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Geometric accuracy evaluation of YG-18 satellite imagery based on RFM / Ruishan Zhao in Photogrammetric record, vol 32 n° 157 (March - May 2017)  

Public [article]  inPhotogrammetric record > vol 32 n° 157 (March - May 2017) . - pp 33 - 47 Titre : Geometric accuracy evaluation of YG-18 satellite imagery based on RFM Type de document : Article/Communication Auteurs : Ruishan Zhao, Auteur ; Yonghua Jiang, Auteur ; Guo Zhang, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 33 - 47 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] estimation de précision [Termes IGN] géoréférencement direct [Termes IGN] image radar moirée [Termes IGN] image YG [Termes IGN] modèle numérique de surface [Termes IGN] modèle par fonctions rationnelles [Termes IGN] orthorectification automatique [Termes IGN] point d'appui [Termes IGN] précision géométrique (imagerie) [Termes IGN] transformation affine Résumé : (auteur) YaoGan-18 (YG-18) is a Chinese high-resolution synthetic aperture radar (SAR) satellite, which was launched on 29th October 2013. So far, however, there have been no published reports evaluating the geometric accuracy of its imagery; this is rectified in this paper. A refined rational function model (RFM) with an affine transformation is utilised for the spaceborne SAR processing. By setting corner reflectors as ground control points (GCPs) and independent check points, the orthorectification accuracy of YG-18 satellite images was better than 2·5 m. Its stereo-SAR measurement accuracy was subsequently evaluated using a high-precision digital surface model (DSM), achieving an elevation accuracy of 11·36 m. The feasibility of the orthorectification method based on GCPs selected from corresponding image points of YG-18 SAR images and ZiYuan-3 (ZY-3) optical images was also verified, offering single-image accuracy better than 4·5 m. Numéro de notice : A2017-196 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12179 En ligne : http://dx.doi.org/10.1111/phor.12179 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84870 [article]

A methodology for near real-time change detection between Unmanned Aerial Vehicle and wide area satellite images / Anastasios L. Fytsilis in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 119 (September 2016) . - pp 165- 186 Titre : A methodology for near real-time change detection between Unmanned Aerial Vehicle and wide area satellite images Type de document : Article/Communication Auteurs : Anastasios L. Fytsilis, Auteur ; Anthony Prokos, Auteur ; Konstantinos D. Koutroumbas, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 165- 186 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification hybride [Termes IGN] drone [Termes IGN] gradient [Termes IGN] image aérienne [Termes IGN] image satellite [Termes IGN] méthodologie [Termes IGN] orthorectification automatique [Termes IGN] recalage d'image Résumé : (Auteur) In this paper a novel integrated hybrid methodology for unsupervised change detection between Unmanned Aerial Vehicle (UAV) and satellite images, which can be utilized in various fields like security applications (e.g. border surveillance) and damage assessment, is proposed. This is a challenging problem mainly due to the difference in geographic coverage and the spatial resolution of the two images, as well as to the acquisition modes which lead to misregistration errors. The methodology consists of the following steps: (a) pre-processing, where the part of the satellite image that corresponds to the UAV image is determined and the UAV image is ortho-rectified using information provided by a Digital Terrain Model, (b) the detection of potential changes, which is based exclusively on intensity and image gradient information, (c) the generation of the region map, where homogeneous regions are produced by the previous potential changes via a seeded region growing algorithm and placed on the region map, and (d) the evaluation of the above regions, in order to characterize them as true changes or not. The methodology has been applied on demanding real datasets with very encouraging results. Finally, its robustness to the misregistration errors is assessed via extensive experimentation. Numéro de notice : A2016-782 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.06.001 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.06.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82479 [article]

The georeferencing of RASAT satellite imagery and some practical approaches to increase the georeferencing accuracy / Mustafa Erdogan in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)  

Public [article]  inGeocarto international > vol 31 n° 5 - 6 (May - June 2016) . - pp 647 - 660 Titre : The georeferencing of RASAT satellite imagery and some practical approaches to increase the georeferencing accuracy Type de document : Article/Communication Auteurs : Mustafa Erdogan, Auteur ; Altan Yilmaz, Auteur ; Oktai Eker, Auteur Année de publication : 2016 Article en page(s) : pp 647 - 660 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] capteur en peigne [Termes IGN] correction géométrique [Termes IGN] géoréférencement [Termes IGN] orbitographie [Termes IGN] orthorectification automatique Résumé : (Auteur) RASAT Earth Observation Satellite is the second remote sensing satellite of The Scientific and Technological Research Council of Turkey (TUBITAK) Space Technologies Search Institute (TUBITAK Space). Generally, the first step to utilize the satellite imagery in GIS applications is the accurate geometric correction of the imagery. But, the geometric correction process of RASAT images is somewhat difficult due to insufficient orbit data and lack of satellite imagery processing software with RASAT model. Although the geolocation of RASAT images is investigated in some recent studies, subpixel accuracies cannot be achieved. In this study, different geometric correction methods and combination of them are tested with a more interactive workflow that uses the results of other approaches. Results show that these approaches can be used for the geometric correction of RASAT like pushbroom satellite images with insufficient orbit data and better geolocation accuracies can be achieved by different geometric correction approaches. Numéro de notice : A2016-173 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1073367 Date de publication en ligne : 12/08/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1073367 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80517 [article]

