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Toward optimum fusion of thermal hyperspectral and visible images in classification of urban area / Farhad Samadzadegan in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 4 (April 2017)
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Titre : Toward optimum fusion of thermal hyperspectral and visible images in classification of urban area Type de document : Article/Communication Auteurs : Farhad Samadzadegan, Auteur ; Hadiseh Hasani, Auteur ; Peter Reinartz, Auteur Année de publication : 2017 Article en page(s) : pp 269 - 280 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bande visible
[Termes IGN] bati
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] fusion d'images
[Termes IGN] géostatistique
[Termes IGN] image hyperspectrale
[Termes IGN] image thermique
[Termes IGN] indice de végétation
[Termes IGN] morphologie
[Termes IGN] optimisation (mathématiques)
[Termes IGN] réseau routier
[Termes IGN] zone urbaineRésumé : (Auteur) Recently, classification of urban area based on multi-sensor fusion has been widely investigated. In this paper, the potential of using visible (VIS) and thermal infrared (TIR) hyperspectral images fusion for classification of urban area is evaluated. For this purpose, comprehensive spatial-spectral feature space is generated which includes vegetation index, differential morphological profile (DMP), attribute profile (AP), texture, geostatistical features, structural feature set (SFS) and local statistical descriptors from both datasets in addition to original datasets. Although Support Vector Machine (SVM) is an appropriate tool in the classification of high dimensional feature space, its performance is significantly affected by its parameters and feature space. Cuckoo search (CS) optimization algorithm with mixed binary-continuous coding is proposed for feature selection and SVM parameter determination simultaneously. Moreover, the significance of each selected feature category in the classification of a specific object is verified. Accuracy assessment on two subsets shows that stacking of VIS and TIR bands can improve the classification performance to 87 percent and 82 percent for two subsets, compare to VIS image (72 percent and 80 percent) and TIR image (50 percent and 56 percent). However, the optimum results obtained based on the proposed method which gains 94 percent and 92 percent. Furthermore, results show that using TIR beside VIS image improves classification accuracy of roads and buildings in urban area. Numéro de notice : A2017-111 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.4.269 En ligne : https://doi.org/10.14358/PERS.83.4.269 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84589
in Photogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 4 (April 2017) . - pp 269 - 280[article]Evaluation of quad-constellation GNSS precise point positioning in Egypt / Emad El Manaily in Artificial satellites, vol 52 n° 1 (March 2017)
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Titre : Evaluation of quad-constellation GNSS precise point positioning in Egypt Type de document : Article/Communication Auteurs : Emad El Manaily, Auteur ; Mahmoud Abd Rabbou, Auteur ; Adel El-Shazly, Auteur ; Moustafa Baraka, Auteur Année de publication : 2017 Article en page(s) : pp 9 - Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] Alexandrie
[Termes IGN] Assouan
[Termes IGN] Le Caire
[Termes IGN] positionnement par BeiDou
[Termes IGN] positionnement par Galileo
[Termes IGN] positionnement par GNSS
[Termes IGN] positionnement ponctuel précis
[Termes IGN] zone urbaineRésumé : (auteur) Commonly, relative GPS positioning technique is used in Egypt for precise positioning applications. However, the requirement of a reference station is usually problematic for some applications as it limits the operational range of the system and increases the system cost and complexity. On the other hand, the single point positioning is traditionally used for low accuracy applications such as land vehicle navigation with positioning accuracy up to 10 meters in some scenarios which caused navigation problems especially in downtown areas. Recently, high positioning accuracy can be obtained through Precise Point Positioning (PPP) technique in which only once GNSS receiver is used. However, the major drawback of PPP is the long convergence time to reach to the surveying grade accuracy compared to the existing relative techniques. Moreover, the PPP accuracy is significantly degraded due to shortage in satellite availability in urban areas. To overcome these limitations, the quad constellation GNSS systems namely GPS, GLONASS, Galileo and BeiDou can be combined to increase the satellite availability and enhance