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A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy / Yan Zhou in Transactions in GIS, Vol 23 n° 5 (October 2019)  

Public [article]  inTransactions in GIS > Vol 23 n° 5 (October 2019) . - pp 1125 - 1151 Titre : A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy Type de document : Article/Communication Auteurs : Yan Zhou, Auteur ; Yanxi Li, Auteur ; Qing Zhu, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 1125 - 1151 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de groupement [Termes IGN] analyse spatio-temporelle [Termes IGN] bicyclette [Termes IGN] données météorologiques [Termes IGN] gestion prévisionnelle [Termes IGN] New York (Etats-Unis ; ville) [Termes IGN] regroupement de données [Termes IGN] SOLAP [Termes IGN] trafic routier [Termes IGN] Washington D.C. Résumé : (auteur) Bike‐sharing systems have been widely used in major cities across the world. As bike borrowing and return at different stations in different periods are not balanced, the bikes in a bike‐sharing system need to be redistributed frequently to rebalance the system. Therefore, traffic flow forecasting of the bike‐sharing system is an important issue, as this is conducive to achieving rebalancing of the bike system. In this article, we present a new traffic flow prediction approach based on the temporal links in dynamic traffic flow networks. A station clustering algorithm is first introduced to cluster stations into groups. A temporal link prediction method based on the dynamic traffic flow network method (STW+M) is then proposed to predict the traffic flow between stations. In our method, the non‐negative tensor decomposition and time‐series analysis model capture the rich information (temporal variabilities, spatial characteristics, and weather information) of the across‐clusters transition. Then, a temporal link prediction strategy is used to forecast potential links and weights in the traffic flow network by investigating both the network structure and the results of tensor computations. In order to assess the methods proposed in this article, we have used the data of bike‐sharing systems in New York and Washington, DC to conduct bike traffic prediction and the experimental results have shown that our method produces the lowest root mean square error (RMSE) and mean square error (MSE). Compared to four prediction methods from the literature, our RMSE and MSE of the two datasets have been lowered by an average of 2.55 (Washington, DC) and 2.41 (New York) and 3.35 (Washington, DC) and 2.96 (New York), respectively. The results show that the proposed approach improves predictions of traffic flow. Numéro de notice : A2019-551 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12560 Date de publication en ligne : 03/07/2019 En ligne : https://doi.org/10.1111/tgis.12560 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94201 [article]

Urban land-cover change analysis in central Puget Sound / M. Alberti in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 9 (September 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 9 (September 2004) . - pp 1043 - 1052 Titre : Urban land-cover change analysis in central Puget Sound Type de document : Article/Communication Auteurs : M. Alberti, Auteur ; R. Weeks, Auteur ; S. Coe, Auteur Année de publication : 2004 Article en page(s) : pp 1043 - 1052 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse des mélanges spectraux [Termes IGN] analyse diachronique [Termes IGN] classification dirigée [Termes IGN] croissance urbaine [Termes IGN] détection de changement [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] occupation du sol [Termes IGN] Washington D.C. Résumé : (Auteur) A methodology was developed to interpret and assess land cover change between 1991 and 1999 in Central Puget Sound, Washington at several scales (landscape, sub-basins, and 90 m grid window) relevant to regional and local decision makers. Land cover data are derived from USGS Landsat (Thematic Mapper and Enhanced Thematic Mapper +) images of Central Puget Sound. Landsat data were registered, intercalibrated, and corrected for atmosphere and topography to ensure accuracy of land cover change assessment. We apply a hybrid classification method to each image to address the spectral heterogeneity of urbanizing regions. The method combines a supervised classification approach with a spectral unmixing approach to produce seven classes: > 75 percent impervious, 15 to 75 percent impervious, forest, grass, clear cut, bare soil, and water. Land cover change is identified using the direct spatial comparison of classified images derived independentlyfor each time period. We assess that the overall accuracy of each classified image was 91 Percent for 1991 and 88 percent for 1999 respectively, which produces an accuracy of 85 percent for the change analysis. Our results show that urban growth over the last decade has produced an overall 6.7 percent increase in paved area. Numéro de notice : A2004-346 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.9.1043 En ligne : https://doi.org/10.14358/PERS.70.9.1043 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26873 [article]

Extraction of topography from side-looking satellite systems : a case study with Spot simulation data / S.G. Ungar in Remote sensing of environment, vol 26 n° 1 (01/10/1988)  

Public [article]  inRemote sensing of environment > vol 26 n° 1 (01/10/1988) . - pp 51 - 73 Titre : Extraction of topography from side-looking satellite systems : a case study with Spot simulation data Type de document : Article/Communication Auteurs : S.G. Ungar, Auteur ; C.J. Merry, Auteur ; R. Irish, Auteur ; H.L. Mckim, Auteur ; M.S. Miller, Auteur Année de publication : 1988 Article en page(s) : pp 51 - 73 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] convolution (signal) [Termes IGN] détail topographique [Termes IGN] HRV (capteur) [Termes IGN] interpolation [Termes IGN] modèle numérique de terrain [Termes IGN] radar à visée latérale [Termes IGN] simulation d'image [Termes IGN] simulation SPOT [Termes IGN] système spatial [Termes IGN] Washington D.C. Numéro de notice : A1988-369 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/0034-4257(88)90119-8 En ligne : https://doi.org/10.1016/0034-4257(88)90119-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24948 [article]

Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery / Y.J. Kaufman in International Journal of Remote Sensing IJRS, vol 9 n° 8 (August 1988)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 9 n° 8 (August 1988) . - pp 1357 - 1381 Titre : Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery Type de document : Article/Communication Auteurs : Y.J. Kaufman, Auteur ; C. Sendra, Auteur Année de publication : 1988 Article en page(s) : pp 1357 - 1381 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] bande visible [Termes IGN] correction atmosphérique [Termes IGN] image NOAA-AVHRR [Termes IGN] image TIROS-AVHRR [Termes IGN] rayonnement proche infrarouge [Termes IGN] Washington D.C. Numéro de notice : A1988-263 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431168808954942 En ligne : https://doi.org/10.1080/01431168808954942 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24842 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-88081	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Use of topographic and climatological models in a geographical data base to improve Landsat MSS classification for olympic national park / W.G. Cibula in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 1 (january 1987)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 53 n° 1 (january 1987) . - pp 67 - 75 Titre : Use of topographic and climatological models in a geographical data base to improve Landsat MSS classification for olympic national park Type de document : Article/Communication Auteurs : W.G. Cibula, Auteur ; M.O. Nyquist, Auteur Année de publication : 1987 Article en page(s) : pp 67 - 75 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] base de données localisées [Termes IGN] classification non dirigée [Termes IGN] flore locale [Termes IGN] image Landsat-MSS [Termes IGN] occupation du sol [Termes IGN] parc naturel [Termes IGN] précision [Termes IGN] système d'information géographique [Termes IGN] Washington D.C. Numéro de notice : A1987-239 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/1987journal/jan/1987_jan_67-75.pdf Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24329 [article]

Satellite image mapping : achievements and prospects / S. Chavez in Bulletin du comité français de cartographie, n° 109-110 (septembre - novembre 1986)

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