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High resolution elevation data derived from stereoscopic CORONA imagery ground control: an approach using IKONOS and SRTM data / Nikolaos Galiatsatos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 9 (September 2008) . - pp 1093 - 1106 Titre : High resolution elevation data derived from stereoscopic CORONA imagery ground control: an approach using IKONOS and SRTM data Type de document : Article/Communication Auteurs : Nikolaos Galiatsatos, Auteur ; N.M. Donoghue, Auteur ; G. Philip, Auteur Année de publication : 2008 Article en page(s) : pp 1093 - 1106 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] contour [Termes IGN] correction géométrique [Termes IGN] distorsion d'image [Termes IGN] estimation de précision [Termes IGN] géométrie de l'image [Termes IGN] image Corona [Termes IGN] image Ikonos [Termes IGN] image SRTM [Termes IGN] MNS SRTM [Termes IGN] modèle numérique de surface [Termes IGN] modèle stéréoscopique [Termes IGN] radargrammétrie [Termes IGN] Syrie Résumé : (Auteur) The first space mission to provide stereoscopic imagery of the Earth’s surface was from the American CORONA spy satellite program from which it is possible to generate Digital Elevation Models (DEMs). CORONA imagery and derived DEMs are of most value in areas where conventional topographic maps are of poor quality, but the problem has been that until recently, it was difficult to assess their accuracy. This paper presents a methodology to create a high quality DEM from CORONA imagery using horizontal ground control derived from Ikonos space imagery and vertical ground control from map-based contour lines. Such DEMs can be produced without the need for field-based ground control measurements which is an advantage in many parts of world where ground surveying is difficult. Knowledge of CORONA image distortions, satellite geometry, ground resolution, and film scanning are important factors that can affect the DEM extraction process. A study area in Syria is used to demonstrate the method, and Shuttle Radar Topography Mission (SRTM) data is used to perform quantitative and qualitative accuracy assessment of the automatically extracted DEM. The SRTM data has enormous importance for validating the quality of CORONA DEMs, and so, unlocking the potential of a largely untapped part of the archive. We conclude that CORONA data can produce unbiased, high-resolution DEM data which may be valuable for researchers working in countries where topographic data is difficult to obtain. Copyright ASPRS Numéro de notice : A2008-346 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.9.1093 En ligne : https://doi.org/10.14358/PERS.74.9.1093 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29339 [article]

Optimizing the high-pass filter addition technique for image fusion / U.G. Gangkofner in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 9 (September 2008) . - pp 1107 - 1118 Titre : Optimizing the high-pass filter addition technique for image fusion Type de document : Article/Communication Auteurs : U.G. Gangkofner, Auteur ; P.S. Pradhan, Auteur ; D.W. Holcomb, Auteur Année de publication : 2008 Article en page(s) : pp 1107 - 1118 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] filtrage numérique d'image [Termes IGN] filtre passe-haut [Termes IGN] fusion d'images [Termes IGN] image à basse résolution [Termes IGN] image à très haute résolution [Termes IGN] image optique [Termes IGN] netteté [Termes IGN] transformation en ondelettes Résumé : (Auteur) Pixel-level image fusion combines complementary image data, most commonly low spectral-high spatial resolution data with high spectral-low spatial resolution optical data. The presented study aims at refining and improving the High-Pass Filter Additive (HPFA) fusion method towards a tunable and versatile, yet standardized image fusion tool. HPFA is an image fusion method in the spatial domain, which inserts structural and textural details of the higher resolution image into the lower resolution image, whose spectral properties are thereby largely retained. Using various input image pairs, workable sets of HPFA parameters have been derived with regard to high-pass filter properties and injection weights. Improvements are the standardization of the HPFA parameters over a wide range of image resolution ratios and the controlled trade-off between resulting image sharpness and spectral properties. The results are evaluated visually and by spectral and spatial metrics in comparison with wavelet-based image fusion results as a benchmark. Copyright ASPRS Numéro de notice : A2008-347 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.9.1107 En ligne : https://doi.org/10.14358/PERS.74.9.1107 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29340 [article]

Shaping polyhedral buildings by the fusion of vector maps and lidar point clouds / L.C. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 9 (September 2008) . - pp 1147 - 1157 Titre : Shaping polyhedral buildings by the fusion of vector maps and lidar point clouds Type de document : Article/Communication Auteurs : L.C. Chen, Auteur ; T.A. Teo, Auteur ; C.Y. Kuo, Auteur ; J.Y. Rau, Auteur Année de publication : 2008 Article en page(s) : pp 1147 - 1157 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] conflation [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] données vectorielles [Termes IGN] fusion de données [Termes IGN] grande échelle [Termes IGN] lasergrammétrie [Termes IGN] polyèdre [Termes IGN] reconstruction 3D du bâti [Termes IGN] semis de points [Termes IGN] Triangulated Irregular Network Résumé : (Auteur) We integrate lidar point clouds and large-scale vector maps to perform building modeling. The proposed scheme comprises three major steps: (a) the preprocessing of lidar point clouds and vector maps, (b) roof analysis, and (c) building reconstruction. During the preprocessing stage, the building polygons are first obtained from the polylines, followed by the selections of lidar points in the building polygons. An irregular triangulated network is then built to represent the facets. The segmentation of planar facets for roof analysis is implemented by examining the patch size and the facet orientation. The interior 3D roof edges are then determined from the intersection of the roof planes. Finally, the building models are reconstructed through regularization. Two sample sites are tested for the purposes of validation. The experimental results indicate that the proposed scheme allows for high fidelity and accuracy, provided that the point cloud density is enough. Copyright ASPRS Numéro de notice : A2008-348 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.9.1147 En ligne : https://doi.org/10.14358/PERS.74.9.1147 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29341 [article]