Centre de documentation
scientifique

Remote Sensing / Andrew Hammond (2021)  

Public Titre : Remote Sensing Type de document : Monographie Auteurs : Andrew Hammond, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 140 p. ISBN/ISSN/EAN : 978-1-83880-978-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes IGN] Amérique du sud [Termes IGN] analyse d'image orientée objet [Termes IGN] biomasse [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] données spatiotemporelles [Termes IGN] Enhanced vegetation index [Termes IGN] géostatistique [Termes IGN] image Sentinel-MSI [Termes IGN] image Terra-MODIS [Termes IGN] incendie de forêt [Termes IGN] Inde [Termes IGN] mésosphère [Termes IGN] précision stéréoscopique [Termes IGN] sciences naturelles [Termes IGN] segmentation d'image [Termes IGN] série temporelle [Termes IGN] stratosphère [Termes IGN] système d'information géographique [Termes IGN] température au sol [Termes IGN] troposphère Index. décimale : 35.00 Télédétection - généralités Résumé : (Editeur) This Edited Volume is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of Remote Sensing. The book comprises single chapters authored by various researchers and edited by an expert active in this research area. All chapters are complete in themselves but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on this field of study, and open new possible research paths for further novel developments. Note de contenu : 1. Lidar Observations in South America. Part I - Mesosphere and Stratosphere 2. Lidar Observations in South America. Part II - Troposphere 3. Application of Remote Sensing in Natural Sciences 4. Assessment of Ecological Disturbance Caused by Flood and Fire in Assam Forests, India, Using MODIS Time Series Data of 2001-2011 5. Delineation of Open-Pit Mining Boundaries on Multispectral Imagery 6. Stereoscopic Precision of the Large Format Digital Cameras 7. Remote Sensing Applications in Disease Mapping Numéro de notice : 26799 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87829 Date de publication en ligne : 08/12/2021 En ligne : https://doi.org/10.5772/intechopen.87829 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100066

A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs / Ali Hosseininaveh Ahmadabadian in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 78 (April 2013) . - pp 157 - 167 Titre : A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs Type de document : Article/Communication Auteurs : Ali Hosseininaveh Ahmadabadian, Auteur ; Stuart Robson, Auteur ; Johannes Böhm , Auteur Année de publication : 2013 Article en page(s) : pp 157 - 167 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] appariement d'images [Termes IGN] appariement dense [Termes IGN] caméra numérique [Termes IGN] compensation par faisceaux [Termes IGN] contrainte géométrique [Termes IGN] espace objet [Termes IGN] MicMac [Termes IGN] photogrammétrie métrologique [Termes IGN] précision stéréoscopique [Termes IGN] reconstruction 3D [Termes IGN] reconstruction d'objet [Termes IGN] semis de points [Termes IGN] structure-from-motion Résumé : (Auteur) Photogrammetric methods for dense 3D surface reconstruction are increasingly available to both professional and amateur users who have requirements that span a wide variety of applications. One of the key concerns in choosing an appropriate method is to understand the achievable accuracy and how choices made within the workflow can alter that outcome. In this paper we consider accuracy in two components: the ability to generate a correctly scaled 3D model; and the ability to automatically deliver a high quality data set that provides good agreement to a reference surface. The determination of scale information is particularly important, since a network of images usually only provides angle measurements and thus leads to unscaled geometry. A solution is the introduction of known distances in object space, such as base lines between camera stations or distances between control points. In order to avoid using known object distances, the method presented in this paper exploits a calibrated stereo camera utilizing the calibrated base line information from the camera pair as an observational based geometric constraint. The method provides distance information throughout the object volume by orbiting the object. In order to test the performance of this approach, four topical surface matching methods have been investigated to determine their ability to produce accurate, dense point clouds. The methods include two versions of Semi-Global Matching as well as MicMac and Patch-based Multi-View Stereo (PMVS). These methods are implemented on a set of stereo images captured from four carefully selected objects by using (1) an off-the-shelf low cost 3D camera and (2) a pair of Nikon D700 DSLR cameras rigidly mounted in close proximity to each other. Inter-comparisons demonstrate the subtle differences between each of these permutations. The point clouds are also compared to a dataset obtained with a Nikon MMD laser scanner. Finally, the established process of achieving accurate point clouds from images and known object space distances are compared with the presented strategies. Results from the matching demonstrate that if a good imaging network is provided, using a stereo camera and bundle adjustment with geometric constraints can effectively resolve the scale. Among the strategies for dense 3D reconstruction, using the presented method for solving the scale problem and PMVS on the images captured with two DSLR cameras resulted in a dense point cloud as accurate as the Nikon laser scanner dataset. Numéro de notice : A2013-184 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.01.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.01.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32322 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2013041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Testing the stereoscopic precision of a large-format digital camera / Benjamin Arias in Photogrammetric record, vol 24 n° 126 (June - August 2009)  

Public [article]  inPhotogrammetric record > vol 24 n° 126 (June - August 2009) . - pp 157 - 170 Titre : Testing the stereoscopic precision of a large-format digital camera Type de document : Article/Communication Auteurs : Benjamin Arias, Auteur ; J. Gomez-Lahoz, Auteur Année de publication : 2009 Article en page(s) : pp 157 - 170 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] analyse comparative [Termes IGN] caméra numérique [Termes IGN] chambre à grand format [Termes IGN] erreur systématique [Termes IGN] image aérienne [Termes IGN] précision stéréoscopique [Termes IGN] stéréoscopie Résumé : (Auteur) The use of large-format digital cameras in aerial photogrammetry is leading to great improvements in photogrammetric production. Since they were first introduced about 10 years ago, the technological community has been testing and investigating the conditions under which this major change can be consolidated. But a certain (and understandable) bias may be noticed in the efforts that developers, researchers and clients are undertaking. Almost all of the efforts aim at checking the quality of automated measurements and very little attention has been directed to stereoscopic measurements by human operators, which, nevertheless, still represent an important task that needs to be carried out in the production chain. This paper presents the results from a number of tests (13 operators from a variety of enterprises) performed to check the stereoscopic precision of Vexcel UltraCamD camera images compared with Leica RC30 film images. The main conclusion to be drawn from the empirical data is that stereoscopic precision does not depend on the type of camera. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2009-208 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2009.00530.x En ligne : https://doi.org/10.1111/j.1477-9730.2009.00530.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29838 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-09021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Manuel de photogrammétrie, 14. Tome 4 : appareils de restitution. Chapitre 4.2 : vision binoculaire / International training centre for aerial survey (Pays-Bas) (1966)

Public Titre de série : Manuel de photogrammétrie, 14 Titre : Tome 4 : appareils de restitution. Chapitre 4.2 : vision binoculaire Type de document : Guide/Manuel Auteurs : International training centre for aerial survey (Pays-Bas), Auteur Editeur : Enschede : International Institute for Aerospace Survey and Earth Sciences ITC Année de publication : 1966 Collection : ITC Textbook = Manuel ITC Importance : 41 p. Format : 16 x 24 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Photogrammétrie [Termes IGN] modèle stéréoscopique [Termes IGN] précision stéréoscopique [Termes IGN] restitution [Termes IGN] stéréoscope [Termes IGN] vision [Termes IGN] vision binoculaire Index. décimale : 33.00 Photogrammétrie - généralités Numéro de notice : 45736N Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel de cours Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=47808