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Monitoring oil production facilities using radar coherent change detection / D. Holcomb in Geoinformatics, vol 13 n° 5 (01/07/2010)
[article]
Titre : Monitoring oil production facilities using radar coherent change detection Type de document : Article/Communication Auteurs : D. Holcomb, Auteur Année de publication : 2010 Article en page(s) : pp 14 - 16 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] canalisation
[Termes IGN] détection de changement
[Termes IGN] ERDAS Imagine
[Termes IGN] hydrocarbure
[Termes IGN] image radar
[Termes IGN] Moyen-Orient
[Termes IGN] surveillance d'ouvrageRésumé : (Auteur) The use of radar imagery is transitioning from research to operational. An example of this is a pilot project for monitoring oil production areas in the Middle East, using radar coherent change detection. Its tehcnical basis and background are discussed here. The underlying phenomenology and technology of this particular project are applicable to a wide range of infrastructure or vehicle traffic monitoring scenarios. Numéro de notice : A2010-269 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30463
in Geoinformatics > vol 13 n° 5 (01/07/2010) . - pp 14 - 16[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 262-2010051 SL Revue Centre de documentation Revues en salle Disponible A volumetric approach to change in satellite images / T. Pollard in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 7 (July 2010)
[article]
Titre : A volumetric approach to change in satellite images Type de document : Article/Communication Auteurs : T. Pollard, Auteur ; I. Eden, Auteur ; J. Mundy, Auteur ; D. Cooper, Auteur Année de publication : 2010 Article en page(s) : pp 817 - 831 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] apprentissage automatique
[Termes IGN] détection de changement
[Termes IGN] données localisées 3D
[Termes IGN] image satellite
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] pas d'échantillonnage au sol
[Termes IGN] voxel
[Termes IGN] zone urbaine denseRésumé : (Auteur) The increasing availability of very high resolution satellite imagery has spurred interest in automatically detecting very fine detailed changes in an area over time, a particularly useful tool for analyzing activity in dense urban areas. However, attempting automated change detection at this resolution is difficult due to the motion parallax of elevated structures. This paper presents a comprehensive solution to change detection in areas of significant 3D relief using a new framework called volumetric appearance modeling (VAM). This approach can manage the complications of unknown and changing world surfaces by maintaining a 3D voxel-based model, where probability distributions for surface occupancy and image appearance are stored in each voxel. These distributions are continuously updated as new images are received using an adaptive learning procedure. This representation is demonstrated to produce accurate change detection results under conditions of variable illumination and viewpoint as well as haze conditions present in satellite imagery. The volumetric representation also supports automatic sensor model correction to align incoming imagery to a common geographic reference. This registration approach is demonstrated to achieve geo-positioning accuracy on the order of the ground sampling distance (GSD) or better. Numéro de notice : A2010-274 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.7.817 En ligne : https://doi.org/10.14358/PERS.76.7.817 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30468
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 7 (July 2010) . - pp 817 - 831[article]Detection of roadway sign condition changes using multi-scale sign image matching (M-SIM) / Y.J. Tsai in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 4 (April 2010)
[article]
Titre : Detection of roadway sign condition changes using multi-scale sign image matching (M-SIM) Type de document : Article/Communication Auteurs : Y.J. Tsai, Auteur ; Z. Hu, Auteur ; C. Alberti, Auteur Année de publication : 2010 Article en page(s) : pp 391 - 405 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] appariement d'images
[Termes IGN] classification
[Termes IGN] détection de changement
[Termes IGN] données multiéchelles
[Termes IGN] image vidéo
[Termes IGN] Louisiane (Etats-Unis)
[Termes IGN] positionnement par GPS
[Termes IGN] réseau routier
[Termes IGN] signalisation routièreRésumé : (Auteur) Roadway signs are important for safety, and transportation agencies need to identify sign condition changes to perform timely maintenance, including replacement. Currently, sign condition changes are inspected manually in the field, which is time consuming, costly, and some--times dangerous. This paper first proposes a novel algorithm to detect three condition changes: missing, tilted, and blocked signs, using GPS data and video log images. The algorithm consists of three steps: (a) Multi-Scale Sign Image Matching (m-sim), (b) Image feature analysis, and (c) Sign condition change detection and classification. The algorithm was tested using images with simulated sign condition changes and actual video images taken in Fiscal Year (fy) 2003 and 2005 by the Louisiana Department of Transportation and Development (ladotd). The tests demonstrate the algorithm is effective to detect three types of sign condition changes. Out of 34,000 actual video log images, the algorithm detected and classified 100 percent of the missing signs, 72.7 percent of the tilted signs, and 66.7 percent of the blocked signs, for an overall 74.3 percent detection rate. These results show that the algorithm is useful for developing an intelligent roadway sign condition change detection system. Copyright ASPRS Numéro de notice : A2010-120 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.4.391 En ligne : https://doi.org/10.14358/PERS.76.4.391 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30316
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 4 (April 2010) . - pp 391 - 405[article]Land use and land cover change detection using satellite remote sensing techniques in the mountainous Three Gorges Area, China / Z. Chen in International Journal of Remote Sensing IJRS, vol 31 n° 6 (March 2010)