the satellite geometry which in turn reduces the convergence time. In Egypt, at the moment, the signals of both Galileo and BeiDou could be logged with limited number of satellites up to four and six satellites for both Systems respectively. In this paper, we investigated the performance of the Quad-GNSS positioning in both dual- and single-frequency ionosphere free PPP modes for both high accurate and low cost navigation application, respectively. The performance of the developed PPP models will be investigated through GNSS data sets collected at three Egyptian cities namely, Cairo, Alexandria and Aswan. Numéro de notice : A2017-268 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1515/arsa-2017-0002 En ligne : https://doi.org/10.1515/arsa-2017-0002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85292
in Artificial satellites > vol 52 n° 1 (March 2017) . - pp 9 -[article]Adaptive time-variant adjustment for the positioning errors of a mobile mapping platform in GNSS-hostile areas / Jiawei Han in Survey review, vol 49 n° 352 (March 2017)
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Titre : Adaptive time-variant adjustment for the positioning errors of a mobile mapping platform in GNSS-hostile areas Type de document : Article/Communication Auteurs : Jiawei Han, Auteur ; C.P. Lo, Auteur Année de publication : 2017 Article en page(s) : pp 9 - 14 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] couplage GNSS-INS
[Termes IGN] erreur de positionnement
[Termes IGN] GNSS assisté pour la navigation
[Termes IGN] occultation du signal
[Termes IGN] positionnement par GNSS
[Termes IGN] système de numérisation mobile
[Termes IGN] zone urbaine denseRésumé : (Auteur) A mobile mapping system (MMS) utilizes global navigation satellite system (GNSS) and inertial navigation system (INS) techniques and thus makes possible a direct geo-referencing solution everywhere along its surveyed path. It is capable of acquiring a vast amount of spatial information in an efficient manner and is adopted in a wide variety of applications. However, when the GNSS signal is obstructed, its positioning solution can only rely on the INS observables, which acquire significant and cumulative errors over time. In this study, an adaptive time-variant adjustment model is proposed to compensate for the MMS positioning error in a GNSS-hostile area using ground calibration points. Based on the results from a case study, it illustrates that the positioning error of a mobile mapping platform in an urban area for a long time could reach a level of several metres because of GNSS signal obstructions. However, this error can be properly modelled and significantly reduced to a centimetre-level when the proposed approach is applied. Consequently, both the efficiency and reliability of the MMS applications in a GNSS hostile environment can be further guaranteed. Numéro de notice : A2017-057 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1080/00396265.2015.1104091 En ligne : https://doi.org/10.1080/00396265.2015.1104091 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84265
in Survey review > vol 49 n° 352 (March 2017) . - pp 9 - 14[article]Attribute profiles on derived features for urban land cover classification / Bharath Bhushan Damodaran in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 3 (March 2017)
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Titre : Attribute profiles on derived features for urban land cover classification Type de document : Article/Communication Auteurs : Bharath Bhushan Damodaran, Auteur ; Joachim Höhle, Auteur ; Sébastien Lefèvre, Auteur Année de publication : 2017 Article en page(s) : pp 183 - 193 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] attribut
[Termes IGN] classification dirigée
[Termes IGN] données auxiliaires
[Termes IGN] hauteur ellipsoïdale
[Termes IGN] image aérienne
[Termes IGN] image multibande
[Termes IGN] indice de végétation
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] zone urbaineRésumé : (Auteur) This research deals with the automatic generation of 2D land cover maps of urban areas using very high resolution multispectral aerial imagery. The appropriate selection of classifier and attributes is important to achieve high thematic accuracies. In this paper, new attributes are generated to increase the discriminative power of auxiliary information provided by remote sensing images. The generated attributes are derived from the vegetation index and elevation information using morphological attribute profiles. The extended experimental evaluation and comparison of attribute profile-based mapping solutions is conducted to derive the optimal combinations of attributes required for classification and to understand the genericity of attributes on a range of classifiers, i.e., various combinations of attributes and classifiers. Experimental results with two high resolution images show that the proposed attributes derived on auxiliary information outperform the existing attribute profiles computed on original image and its principal components. Numéro de notice : A2017-087 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.3.183 En ligne : https://doi.org/10.14358/PERS.83.3.183 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84422
in Photogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 3 (March 2017) . - pp 183 - 193[article]A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas / Martin Weinmann in Remote sensing, vol 9 n° 3 (March 2017)
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Titre : A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas Type de document : Article/Communication Auteurs : Martin Weinmann, Auteur ; Michael Weinmann, Auteur ; Clément Mallet , Auteur ; Mathieu Brédif
, Auteur
Année de publication : 2017 Projets : IQmulus / Métral, Claudine Article en page(s) : pp 277 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme de décalage moyen
[Termes IGN] arbre (flore)
[Termes IGN] classification
[Termes IGN] Delft (Pays-Bas)
[Termes IGN] détection d'objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] voxel
[Termes IGN] zone urbaineRésumé : (auteur) In this paper, we present a novel framework for detecting individual trees in densely sampled 3D point cloud data acquired in urban areas. Given a 3D point cloud, the objective is to assign point-wise labels that are both class-aware and instance-aware, a task that is known as instance-level segmentation. To achieve this, our framework addresses two successive steps. The first step of our framework is given by the use of geometric features for a binary point-wise semantic classification with the objective of assigning semantic class labels to irregularly distributed 3D points, whereby the labels are defined as “tree points” and “other points”. The second step of our framework is given by a semantic segmentation with the objective of separating individual trees within the “tree points”. This is achieved by applying an efficient adaptation of the mean shift algorithm and a subsequent segment-based shape analysis relying on semantic rules to only retain plausible tree segments. We demonstrate the performance of our framework on a publicly available benchmark dataset, which has been acquired with a mobile mapping system in the city of Delft in the Netherlands. This dataset contains 10.13 M labeled 3D points among which 17.6 % are labeled as “tree points”. The derived results clearly reveal a semantic classification of high accuracy (up to 90.77 %) and an instance-level segmentation of high plausibility, while the simplicity, applicability and efficiency of the involved methods even allow applying the complete framework on a standard laptop computer with a reasonable processing time (less than 2.5 h) Numéro de notice : A2017-140 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/rs9030277 Date de publication en ligne : 16/03/2017 En ligne : http://doi.org/10.3390/rs9030277 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84614
in Remote sensing > vol 9 n° 3 (March 2017) . - pp 277[article]Engaging indigenous people as geo-crowdsourcing sensors for ecotourism mapping via mobile data collection: a case study of the Royal Belum State Park / Nurul Hawani Idris in Cartography and Geographic Information Science, Vol 44 n° 2 (March 2017)
PermalinkGeodetic monitoring of subrosion-induced subsidence processes in urban areas / Tobias Kersten in Journal of applied geodesy, vol 11 n° 1 (March 2017)
PermalinkPermalinkIndustrialisation des processus d'extraction d'objets à partir de données photogrammétriques par drones / Jérémie Brossard in XYZ, n° 150 (mars - mai 2017)
PermalinkPermalinkA spatial zoning approach to calibrate and validate urban growth models / Ali Kazemzadeh-Zow in International journal of geographical information science IJGIS, vol 31 n° 3-4 (March-April 2017)
PermalinkDes continuités écologiques d’importance nationale aux trames vertes et bleues régionales : quelles méthodes de prise en compte ? / Romain Sordello in Sciences, eaux & territoires, article hors-série n° 33 (2017)
Permalinkn° 11 - février 2017 - Chiffres clés du transport - Édition 2017 (Bulletin de Datalab) / CGDD Commissariat Général au Développement Durable
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PermalinkOn the fusion of lidar and aerial color imagery to detect urban vegetation and buildings / Madhurima Bandyopadhyay in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 2 (February 2017)
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