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Auteur Y. Wan |
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Aerial image mosaicking with aid of vector roads / D. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)
[article]
Titre : Aerial image mosaicking with aid of vector roads Type de document : Article/Communication Auteurs : D. Wang, Auteur ; Y. Wan, Auteur ; J. Xiao, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1141 - 1150 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement de réseaux
[Termes IGN] chemin le moins coûteux, algorithme du
[Termes IGN] données vectorielles
[Termes IGN] image aérienne
[Termes IGN] mosaïquage d'images
[Termes IGN] réseau routier
[Termes IGN] squelettisationRésumé : (Auteur) This paper proposes a novel approach for using vector roads to aid in the generation of seamline networks for aerial image mosaicking. A representative seamline is extracted as follows. First, the straight skeleton of the overlapping area of adjacent images is extracted. Second, vector roads in the overlapping regions are overlaid with the extracted skeleton to build a weighted graph G (V, E). Dijkstra's algorithm is applied to find the lowest-cost path that connects two intersections of the polygons of two adjacent images. The lowest-cost path is considered as a seamline candidate. Finally, the seamline candidate is refined by considering its surrounding pixels. The refined seamline is employed as the final seamline. The resultant seamlines commonly follow the centerlines of roads as much as possible, and the mosaic image appears more seamless. Moreover, the vector-based approach is typically more efficient than the existing raster-based approaches: the vector-based approach is nearly ten times faster than a raster-based representative. Numéro de notice : A2012-582 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1141 En ligne : https://doi.org/10.14358/PERS.78.11.1141 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32028
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 11 (November 2012) . - pp 1141 - 1150[article]Mapping coal fires based on OMIS1 thermal infrared band image / Y. Wan in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)
[article]
Titre : Mapping coal fires based on OMIS1 thermal infrared band image Type de document : Article/Communication Auteurs : Y. Wan, Auteur ; W. Deng, Auteur ; Y. Yan, Auteur Année de publication : 2004 Article en page(s) : pp 593 - 602 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Chine
[Termes IGN] image hyperspectrale
[Termes IGN] image thermique
[Termes IGN] incendie
[Termes IGN] réalité de terrain
[Termes IGN] température de surfaceRésumé : (Auteur) OMIS1 (Operative Modular Imaging Spectrometer) is a new imaging spectrometer designed by Shanghai Institute of Technical Physics, and has eight thermal infrared bands (nos. 105112). This paper presents the use of images obtained from these thermal infrared bands to detect and map coal fires in northwestern China. According to experiments in the Rujigou area of Ningxia municipality, each thermal infrared band has high correlation (>0.939). Regression analysis of land surface temperature (LST) with the pixel value in each thermal infrared band indicates: (1) for images acquired at daytime (from 11:00 to 13:00 local time), the first four thermal infrared bands have a linear relationship, and the final four bands have an exponential relationship; (2) for images acquired in the early morning (from 06:00 to 07:30), each band has a linear relationship. In conclusion, the ground temperature map is based on the 107th band of morning time. The mapping error is greatly determined by the quantity and precision of ground data measured synchronously. Numéro de notice : A2004-064 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150112 En ligne : https://doi.org/10.1080/0143116031000150112 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26592
in International Journal of Remote Sensing IJRS > vol 25 n° 3 (February 2004) . - pp 593 - 602[article]Exemplaires(1)
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