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Pros and cons of the orientation of very high resolution optical space images / Karsten Jacobsen in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)
[article]
Titre : Pros and cons of the orientation of very high resolution optical space images Type de document : Article/Communication Auteurs : Karsten Jacobsen, Auteur Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 41 - 47 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] GPS-INS
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image optique
[Termes IGN] image ORBVIEW
[Termes IGN] image Quickbird
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation du capteur
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] transformation linéaire directeRésumé : (Auteur) Very high resolution optical space images are coming more and more into competition to classical aerial images making them more important for mapping projects. The orientation process of the dominating CCD-line scanner images taken from space is quite different from the orientation of perspective photos. Different image products like nearly original images and images projected to a plane with constant height are available, this requires corresponding orientation solutions. All optical satellites are equipped with direct sensor orientation based on a positioning system, gyros and star sensors, so they can estimate the orientation parameters. For IKONOS, QuickBird and OrbView-3, this can be made without control points with a standard deviation of the ground coordinates in the range of 10 m and better. The orientation information is available as view direction from the scene centre or start of scene or as ephemeris and as rational polynomial coefficients (RPCs). This allows the determination of the scene orientation by geometric reconstruction or bias corrected RPCs using control points. In addition approximations like 3D-affine transformation, direct linear transformation and terrain related RPCs are in use. The accuracy of the methods is compared in relation to the number and distribution of the control points and the limitations of the approximations are investigated. The approximations of the orientations by 3D affine transformation and direct linear transformation can only handle images projected to a plane with constant height like IKONOS and QuickBird or Standard. For original images they are not leading to acceptable accuracy. In any case they require more and three-dimensional well distributed control points. Copyright SFPT Numéro de notice : A2006-635 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/T02-06.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28358
in Revue Française de Photogrammétrie et de Télédétection > n° 184 (Décembre 2006) . - pp 41 - 47[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-06041 RAB Revue Centre de documentation En réserve L003 Disponible Artificial neural networks for mapping regional-scale upland vegetation from high spatial resolution imagery / H. Mills in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)
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Titre : Artificial neural networks for mapping regional-scale upland vegetation from high spatial resolution imagery Type de document : Article/Communication Auteurs : H. Mills, Auteur ; M.E. Cutler, Auteur ; David Fairbairn, Auteur Année de publication : 2006 Article en page(s) : pp 2177 - 2195 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte de la végétation
[Termes IGN] classification par réseau neuronal
[Termes IGN] données de terrain
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] montagne
[Termes IGN] Perceptron multicouche
[Termes IGN] Royaume-UniRésumé : (Auteur) Upland vegetation represents an important resource that requires frequent monitoring. However, the heterogeneous nature of upland vegetation and lack of ground data require classification techniques that have a high degree of generalization ability. This study investigates the use of artificial neural networks as a means of mapping upland vegetation from remotely sensed data. First, the optimum size of support to map upland vegetation was estimated as being less than 4 m, which suggested that soft classification techniques and high spatial resolution IKONOS imagery were required. The use of high spatial resolution imagery for regional-scale areas has introduced new challenges to the remote sensing community, such as using limited ground data and mapping land-cover dynamics and variation over large areas. This work then investigated the utility of artificial neural networks (ANN) for regional-scale upland vegetation from IKONOS imagery using limited ground data and to map unseen data from remote geographical locations. A Multiple Layer Perceptron was trained with pixels from an IKONOS image using early stopping; however, despite high classification accuracies when calculated for pixels from an area where training pixels were extracted, the networks did not produce high accuracies when applied to unseen data from a remote area. Copyright Taylor & Francis. Numéro de notice : A2006-299 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500396501 En ligne : https://doi.org/10.1080/01431160500396501 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28026
