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Extracting urban road networks from high-resolution true orthoimage and Lidar / J. Youn in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 2 (February 2008)
[article]
Titre : Extracting urban road networks from high-resolution true orthoimage and Lidar Type de document : Article/Communication Auteurs : J. Youn, Auteur ; J. Bethel, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 227 - 237 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] classification dirigée
[Termes IGN] données lidar
[Termes IGN] extraction automatique
[Termes IGN] lasergrammétrie
[Termes IGN] orthoimage intégrale
[Termes IGN] réseau routier
[Termes IGN] segmentation en régions
[Termes IGN] semis de points
[Termes IGN] zone urbaineRésumé : (Auteur) Automated or semi-automated feature extraction from remotely collected, large scale image data has been a challenging issue in digital photogrammetry for many years. In the feature extraction field, fusing different types of data to provide complementary information about the objects is becoming increasingly important. In this paper, we present a newly developed approach for the automatic extraction of urban area road networks from a true orthoimage and lidar assuming the road network to be a semi-grid pattern. The proposed approach starts from the subdivision of a study area into small regions based on homogeneity of the dominant road directions from the true orthoimage. Each region’s road candidates are selected with a proposed free passage measure. This process is called the “acupuncture” method. Features around the road candidates are used as key factors for an advanced “acupuncture method” called the region-based acupuncture method. Extracted road candidates are edited to avoid collocation with non-road features such as buildings and grass fields. In order to produce a building map for the prior step, a first-last return analysis and morphological filter are used with the lidar point cloud. A grass area thematic map is generated by supervised classification techniques from a synthetic image, which contains the three color bands from the true orthoimage and the lidar intensity value. Those non-road feature maps are used as a blocking mask for the roads. The accuracy of the result is evaluated quantitatively with respect to manually compiled road vectors, and a completeness of 80 percent and a correctness of 79 percent are obtained with the proposed algorithm on an area of 1,081,600 square meters. Copyright ASPRS Numéro de notice : A2008-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.2.227 En ligne : https://doi.org/10.14358/PERS.74.2.227 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29042
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 2 (February 2008) . - pp 227 - 237[article]Multisource classification using Support Vector Machines: an empirical comparison with Decision Tree and Neural Network classifiers / P. Watanachaturaporn in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 2 (February 2008)
[article]
Titre : Multisource classification using Support Vector Machines: an empirical comparison with Decision Tree and Neural Network classifiers Type de document : Article/Communication Auteurs : P. Watanachaturaporn, Auteur ; M. Arora, Auteur ; K. Varshney, Auteur Année de publication : 2008 Article en page(s) : pp 239 - 246 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] classification par arbre de décision
[Termes IGN] classification par réseau neuronal
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] données multisources
[Termes IGN] extraction automatique
[Termes IGN] Himalaya
[Termes IGN] image IRS-LISS
[Termes IGN] Kappa de Cohen
[Termes IGN] modèle numérique de surface
[Termes IGN] occupation du solRésumé : (Auteur) Remote sensing image classification has proven to be attractive for extracting useful thematic information such as landcover. However, often for a given application, spectral information acquired by a remote sensing sensor may not be sufficient to derive accurate information. Incorporation of data from other sources such as a digital elevation model (DEM), and geophysical and geological data may assist in achieving more accurate land-cover classification from remote sensing images. Recently, support vector machines (SVM) have been proposed as an alternative for classification of remote sensing data, and the results are promising. In this paper, we employ the SVM algorithm to perform multisource classification. An IRS–1C LISS III image along with normalized differenced vegetation index (NDVI) image and DEM are used to produce a land-cover classification for a region in the Himalayas. The accuracy of SVM-based multisource classification is compared with several other nonparametric algorithms namely a decision tree classifier, and back propagation and radial basis function neural network classifiers. The well-known kappa coefficient of agreement is used to assess classification accuracy. The differences in the kappa coefficient of classifiers have been statistically evaluated using a pairwise Z-test. The results show a significant increase in the accuracy of the SVM based classifier on incorporation of ancillary data over classification performed solely on the basis of spectral data from remote sensing sensors. Copyright ASPRS Numéro de notice : A2008-048 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.2.239 En ligne : https://doi.org/10.14358/PERS.74.2.239 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29043
