Centre de documentation
scientifique

Precise georeferencing of long strips of ALOS imagery / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 1 (January 2011) . - pp 87 - 93 Titre : Precise georeferencing of long strips of ALOS imagery Type de document : Article/Communication Auteurs : Clive Simpson Fraser, Auteur ; M. Ravanbakhsh, Auteur Année de publication : 2011 Article en page(s) : pp 87 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] compensation par bloc [Termes IGN] géoréférencement [Termes IGN] image ALOS-PRISM [Termes IGN] modèle géométrique de prise de vue [Termes IGN] modèle par fonctions rationnelles [Termes IGN] point d'appui Résumé : (Auteur) The main obstacle to achieving high precision in georeferencing from high-resolution satellite imagery (hrsi) remains the need for provision of good quality ground control points (GCPs), whether the GCPs are used to remove biases in RFC triangulation or to support physical sensor orientation models. The provision of GCPs can be very costly and is often not feasible in remote regions, the very areas where mapping from satellite imagery shows significant potential. In order to drastically reduce the number of GCPs required for georeferencing from HRSI, a generic sensor orientation model incorporating strip adjustment capability has been adopted. Under this approach, the metadata for each separate scene is merged to produce a single, continuous set of orbit and attitude parameters, such that the entire strip of tens of images can be treated as a single image. The merging of orbit data results in a considerable reduction in both the number of unknown parameters and the number of required GCPs in the sensor orientation. RPCs are then generated from the adjusted orientation data for each image forming the strip or block. Application of the method to very long strips of ALOS PRISM imagery is reported in this paper. The results of experimental testing indicate that one-pixel level accuracy can be achieved over strip lengths of more than 50 ALOS images, or 1,500 km, with as few as four GCPs. Numéro de notice : A2011-004 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.1.87 En ligne : https://doi.org/10.14358/PERS.77.1.87 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30786 [article]

Automatic detection of residential building using LIDAR data and multispectral imagery / M. Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 5 (September - October 2010) . - pp 457 - 467 Titre : Automatic detection of residential building using LIDAR data and multispectral imagery Type de document : Article/Communication Auteurs : M. Awrangjeb, Auteur ; M. Ravanbakhsh, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2010 Article en page(s) : pp 457 - 467 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] correction d'image [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] image multibande [Termes IGN] masque [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] seuillage d'image Résumé : (Auteur) This paper presents an automatic building detection technique using LIDAR data and multispectral imagery. Two masks are obtained from the LIDAR data: a ‘primary building mask’ and a ‘secondary building mask’. The primary building mask indicates the void areas where the laser does not reach below a certain height threshold. The secondary building mask indicates the filled areas, from where the laser reflects, above the same threshold. Line segments are extracted from around the void areas in the primary building mask. Line segments around trees are removed using the normalized difference vegetation index derived from the orthorectified multispectral images. The initial building positions are obtained based on the remaining line segments. The complete buildings are detected from their initial positions using the two masks and multispectral images in the YIQ colour system. It is experimentally shown that the proposed technique can successfully detect urban residential buildings, when assessed in terms of 15 indices including completeness, correctness and quality. Numéro de notice : A2010-448 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.06.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.06.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30641 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2010051	SL	Revue	Centre de documentation	Revues en salle	Disponible

Road junction extraction from high-resolution aerial imagery / M. Ravanbakhsh in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)  

Public [article]  inPhotogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 405 - 423 Titre : Road junction extraction from high-resolution aerial imagery Type de document : Article/Communication Auteurs : M. Ravanbakhsh, Auteur ; Christian Heipke, Auteur ; Kian Pakzad, Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne Article en page(s) : pp 405 - 423 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] carrefour [Termes IGN] extraction automatique [Termes IGN] extraction du réseau routier [Termes IGN] image aérienne [Termes IGN] objet géographique zonal [Termes IGN] réseau routier Résumé : (Auteur) Road junctions are important components of a road network. However, they are usually not explicitly modelled in existing road extraction approaches. In this research, road junctions are modelled in detail as area objects and an approach is proposed for their automatic extraction through the use of an existing geospatial database. Prior knowledge derived from a topographic geospatial database is used to facilitate the extraction. A new snake-based approach is proposed that makes use of the "ziplock snake" concept and whose external force is a combination of the gradient vector flow (GVF) force and the balloon force in order to delineate the junction border. Road arm extraction results provide fixed boundary conditions for the proposed snake. The approach was tested using aerial black-and-white Digital Mapping Camera (DMC) ortho-images of 0·1 m ground resolution taken from suburban and rural areas. The results obtained demonstrate the validity of this approach. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-420 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00496.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00496.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29491 [article]