in International Journal of Remote Sensing IJRS > vol 27 n° 11 (June 2006) . - pp 2177 - 2195[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-06061 RAB Revue Centre de documentation En réserve L003 Exclu du prêt A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter / M. Choi in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)
[article]
Titre : A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter Type de document : Article/Communication Auteurs : M. Choi, Auteur Année de publication : 2006 Article en page(s) : pp 1672 - 1682 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] échantillonnage d'image
[Termes IGN] fusion d'images
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) A useful technique in various applications of remote sensing involves the fusion of panchromatic and multispectral satellite images. Recently, Tu et al. introduced a fast intensity-hue-saturation (IHS) fusion method. Aside from its fast computing capability for fusing images, this method can extend traditional three-order transformations to an arbitrary order. It can also quickly merge massive volumes of data by requiring only resampled multispectral data. However, fast IHS fusion also distorts color in the same way as fusion processes such as the IHS fusion technique. To overcome this problem, the minimization problem for a fast IHS method was considered and the method proposed by Gonzalez-Audicana et al. is presented as a solution. However, the method is not efficient enough to quickly merge massive volumes of data from satellite images. The author therefore uses a tradeoff parameter in a new approach to image fusion based on fast IHS fusion. This approach enables fast, easy implementation. Furthermore, the tradeoff between the spatial and spectral resolution of the image to be fused can be easily controlled with the aid of the tradeoff parameter. Therefore, with an appropriate tradeoff parameter, the new approach provides a satisfactory result, both visually and quantitatively. Copyright IEEE Numéro de notice : A2006-262 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.869923 En ligne : https://doi.org/10.1109/TGRS.2006.869923 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27989
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 6 (June 2006) . - pp 1672 - 1682[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06061 RAB Revue Centre de documentation En réserve L003 Disponible Multi-image matching for DSM generation from Ikonos imagery / Li Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
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Titre : Multi-image matching for DSM generation from Ikonos imagery Type de document : Article/Communication Auteurs : Li Zhang, Auteur ; Armin W. Gruen, Auteur Année de publication : 2006 Article en page(s) : pp 195 - 211 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] capteur en peigne
[Termes IGN] chambre DTC
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] contrôle qualité automatique
[Termes IGN] données laser
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image SPOT-HRS
[Termes IGN] modèle numérique de surface
[Termes IGN] photogrammétrie numérique
[Termes IGN] photogrammétrie spatiale
[Termes IGN] point d'appui
[Termes IGN] précision métrique
[Termes IGN] SuisseRésumé : (Auteur) High-resolution satellite images at sub-5-m footprint, such as IKONOS and SPOT5 HRG/HRS images, are becoming increasingly available to the earth observation community and their respective clients. The related cameras all use linear array CCD technology for image sensing. The processing of these kinds of images provides a challenge for algorithmic redesign and this offers the possibility of reconsidering and improving many photogrammetric processing components. This contribution presents an advanced matching approach for automatic DSM generation from high-resolution satellite images. It can provide dense, precise and reliable results. The method matches multiple (more than two) images simultaneously and it uses a coarse-to-fine hierarchical solution with an effective combination of several image matching algorithms and automatic quality control. The DSMs are generated by a combination of matching results of feature points, grid points and edges. The proposed approach has been applied to IKONOS images over a testfield in Thun, Switzerland with accurate ground control points, a 1600-m height range and variable land cover, but with sub-optimal imaging conditions (snow, long shadows). The accuracy tests are based on the comparison between the reference data from an airborne laser scanner and the automatically extracted DSMs. The RMS errors for the whole area, excluding trees and bushes, are 2-3 m, while for bare ground the accuracy is about 1 m or even better. Copyright ISPRS Numéro de notice : A2006-230 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.01.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.01.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27957
in ISPRS Journal of photogrammetry and remote sensing > vol 60 n° 3 (May 2006) . - pp 195 - 211[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-06031 SL Revue Centre de documentation Revues en salle Disponible Sensor orientation via RPCs / Clive Simpson Fraser in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
