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Evaluation of the RPC model as a replacement for the spaceborne InSAR phase equation / G. Zhang in Photogrammetric record, vol 26 n° 135 (September - November 2011)  

Public [article]  inPhotogrammetric record > vol 26 n° 135 (September - November 2011) . - pp 325 - 338 Titre : Evaluation of the RPC model as a replacement for the spaceborne InSAR phase equation Type de document : Article/Communication Auteurs : G. Zhang, Auteur ; W. Fei, Auteur ; Z. Li, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 325 - 338 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] ajustement de paramètres [Termes IGN] image radar [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] modèle géométrique de prise de vue [Termes IGN] modèle par fonctions rationnelles [Termes IGN] phase Résumé : (Auteur) Synthetic aperture radar interferometry (InSAR) is an alternative to conventional stereoscopic SAR for extracting relative or absolute terrain elevation information. However, for different InSAR data-sets, the auxiliary parameters are different, which introduces differences in the SAR interferometry rigorous sensor model (RSM). The Rational Polynomial Coefficient (RPC) model is a generalised sensor model which makes full use of the auxiliary parameters of the satellite images, and the coefficients of the model are then solved by fitting the model to the RSM. Some work has been carried out previously to validate its substitutability for the SAR RSM, which is based on the Range–Doppler equations. Further, this paper aims to prove that the RPC model can also be used as a replacement for the InSAR phase equation and can be widely applied on different types of InSAR data-sets. Based on numerous tests, the modelling error of the RPC is analysed. This study found that the RPC model is suitable for InSAR data-sets and it can be used as a replacement for the phase equation. Numéro de notice : A2011-387 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00647.x Date de publication en ligne : 14/09/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00647.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31166 [article]

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Evaluation of the RPC model for spaceborne SAR imagery / G. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 6 (June 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 6 (June 2010) . - pp 727 - 733 Titre : Evaluation of the RPC model for spaceborne SAR imagery Type de document : Article/Communication Auteurs : G. Zhang, Auteur ; W. Fei, Auteur ; Z. Li, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 727 - 733 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] image radar moirée [Termes IGN] image TerraSAR-X [Termes IGN] modèle par fonctions rationnelles [Termes IGN] modélisation géométrique de prise de vue Résumé : (Auteur) The rational polynomial coefficient (RPC) model has raised considerable interest in the photogrammetry and remote sensing community. Much work has been done on frame camera imagery and/or push-broom scanner imagery, and it has been widely accepted that the RPC model can be taken as an alternative to rigorous sensor models for photogrammetric processing. However, there have been few publications discussing the application of the RPC model to SAR image processing. In this paper, we first review the geometric effects of SAR imagery and compare SAR imagery with optical satellite imagery. Then, the unbiased RPC estimators for a series of SAR images are derived. Based on numerous tests with the rigorous sensor model available, the modeling error of the RPC is analyzed. This study found that the RPC model is suitable for SAR imagery and can be used as a replacement for the rigorous sensor model for photogrammetric processing. Numéro de notice : A2010-229 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.6.727 En ligne : https://doi.org/10.14358/PERS.76.6.727 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30423 [article]