[article]
Titre : Land use and land cover change detection using satellite remote sensing techniques in the mountainous Three Gorges Area, China Type de document : Article/Communication Auteurs : Z. Chen, Auteur ; Jing Wang, Auteur Année de publication : 2010 Article en page(s) : pp 1519 - 1542 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] détection de changement
[Termes IGN] image multitemporelle
[Termes IGN] image optique
[Termes IGN] image satellite
[Termes IGN] impact sur l'environnement
[Termes IGN] occupation du sol
[Termes IGN] traitement d'image
[Termes IGN] Trois Gorges, barrage des
[Termes IGN] utilisation du solRésumé : (Auteur) The Three Gorges Area (TGA), along the Yangtze River, China has been experiencing drastic land use and land cover (LU/LC) changes since the commencement of the construction of the Three Gorges Dam in 1994. These changes may have environmental impacts. However, information about the changes is limited and difficult to obtain. In this paper, optical satellite imagery is used to detect LU/LC changes during the study period 1987-2006 for the complicated, high-relief environment. A case study was conducted in Zigui County of Hubei Province within the TGA. A site-specific procedure using a decision rule-based classification method and a post classification change detection technique is developed to combine spectral and spatial knowledge in the classification of multi-temporal images. Using the decision rule-based classification method, overall accuracies of LU/LC maps of seven classes between 73.4% and 89.5% were obtained, increased by 4-5% over that using the traditional method. The results show that the main trend in LU/LC change in the study area throughout the monitoring period was a steady reduction in natural vegetation areas. About 32% of the total area of natural vegetation, including forest, shrub and grass, was lost to built up areas, crop fields and orchards. Numéro de notice : A2010-254 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903475381 En ligne : https://doi.org/10.1080/01431160903475381 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30448
in International Journal of Remote Sensing IJRS > vol 31 n° 6 (March 2010) . - pp 1519 - 1542[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-2010041 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Sampling approaches for one-pass land-use/land-cover change mapping / Zhi Huang in International Journal of Remote Sensing IJRS, vol 31 n° 6 (March 2010)
[article]
Titre : Sampling approaches for one-pass land-use/land-cover change mapping Type de document : Article/Communication Auteurs : Zhi Huang, Auteur ; Xiuping Jia, Auteur ; Linlin Ge, Auteur Année de publication : 2010 Article en page(s) : pp 1543 - 1554 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte d'occupation du sol
[Termes IGN] détection de changement
[Termes IGN] données multitemporelles
[Termes IGN] échantillonnage d'image
[Termes IGN] occupation du sol
[Termes IGN] superposition d'images
[Termes IGN] traitement d'image
[Termes IGN] utilisation du solRésumé : (Auteur) In land-use/land-cover change (LULCC) mapping, training fields for changed classes are often difficult to identify. In this study, a new sampling strategy is proposed for mapping LULCCs, in which change and no-change samples are obtained directly from overlaid bi-temporal images with a small shift or rotation. In this way, the artificial changes created maintain a certain degree of geographic information. This method is compared with a simulated sampling approach in which training samples of each land-use/land-cover type are selected separately from individual images and then cross-combined to form the 'from-to' classes. The case study demonstrates that both sampling strategies ease the difficulties in performing one-pass classification for LULCC detection and yield more accurate LULCC maps than that of the traditional two-step post-classification comparison method. Between the two sampling strategies, the proposed one provides higher testing accuracy than the simulated sampling approach, while the latter is easier to implement. Numéro de notice : A2010-255 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903475399 En ligne : https://doi.org/10.1080/01431160903475399 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30449
in International Journal of Remote Sensing IJRS > vol 31 n° 6 (March 2010) . - pp 1543 - 1554[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-2010041 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Land-cover change detection using one-class support vector machine / P. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 3 (March 2010)PermalinkAutomated image-to-map discrepancy detection using iterative trimming / J. Radoux in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 2 (February 2010)PermalinkAutomatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge / M. Bouziani in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 1 (January - February 2010)PermalinkChange detection in submetric optical images using land cover classification tools / Arnaud Le Bris (2010)PermalinkColors of the past: color image segmentation in historical topographic maps based on homogeneity / S. Leyk in Geoinformatica, vol 14 n° 1 (January 2010)PermalinkDetermining changes and flows in European landscapes 1990 - 2000 using CORINE land cover data / Jan Feranec in Applied Geography, vol 30 n° 1 (January 2010)PermalinkIntegration of geographic information systems and remote sensing / Jeffrey L. Star (2010)PermalinkDetection of unregistered buildings for updating 2D databases / Nicolas Champion (01/12/2009)PermalinkA matching algorithm for detecting land use changes using case-based reasoning / X. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 11 (November 2009)Permalinkvol 30 n° 20 - October 2009 - Accuracy 2008, [actes], spatial accuracy in remote sensing, Shangai, 25 - 27 June 2008 (Bulletin de International Journal of Remote Sensing IJRS) / Jingxiong ZhangPermalink