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Titre : Sensor orientation via RPCs Type de document : Article/Communication Auteurs : Clive Simpson Fraser, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 182 - 194 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] compensation par bloc
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modèle stéréoscopique
[Termes IGN] orientation du capteur
[Termes IGN] point d'appuiRésumé : (Auteur) The adoption of rational functions as a preferred sensor orientation model for narrow field of view line scanner imagery accompanied the introduction of commercial high-resolution satellite imagery (HRSI) at the turn of the millennium. This paper reviews the developments in ground point determination from HRSI via the model of terrain independent rational polynomial coefficients (RPCs). A brief mathematical background to rational functions is first presented, along with a review of the models for generating RPCs from a rigorous sensor orientation, and for geopositioning via either forward intersection or monoplotting. The concept of RPC block adjustment with compensation for exterior orientation biases is then discussed, as is the means to enhance the original RPCs through a bias correction procedure. The potential for RPC block adjustment to yield sub-pixel geopositioning accuracy from HRSI is illustrated using results from experimental testing with two Quickbird stereo image pairs and three multi-image IKONOS blocks. Finally, error propagation issues in RPC block adjustment of HRSI are considered. Copyright ISPRS Numéro de notice : A2006-229 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.11.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.11.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27956
in ISPRS Journal of photogrammetry and remote sensing > vol 60 n° 3 (May 2006) . - pp 182 - 194[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-06031 SL Revue Centre de documentation Revues en salle Disponible Interprétation visuelle des images satellitaires (Landsat TM, SPOT 4, IRS et Ikonos) et mouvements de masse : cas d'étude au Liban / C. Abdallah in Photo interprétation, vol 42 n° 1 (Mars 2006)PermalinkRoad extraction based on fuzzy logic and mathematical morphology from pan-sharpened Ikonos images / Ali Mohammadzadeh in Photogrammetric record, vol 21 n° 113 (March - May 2006)PermalinkUtilisation cartographique d'images satellite à haute résolution / Valerio Baiocchi in Géomatique expert, n° 49 (01/03/2006)PermalinkAssessment of very high spatial resolution satellite image segmentations / A.P. Carleer in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 11 (November 2005)PermalinkImage misregistration error in change measurements / H. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 9 (September 2005)PermalinkParamétrisation d'un simulateur du système "ville/milieu naturel" à l'aide d'une image Ikonos : application sur un secteur du grand Lyon / S. Hosford in Revue Française de Photogrammétrie et de Télédétection, n° 178 (Septembre 2005)PermalinkBias-compensated RPCs [rational polynomial coefficient] for sensor orientation of high-resolution satellite imagery / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 8 (August 2005)PermalinkStructural damage assessments from Ikonos data using change detection, object-oriented segmentation, and classification techniques / D.H.A. Khudhairy in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 7 (July 2005)PermalinkA comparative analysis of image fusion methods / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 43 n° 6 (June 2005)PermalinkQuality assessment of digital surface models generated from Ikonos imagery / J. Poon in Photogrammetric record, vol 20 n° 110 (June - August 2005)PermalinkSpatial accuracy of orthorectified Ikonos imagery and historical aerial photographs across five sites in China / H. Wang in International Journal of Remote Sensing IJRS, vol 26 n° 9 (May 2005)PermalinkUtilisation des anomalies morphologiques sur des images à très haute résolution dans la détection de dommages occasionnés par des séismes sur un milieu urbain peu densifié / G. Andre in Photo interprétation, vol 41 n° 1 (Mars 2005)PermalinkComparison between Mallat's and 'a trous' discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images / M. Gonzalea-Audicana in International Journal of Remote Sensing IJRS, vol 26 n° 3 (February 2005)PermalinkTsunami en Asie : le raz-de-marée des images satellites / Françoise de Blomac in SIG la lettre, n° 64 (février 2005)PermalinkTracking road centrelines from high resolution remote sensing images by least squares correlation matching / S.R. Park in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)PermalinkComparison of stereo-extracted DTM from different high-resolution sensors: SPOT-5, EROS-A, IKONOS-II, and QuickBird : Learning from Earth's Shapes and Colors / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 42 n° 10 (October 2004)PermalinkL'extraction du bâti à partir d'images satellitaires THRS / Serge Lhomme in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkPhotogrammetric exploitation of Ikonos imagery for mapping applications / C. Vincent Tao in International Journal of Remote Sensing IJRS, vol 25 n° 14 (July 2004)PermalinkThematic mapping in Morocco / D. Van De Voort in GIM international, vol 18 n° 7 (July 2004)PermalinkDTM generation from Ikonos in-track stereo images using a 3D physical model / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 6 (June 2004)Permalink