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Automatic orthorectification of high-resolution optical satellite images using vector roads / Aleš Marsetič in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 53 n° 11 (November 2015) . - pp 6035 - 6047 Titre : Automatic orthorectification of high-resolution optical satellite images using vector roads Type de document : Article/Communication Auteurs : Aleš Marsetič, Auteur ; Krištof Oštir, Auteur ; Mojca Kosmatin-Fras, Auteur Année de publication : 2015 Article en page(s) : pp 6035 - 6047 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] capteur en peigne [Termes IGN] chaîne de traitement [Termes IGN] colinéarité [Termes IGN] élément d'orientation externe [Termes IGN] estimation de position [Termes IGN] extraction de données [Termes IGN] géoréférencement [Termes IGN] image RapidEye [Termes IGN] modélisation géométrique de prise de vue [Termes IGN] orthorectification automatique [Termes IGN] système de coordonnées Résumé : (Auteur) This paper presents a completely automatic processing chain for orthorectification of optical pushbroom sensors. The procedure is robust and works without manual intervention from raw satellite image to orthoimage. It is modularly divided in four main steps: metadata extraction, automatic ground control point (GCP) extraction, geometric modeling, and orthorectification. The GCP extraction step uses georeferenced vector roads as a reference and produces a file with a list of points and their accuracy estimation. The physical geometric model is based on collinearity equations and works with sensor-corrected (level 1) optical satellite images. It models the sensor position and attitude with second-order piecewise polynomials depending on the acquisition time. The exterior orientation parameters are estimated in a least squares adjustment, employing random sample consensus and robust estimation algorithms for the removal of erroneous points and fine-tuning of the results. The images are finally orthorectified using a digital elevation model and positioned in a national coordinate system. The usability of the method is presented by testing three RapidEye images of regions with different terrain configurations. Several tests were carried out to verify the efficiency of the procedure and to make it more robust. Using the geometric model, subpixel accuracy on independent check points was achieved, and positional accuracy of orthoimages was around one pixel. The proposed procedure is general and can be easily adapted to various sensors. Numéro de notice : A2015-772 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2431434 Date de publication en ligne : 01/06/2015 En ligne : https://doi.org/10.1109/TGRS.2015.2431434 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78828 [article]

Exemplaires(1)

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065-2015111	SL	Revue	Centre de documentation	Revues en salle	Disponible

Planar block adjustment and orthorectification of ZY-3 satellite images / Toyang Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 6 (June 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 6 (June 2014) . - pp 559 - 570 Titre : Planar block adjustment and orthorectification of ZY-3 satellite images Type de document : Article/Communication Auteurs : Toyang Wang, Auteur ; Guo Zhang, Auteur ; Deren Li, Auteur Année de publication : 2014 Article en page(s) : pp 559 - 570 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] 1:50.000 [Termes IGN] carte topographique [Termes IGN] compensation par bloc [Termes IGN] image ZiYuan-3 [Termes IGN] orthorectification automatique [Termes IGN] point d'appui [Termes IGN] précision du positionnement Résumé : (Auteur) For the problem of block adjustment for satellite images, which cannot be solved under conditions of weak geomet-ric convergence, this paper proposes a strategy that uses a planar block adjustment method to solve the orientation parameters of all satellite images, and then each satellite image is orthorectified. This strategy can ensure both the uniformity of the positioning accuracy and the strictness of the relative positions of the adjacent orthoimages. Tests of 139 panchromatic nadir images from the ZY-3 satellite show that by using only a small number of ground control points (GCPs), whose plane accuracy is 5 m, the plane accuracy of independent check points (iCPs) is better than 7 m after planar block adjustment. This accuracy meets the requirements for Chinese 1:50 000 topographic maps. Moreover, the precise-ness of tie points (TPs) in adjacent images is better than 0.5 pixels, so a seamless level in mosaic geometry is attained. Numéro de notice : A2014-294 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.6.559-570 En ligne : https://doi.org/10.14358/PERS.80.6.559-570 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33197 [article]

Orthorectification of full-polarimetric radarsat-2 data using accurate LIDAR DSM / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)  

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Radarsat-2 data: automated high accuracy geometric correction and mosaicking without ground control points / Penggen Cheng in Geoinformatics, vol 13 n° 5 (01/07/2010)

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Automated high-speed high-accuracy orthorectification and mosaicking: using Rapideye data without ground control / Penggen Cheng in Geoinformatics, vol 12 n° 7 (01/10/2009)

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Using a three dimensional spatial database to orthorectify automatically remote sensing images / Simon Baillarin (2005)    

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