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Comprehensive analysis of sensor modelling alternatives for high-resolution imaging satellites / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 11 (November 2007) . - pp 1241 - 1251 Titre : Comprehensive analysis of sensor modelling alternatives for high-resolution imaging satellites Type de document : Article/Communication Auteurs : A. Habib, Auteur ; S.W. Shin, Auteur ; Kamyoung Kim, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1241 - 1251 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] capteur en peigne [Termes IGN] élément d'orientation externe [Termes IGN] élément d'orientation interne [Termes IGN] géométrie de l'image [Termes IGN] image Ikonos [Termes IGN] modèle par fonctions rationnelles [Termes IGN] orientation du capteur [Termes IGN] point d'appui Résumé : (Auteur) High-resolution imaging satellites are a valuable and cost effective data acquisition tool for a variety of mapping and GIS applications such as topographic mapping, map updating, orthophoto generation, environmental monitoring, and change detection. Sensor modeling that describes the mathematical relationship between corresponding scene and object coordinates is a prerequisite procedure prior to manipulating the acquired imagery from such systems for mapping purposes. Rigorous and approximate sensor models are the two alternatives for describing the mathematics of the involved imaging process. The former explicitly involves the internal and external characteristics of the imaging sensor to faithfully represent the geometry of the scene formation. On the other hand, approximate modeling can be divided into two categories. The first category simplifies the rigorous model after making some assumptions about the system’s trajectory and/or object space. Gupta and Hartley’s model, parallel projection, self-calibrating direct linear transformation, and modified parallel projection are examples of this category. Other approximate models are based on empirical formulation of the scene-to-ground mathematical relationship. This category includes among others, the well-known Rational Function Model (RFM). This paper addresses several aspects of sensor modeling. Namely, it deals with the expected accuracy from rigorous modeling of imaging satellites as it relates to the number of available ground control points, comparative analysis of approximate and rigorous sensor models, robustness of the reconstruction process against biases in the available sensor characteristics, and impact of incorporating multi-source imagery in a single triangulation mechanism. Following a brief theoretical background, these issues will be presented through experimental results from real datasets captured by satellite and aerial imaging platforms. Copyright ASPRS Numéro de notice : A2007-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.11.1241 En ligne : http://dx.doi.org/10.14358/PERS.73.11.1241 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28878 [article]