Détail de l'auteur
Auteur Nian Hui |
Documents disponibles écrits par cet auteur (1)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
![Tris disponibles](./images/orderby_az.gif)
A robust mosaicking procedure for high spatial resolution remote sensing images / Xinghua Li in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
![]()
[article]
Titre : A robust mosaicking procedure for high spatial resolution remote sensing images Type de document : Article/Communication Auteurs : Xinghua Li, Auteur ; Nian Hui, Auteur ; Huanfeng Shen, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 108 - 125 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] ajustement de paramètres
[Termes IGN] ligne (géométrie)
[Termes IGN] méthode robuste
[Termes IGN] milieu urbain
[Termes IGN] mosaïquage d'images
[Termes IGN] orthophotoplan numériqueRésumé : (auteur) With the rapid development of sensor manufacturing technology, high spatial resolution (HR) images are becoming more easily acquired and more widely used. However, it is common that a region of interest (ROI) cannot be completely acquired from a single image. Image mosaicking can resolve the problem by creating a new large-area image from multiple images with overlapping areas. A typical mosaicking procedure for HR remote sensing images includes three successive steps: tonal adjustment, seamline detection, and image blending. In this paper, we propose a robust mosaicking procedure featuring novel ideas in all three steps, which is aimed at processing HR remote sensing images of urban areas. Firstly, the tonal adjustment is realized by a local moment matching (LMM) algorithm, which solves the nonlinear photometric correlation problem between adjacent images. Secondly, an automatic piecewise dynamic program (APDP) algorithm for seamline detection is proposed to detect the optimal seamline on the overlapped area. Last but not least, we propose a cosine distance weighted blending (CDWB) method to ensure that the seamline is as invisible as possible. Compared to the state-of-the-art methods, the proposed method was proved to be effective in experiments with high resolution aerial and satellite images. Numéro de notice : A2015-860 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.09.009 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2015.09.009 Format de la ressource électronique : URL aticle Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79241
in ISPRS Journal of photogrammetry and remote sensing > vol 109 (November 2015) . - pp 108 - 125[article]