and is mainly concerned with road corridor mapping for design and engineering purposes, infrastructure mapping and facility management, and more recently, environmental mapping. In all these cases, the objective of the mapping is to extract the static features of the object space, such as man-made and natural objects, typically along the road network. In contrast, the traffic moving in the transportation network represents a very dynamic environment, which complicates the spatial data extraction processes as the signals of moving vehicles should be identified and removed. Rather than removing and discarding the signals, however, they can be turned into traffic flow information. This paper reviews initial research efforts to extract traffic flow information from laserscanner and digital camera sensors installed in airborne platforms. Copyright ISPRS Numéro de notice : A2006-602 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.09.010 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.09.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28325 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-06091	RAB	Atlas / Beau livre	Centre de documentation	En réserve L003	Exclu du prêt

A semi-automatic framework for highway extraction and vehicle detection based on a geometric deformable model / X. Niu in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 3-4 (December 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 61 n° 3-4 (December 2006) . - pp 170 - 186 Titre : A semi-automatic framework for highway extraction and vehicle detection based on a geometric deformable model Type de document : Article/Communication Auteurs : X. Niu, Auteur Année de publication : 2006 Article en page(s) : pp 170 - 186 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] autoroute [Termes IGN] détection de cible [Termes IGN] extraction du réseau routier [Termes IGN] objet mobile [Termes IGN] orthophotoplan numérique [Termes IGN] photographie aérienne [Termes IGN] trafic routier Résumé : (Auteur) Road extraction and vehicle detection are two of the most important steps of traffic flow analysis from multi-frame aerial photographs. The traditional way of deriving traffic flow trajectories relies on manual vehicle counting from a sequence of aerial photographs. It is tedious and time-consuming work. To improve this process, this research presents a new semi-automatic framework for highway extraction and vehicle detection from aerial photographs. The basis of the new framework is a geometric deformable model. This model refers to the minimization of an objective function that connects the optimization problem with the propagation of regular curves. Utilizing implicit representation of two-dimensional curve, the implementation of this model is capable of dealing with topological changes during curve deformation process and the output is independent of the position of the initial curves. A seed point propagation framework is designed and implemented. This framework incorporates highway extraction, tracking, and linking into one procedure. Manually selected seed points can be automatically propagated throughout a whole highway network. During the process, road center points are also extracted, which introduces a search direction for solving possible blocking problems. This new framework has been successfully applied to highway network extraction and vehicle detection from a large orthophoto mosaic. In this research, vehicles on the extracted highway network were detected with an 83% success rate. Copyright ISPRS Numéro de notice : A2006-603 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.08.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.08.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28326 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-06091	RAB	Atlas / Beau livre	Centre de documentation	En réserve L003	Exclu du prêt

Ground target tracking and road map extraction / W Koch in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 3-4 (December 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 61 n° 3-4 (December 2006) . - pp 197 - 208 Titre : Ground target tracking and road map extraction Type de document : Article/Communication Auteurs : W Koch, Auteur ; J. Koller, Auteur ; M. Ulmke, Auteur Année de publication : 2006 Article en page(s) : pp 197 - 208 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] classification bayesienne [Termes IGN] extraction du réseau routier [Termes IGN] image aérienne [Termes IGN] image radar [Termes IGN] précision des données [Termes IGN] trafic routier Résumé : (Auteur) For analyzing dynamic scenarios with many ground moving vehicles, airborne Ground Moving Target Indicator (GMTI) radar is well-suited due to its wide-area, all-weather, day/night, and real time capabilities. The generation of GMTI tracks from these data is the backbone for ground surveillance and traffic flow analysis. In case of dense target situations, missing detections and false alarms, Multi-Hypotheses Tracking (MHT) is the method at choice to solve the inherent ambiguities in the data-targets assignment problem. The resulting MHT-tracks are suited to extract road map information which is highly up-to-date and fairly precise. Moreover, their accuracy is quantitatively described. The precision of the extracted road segments can be improved significantly using smoothed or retrodicted tracks. In turn, the extracted road information is exploited for the precise tracking of succeeding road targets. The proposed, fully Bayesian approach is illustrated by a simulated example including Doppler and terrain obscuration, providing hints to the achievable road map accuracies. Numéro de notice : A2006-604 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.09.013 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.09.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28327 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-06091	RAB	Atlas / Beau livre	Centre de documentation	En réserve L003	Exclu du prêt

Analysis of ground moving objects using SRTM/X-SAR data / S. Suchandt in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 3-4 (December 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 61 n° 3-4 (December 2006) . - pp 209 - 224 Titre : Analysis of ground moving objects using SRTM/X-SAR data Type de document : Article/Communication Auteurs : S. Suchandt, Auteur ; M. Eineder, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 209 - 224 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] détection d'objet [Termes IGN] détection de cible [Termes IGN] image radar [Termes IGN] image SRTM [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] objet mobile [Termes IGN] radargrammétrie Résumé : (Auteur) The Shuttle Radar Topography Mission (SRTM) was flown in February 2000 to map the world's land mass with high accuracy, using two Synthetic Aperture Radar (SAR) systems. Spaceborne single-pass across-track SAR interferometry was used for the first time. The mechanical configuration of the interferometer formed both an across-track and a small along-track baseline between the antennas in the cargo bay of the space shuttle and at the tip of the deployable boom. SAR Along-Track Interferometry (ATI) is sensitive to ground motion and was recently proposed for traffic monitoring applications. Due to the along-track baseline, SRTM data currently offer the unique opportunity to study the effects of moving objects on high-resolution spaceborne SAR ATI data. This paper presents an analysis of moving vehicles in SRTM/X-SAR ATI data as well as application examples, and describes specific SAR processing techniques for vehicle detection and velocity measurement. Copyright ISPRS Numéro de notice : A2006-605 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.09.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.09.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28328 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-06091	RAB	Atlas / Beau livre	Centre de documentation	En réserve L003	Exclu du prêt