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A knowledge-based approach to urban feature classification using aerial imagery with Lidar data / M. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
[article]
Titre : A knowledge-based approach to urban feature classification using aerial imagery with Lidar data Type de document : Article/Communication Auteurs : M. Huang, Auteur ; S. Shyue, Auteur ; L.H. Lee, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1473 - 1485 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification à base de connaissances
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image aérienne
[Termes IGN] image multibande
[Termes IGN] image RVB
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] seuillage d'imageRésumé : (Auteur) While the spatial resolution of remotely sensed data has improved, multispectral imagery is still not sufficient for urban classification. Problems include the difficulty in discriminating between trees and grass, the misclassification of buildings due to diverse roof compositions and shadow effects, and the misclassification of cars on roads. Recently, lidar (light detection and ranging) data have been integrated with remotely sensed data to obtain better classification results. In this study, we first conducted maximum likelihood classification (MLC) experiments, a traditional pixel-based classification method, to identify features suitable for urban classification using lidar data and aerial imagery. The addition of lidar height data improved the overall accuracy by up to 28 and 18 percent, respectively, compared to cases with only red–green–blue (RGB) and multispectral imagery. To further improve classification, we propose a knowledge-based classification system (KBCS) that includes a three-level height, “asphalt road, vegetation, and non-vegetation” (A–V–N) classification rule-based scheme and knowledge-based correction (KBC). The proposed KBCS improved overall accuracy by 12 and 7 percent compared to maximum likelihood and object-based classification, respectively. Copyright ASPRS Numéro de notice : A2008-476 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1473 En ligne : https://doi.org/10.14358/PERS.74.12.1473 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29545
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1473 - 1485[article]Photogrammetric image acquisition and image analysis of oblique imagery / Görres Grenzdorffer in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
[article]
Titre : Photogrammetric image acquisition and image analysis of oblique imagery Type de document : Article/Communication Auteurs : Görres Grenzdorffer, Auteur ; M. Guretzki, Auteur ; I. Friedlander, 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 372 - 386 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse d'image numérique
[Termes IGN] caméra numérique
[Termes IGN] image aérienne
[Termes IGN] plan de vol
[Termes IGN] prise de vue aérienne
[Termes IGN] visée obliqueRésumé : (Auteur) Because of the intuitive human perception of the oblique view, photogrammetrists' attention has recently returned to oblique images. The demand for oblique imagery has been notably pushed by digital representations of the globe such as Microsoft's Virtual Earth and by the development of special GIS viewers including those by Pictometry and MultiVision. In this contribution the broad spectrum of applications of oblique images is presented. Most commonly oblique images are acquired with flexible digital airborne camera systems, which allow for easy collection of such imagery with photogrammetric quality. The digital airborne remote sensing system PFIFF developed at Rostock University will be introduced briefly. However, flight planning for oblique imagery differs from that for vertical aerial surveys. Two test flights with mono and stereo oblique images are presented. The data processing, display and measurement within oblique images from different perspectives requires new software such as MultiVision. Oblique images may also be used to texture 3D city models. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-418 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00499.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00499.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29489
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 372 - 386[article]Road junction extraction from high-resolution aerial imagery / M. Ravanbakhsh in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
[article]
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 routierRésumé : (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
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 405 - 423[article]Traffic extraction and characterisation from optical remote sensing data / Stefan Hinz in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
[article]
Titre : Traffic extraction and characterisation from optical remote sensing data Type de document : Article/Communication Auteurs : Stefan Hinz, Auteur ; D. Lenhart, Auteur ; Jens Leitloff, 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 424 - 440 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de données routières
[Termes IGN] données multisources
[Termes IGN] extraction de données
[Termes IGN] image aérienne
[Termes IGN] image optique
[Termes IGN] image satellite
[Termes IGN] modèle sémantique de données
[Termes IGN] prise en compte du contexte
[Termes IGN] surveillance routière
[Termes IGN] trafic routierRésumé : (Auteur) This paper presents a generic scheme to extract traffic information from both optical satellite imagery and optical airborne image sequences. The extraction is based on an explicit semantic model of traffic, from which, depending on the characteristics of the input data, different strategies for vehicle detection, vehicle queue extraction and motion estimation are derived. The model comprises different scales to exploit the scale-dependent properties of traffic imaged by optical sensors. It is furthermore extended by context information to include knowledge about background objects as well as metadata from a road database in a consistent way. Various tests with different input data have been carried out and compared with manually acquired ground truth data of vehicles and vehicle tracks. The results show clearly the high potential of airborne and spaceborne traffic monitoring, but also indicate room for methodological improvements and exhibit some inherent sensor-related drawbacks. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-421 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00497.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00497.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29492
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 424 - 440[article]From imagery to map: digital photogrammetric technologies, a report on the Croatia 2008 conference / Gordon Petrie in Geoinformatics, vol 11 n° 7 (01/11/2008)
[article]
Titre : From imagery to map: digital photogrammetric technologies, a report on the Croatia 2008 conference Type de document : Article/Communication Auteurs : Gordon Petrie, Auteur Année de publication : 2008 Article en page(s) : pp 42 - 47 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] acquisition d'images
[Termes IGN] cartographie numérique
[Termes IGN] image aérienne
[Termes IGN] image spatiale
[Termes IGN] instrument aéroporté
[Termes IGN] photogrammétrie numériqueRésumé : (Auteur) This well-established annual conference, which is now in its eighth year, was held in Porec, Croatia between 15th and 18th September 2008. As with the two previous meetings (which were held in Montenegro and Bulgaria), it took place in a Balkan country [...]. The conference was organised in a most competent manner by the Racurs company, the vast majority of the participants being users of the company's PHOTOMOD software products. Thus nearly 80 of the 120 participants were Russian-speaking, the rest being English-speaking. The format followed last year's very successful meeting in Bulgaria with coverage of airborne imaging and mapping on the first day and spaceborne imaging and mapping on the second day, while the third day was devoted to current and future developments in the Racurs company's software products. [...] Copyright GEOinformatics Numéro de notice : A2008-428 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29499
in Geoinformatics > vol 11 n° 7 (01/11/2008) . - pp 42 - 47[article]Réservation
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