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 2 (February 2008) . - pp 239 - 246[article]
Titre : EuroSDR ISPRS project, commission 2 tree extraction: final report Type de document : Rapport Auteurs : Harri Kaartinen, Auteur ; Juha Hyyppä, Auteur ; European Spatial Data Research EuroSDR, Auteur Editeur : Dublin : European Spatial Data Research EuroSDR Année de publication : 2008 Collection : EuroSDR official publication, ISSN 0257-0505 num. 53 Importance : 60 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-90-5179-598-X Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] arbre (flore)
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] étude de faisabilité
[Termes IGN] extraction automatique
[Termes IGN] extraction du sursol
[Termes IGN] extraction semi-automatique
[Termes IGN] forêt
[Termes IGN] hauteur des arbres
[Termes IGN] image aérienne
[Termes IGN] lasergrammétrie
[Termes IGN] qualité des donnéesIndex. décimale : 35.20 Traitement d'image Résumé : (Auteur) The objective of the EuroSDR/ISPRS Tree Extraction project was to evaluate the quality, accuracy, and feasibility of automatic or semi-automatic tree extraction methods based on high-density laser scanner data and digital image data. Data sets from two test sites were delivered to the twelve participants of the project. For each test site the following data were available and could be downloaded from the FGI ftp-site: aerial images, camera calibration and image orientation information, ground control point coordinates and jpg-images of point locations, laser scanner data with three different pulse densities, digital terrain model and a training data set. In this report the test sites used, data sets and the reference data are described. The tree extraction methods used by the participants and methods used in accuracy evaluation are explained in this report. The produced tree models are depicted and analysed with respect to tree location, tree height, crown base height and crown delineation accuracy. Finally, a discussion and conclusions chapter summarise the results of the project. Surprisingly, results show that the extraction method is the main factor on the achieved accuracy. When the laser point density increases from two points to eight points per m2, the improvement in crown base height and crown delineation accuracy is marginal but in the case of some methods the accuracy of the tree location and especially the tree height determination improves. The low number of hybrid models based on both the laser data and aerial image produced by the partners implies that integration of laser and aerial image is in its early stages. Numéro de notice : 15391 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Rapport En ligne : http://www.eurosdr.net/sites/default/files/uploaded_files/eurosdr_publication_nd [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=40674 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15391-01 35.20 Livre Centre de documentation Télédétection Disponible Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data / U. Heiden in Remote sensing of environment, vol 111 n° 4 (28/12/2007)
[article]
Titre : Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data Type de document : Article/Communication Auteurs : U. Heiden, Auteur ; Karl Segl, Auteur ; S. Roessner, Auteur ; H. Kaufmann, Auteur Année de publication : 2007 Article en page(s) : pp 537 - 552 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Allemagne
[Termes IGN] extraction automatique
[Termes IGN] image HYMAP
[Termes IGN] image hyperspectrale
[Termes IGN] matrice de confusion
[Termes IGN] méthode robuste
[Termes IGN] milieu urbain
[Termes IGN] surface du solRésumé : (Auteur) Hyperspectral remote sensing data open up new opportunities for analyzing urban areas characterized by a large variety of spectrally distinct surface materials. Spectroscopic analysis using diagnostic spectral features yields the potential for automated identification and mapping of these materials. This study proposes a new approach for the determination and evaluation of such spectral features that are robust against spectral overlap between material classes and within-class variability. Analysis is based on comprehensive field and image spectral libraries of more than 21,000 spectra of surface materials widely-used in German cities. The robustness of the interactively defined spectral features is evaluated by a separability analysis. This method is performed based on confusion matrices for each material computed from classification results. For comparison this analysis is also performed for material-specific gray values of selected bands. The obtained commission and omission errors show superiority of the spectral features compared to gray values for most of the investigated materials. The results indicate that robust spectral features yield the potential for unsupervised detection of endmembers in hyperspectral image data. Copyright Elsevier Numéro de notice : A2007-521 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.04.008 En ligne : https://doi.org/10.1016/j.rse.2007.04.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28884
