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Accuracy assessment of high resolution satellite imagery orientation by leave-one-out method / Maria Antonia Brovelli in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)
[article]
Titre : Accuracy assessment of high resolution satellite imagery orientation by leave-one-out method Type de document : Article/Communication Auteurs : Maria Antonia Brovelli, Auteur ; M. Crespi, Auteur ; F. Fratarcangeli, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 427 - 440 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] estimation de précision
[Termes IGN] image à haute résolution
[Termes IGN] image EROS
[Termes IGN] image Quickbird
[Termes IGN] orientation externe
[Termes IGN] OrthoEngine
[Termes IGN] point d'appui
[Termes IGN] point de vérification
[Termes IGN] précision des donnéesRésumé : (Auteur) Interest in high-resolution satellite imagery (HRSI) is spreading in several application fields, at both scientific and commercial levels. Fundamental and critical goals for the geometric use of this kind of imagery are their orientation and orthorectification, processes able to georeference the imagery and correct the geometric deformations they undergo during acquisition. In order to exploit the actual potentialities of orthorectified imagery in Geomatics applications, the definition of a methodology to assess the spatial accuracy achievable from oriented imagery is a crucial topic. In this paper we want to propose a new method for accuracy assessment based on the Leave-One-Out Cross-Validation (LOOCV), a model validation method already applied in different fields such as machine learning, bioinformatics and generally in any other field requiring an evaluation of the performance of a learning algorithm (e.g. in geostatistics), but never applied to HRSI orientation accuracy assessment. The proposed method exhibits interesting features which are able to overcome the most remarkable drawbacks involved by the commonly used method (Hold-Out Validation — HOV), based on the partitioning of the known ground points in two sets: the first is used in the orientation–orthorectification model (GCPs — Ground Control Points) and the second is used to validate the model itself (CPs — Check Points). In fact the HOV is generally not reliable and it is not applicable when a low number of ground points is available. To test the proposed method we implemented a new routine that performs the LOOCV in the software SISAR, developed by the Geodesy and Geomatics Team at the Sapienza University of Rome to perform the rigorous orientation of HRSI; this routine was tested on some EROS-A and QuickBird images. Moreover, these images were also oriented using the world recognized commercial software OrthoEngine v. 10 (included in the Geomatica suite by PCI), manually performing the LOOCV since only the HOV is implemented.
The software comparison guaranteed about the overall correctness and good performances of the SISAR model, whereas the results showed the good features of the LOOCV method. Copyright ISPRSNuméro de notice : A2008-325 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.01.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.01.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29318
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 4 (July - August 2008) . - pp 427 - 440[article]Réservation
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