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Automatic extraction of road networks from GPS traces / Jia Qiu in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 8 (August 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 8 (August 2016) . - pp 593 - 604 Titre : Automatic extraction of road networks from GPS traces Type de document : Article/Communication Auteurs : Jia Qiu, Auteur ; Ruisheng Wang, Auteur Année de publication : 2016 Article en page(s) : pp 593 - 604 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] analyse de groupement [Termes IGN] appariement de points [Termes IGN] compensation par moindres carrés [Termes IGN] données GPS [Termes IGN] extraction automatique [Termes IGN] extraction de données [Termes IGN] modèle de Markov [Termes IGN] relation topologique [Termes IGN] réseau routier [Termes IGN] segmentation Résumé : (auteur) We propose a point segmentation and grouping method to generate road maps from GPS traces. First, we present a progressive point cloud segmentation algorithm based on Total Least Squares (TLS) line fitting. Second, we group topologically connected point clusters by the point's orientation and cluster's spatial proximity, where the topological relationship is generated using Hidden Markov Model (HMM) map matching. Finally, we refine the intersections of roads so that their geometrical and topological relationships are consistent with each other. Experimental results show that our algorithm is robust to noises and the generated road network has a high accuracy in terms of geometry and topology. Compare to the representative algorithms; the results of our new algorithm have a higher F-measure score for different matching thresholds. Numéro de notice : A2016-606 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/MATHEMATIQUE/POSITIONNEMENT Nature : Article DOI : 10.14358/PERS.82.8.593 En ligne : http://dx.doi.org/10.14358/PERS.82.8.593 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81796 [article]

Basal area and diameter distribution estimation using stereoscopic hemispherical images / Mariola Sánchez-González in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 8 (August 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 8 (August 2016) . - pp 605 - 616 Titre : Basal area and diameter distribution estimation using stereoscopic hemispherical images Type de document : Article/Communication Auteurs : Mariola Sánchez-González, Auteur ; Miguel Cabrera, Auteur ; Pedro Javier Herrera, Auteur Année de publication : 2016 Article en page(s) : pp 605 - 616 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] appariement d'images [Termes IGN] courbe de Pearson [Termes IGN] diamètre des arbres [Termes IGN] image hémisphérique [Termes IGN] inventaire forestier étranger (données) [Termes IGN] modèle stéréoscopique [Termes IGN] placette d'échantillonnage [Termes IGN] surface terrière [Termes IGN] tronc [Vedettes matières IGN] Inventaire forestier Résumé : (auteur) In recent years, proximal sensing data has increasingly been used to optimize forest inventories. In this paper, we present a forest inventory methodology based on stereoscopic hemispherical images. An automated pixel-based approach and a user-guided “region growing” approach have been developed for image matching. To estimate the basal area, number of trees and mean diameter, the sampling probability is determined for each tree. The accuracy and precision of the estimates derived from stereoscopic hemispherical images was analyzed for a set of National Forest Inventory plots. The results revealed that tree matching depends on the species, the distance to the target tree and the diameter. The Pearson correlation coefficient was 0.86 for the mean diameter and 0.89 for the basal area, whereas for the number of trees per hectare it was 0.59. The proposed methods may be used in large scale forest inventories as a cost-efficient way of obtaining data on diameter distribution and basal area from field surveys following a two-stage scheme combined with remote sensing techniques. Numéro de notice : A2016-607 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.82.8.605 En ligne : http://dx.doi.org/10.14358/PERS.82.8.605 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81805 [article]

Quantitative estimation and validation of the effects of the convergence, bisector elevation, and asymmetry angles on the positioning accuracies of satellite stereo pairs / Jaehoon Jeong in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 8 (August 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 8 (August 2016) . - pp 625 - 633 Titre : Quantitative estimation and validation of the effects of the convergence, bisector elevation, and asymmetry angles on the positioning accuracies of satellite stereo pairs Type de document : Article/Communication Auteurs : Jaehoon Jeong, Auteur ; Taejung Kim, Auteur Année de publication : 2016 Article en page(s) : pp 625 - 633 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] couple stéréoscopique [Termes IGN] image satellite [Termes IGN] modèle stéréoscopique [Termes IGN] précision du positionnement Résumé : (auteur) The convergence, bisector elevation (BIE), and asymmetry angles are three angles that describe the geometric conditions in stereo imaging. In this study, the effects of the angles on the positioning accuracies of stereo pairs were investigated. First, through careful observation of the stereo geometry that determines the ray-intersection in object space, the effects of the angles were visualized and quantified. Second, formulas to estimate the positioning errors, including these quantified effects, were proposed. Third, the formulas were validated using real satellite data. Our experiment results confirmed the accuracy variations due to the angles, both visually and quantitatively, and that all angles may significantly affect both the horizontal and vertical accuracies, particularly for dual-satellite stereo with weak geometry. The primary contributions of this paper are the provision of theoretical background of the effects of the angles and experimental confirmations of the quantitative effects of them on the stereo positioning accuracies. Numéro de notice : A2016-608 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.8.625 En ligne : http://dx.doi.org/10.14358/PERS.82.8.625 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81808 [article]

Cropland extraction based on OBIA and adaptive scale pre-estimation / Ming Dongping in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 8 (August 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 8 (August 2016) . - pp 635 - 644 Titre : Cropland extraction based on OBIA and adaptive scale pre-estimation Type de document : Article/Communication Auteurs : Ming Dongping, Auteur ; Xiang Zhang, Auteur ; Min Wang, Auteur ; Wen Zhou, Auteur Année de publication : 2016 Article en page(s) : pp 635 - 644 Langues : Anglais (eng) Numéro de notice : A2016-609 Affiliation des auteurs : non IGN Nature : Article DOI : 10.14358/PERS.82.8.635 En ligne : http://dx.doi.org/10.14358/PERS.82.8.635 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81809 [article]