in Remote sensing of environment > vol 111 n° 4 (28/12/2007) . - pp 537 - 552[article]An unbiased algorithm for detection of curvilinear structures in urban remote sensing images / Jinzheng Peng in International Journal of Remote Sensing IJRS, vol 28 n°23-24 (December 2007)
[article]
Titre : An unbiased algorithm for detection of curvilinear structures in urban remote sensing images Type de document : Article/Communication Auteurs : Jinzheng Peng, Auteur ; Ya-Qiu Jin, Auteur Année de publication : 2007 Article en page(s) : pp 5377 - 5395 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] algorithme de Gauss
[Termes IGN] courbe
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image aérienne
[Termes IGN] objet géographique linéaireRésumé : (Auteur) Based on the Gaussian scale-space, a Gaussian comparison function is presented for extracting the linearly road features in aerial remote sensing image. Combining the geometric and radiometric features, the curvilinear structures of the roads are extracted based on locally oriented energy in continuous scale-space. Curvilinear features of roads are verified, grouped and extracted by using both topologic and geometric methods. This algorithm is applicable to extracting the road features in different scale such as rural roads or urban highways, and significantly reduces the computation complexity of line tracing. Some discussions on the zero drift of the Gaussian comparison function are also presented. Copyright Taylor & Francis Numéro de notice : A2007-537 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160601075574 En ligne : https://doi.org/10.1080/01431160601075574 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28900
in International Journal of Remote Sensing IJRS > vol 28 n°23-24 (December 2007) . - pp 5377 - 5395[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07131 RAB Revue Centre de documentation En réserve L003 Disponible Designing and implementing software components for an automated mapping system / J.H. Yom in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)PermalinkMeasuring land development in urban regions using graph theoretical and conditional statistical features / C. Unsalan in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)PermalinkDigital surface models from high-resolution satellite imagery / J. Poon in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)Permalinkvol 17 n° 3-4 - septembre 2007 – février 2008 - Informations géographiques : structuration, extraction et utilisation [sélection de contributions du colloque international de géomatique et d'analyse spatiale, Strasbourg, 11-13 septembre 2006] (Bulletin de Revue internationale de géomatique) / Christiane WeberPermalinkA concept for feature based data registration by simultaneous consideration of laser scanner data and photogrammetric images / A. Wendt in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)PermalinkFeature extraction of hyperspectral images using wavelet and matching pursuit / Pai-Hui Hsu in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)PermalinkData fusion of high-resolution satellite imagery and Lidar data for automatic building extraction / Gunho Sohn in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 1 (May 2007)PermalinkGEOIRIS : GEOspatial Information Retrieval and Indexing System-content mining, semantics modeling, and complex queries / C.R. Shyu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 4 (April 2007)PermalinkComparison between several feature extraction/classification methods for mapping complicated agricultural land use patches using airborne hyperspectral data / S. Lu in International Journal of Remote Sensing IJRS, vol 28 n°5-6 (March 2007)PermalinkOpen-source software-operated CMOS camera for real-time mapping / Hervé Gontran in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)PermalinkTerrestrial and submerged aquatic vegetation mapping in Fire Island national seashore using high spatial resolution remote sensing data / Y. Wang in Marine geodesy, vol 30 n° 1-2 (March - June 2007)PermalinkAutomatic extraction of urban vegetation structures from high resolution imagery and digital elevation models / Corina Iovan (2007)PermalinkAutomatic man-made object extraction and 3D scene reconstruction from geomatic-images; Is there still a long way to go? / Nicolas Paparoditis (2007)PermalinkExtraction 3D de marquages routiers à partir d'images aériennes multi-vues et quelques applications / Olivier Tournaire (2007)PermalinkDetermination of exterior orientation using linear features from vector maps / Mika Karjalainen in Photogrammetric record, vol 21 n° 116 (December 2006 - February 2007)PermalinkExtracting 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)PermalinkAutomatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images / Y. Zhang in International Journal of Remote Sensing IJRS, vol 27 n°7-8 (April 2006)PermalinkSegmentation of airborne laser scanning data using a slope adaptative neighbourhood / S. Filin in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)PermalinkRoad extraction based on fuzzy logic and mathematical morphology from pan-sharpened Ikonos images / Ali Mohammadzadeh in Photogrammetric record, vol 21 n° 113 (March - May 2006)PermalinkCouplage de données laser aéroporté et photogrammétriques pour l'analyse de scènes tridimensionnelles / Frédéric Bretar (2006)Permalink