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Building recognition from multi-aspect high-resolution InSAR data in urban areas / A. Thiele in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 1 (November 2007)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 45 n° 11 Tome 1 (November 2007) . - pp 3583 - 3593 Titre : Building recognition from multi-aspect high-resolution InSAR data in urban areas Type de document : Article/Communication Auteurs : A. Thiele, Auteur ; E. Cadario, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 3583 - 3593 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] fusion de données multisource [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] primitive géométrique [Termes IGN] radar à antenne synthétique [Termes IGN] reconstruction 3D du bâti [Termes IGN] zone urbaine Résumé : (Auteur) The improved ground resolution of state-of-the-art synthetic aperture radar (SAR) sensors suggests utilizing SAR data for the analysis of urban areas. The appearance of buildings in SAR or interferometric SAR (InSAR) data is characterized by the consequences of the inherent oblique scene illumination, such as layover, occlusion by radar shadow, and multipath signal propagation. Therefore, particularly in dense built-up areas, building reconstruction is often impossible from a single SAR or InSAR measurement alone. But, the reconstruction quality can be significantly improved by a combined analysis of multi-aspect data. In this paper, two approaches are proposed to detect and reconstruct buildings of different size from multi-aspect high-resolution InSAR data sets. Both approaches focus on the recognition of buildings supported by knowledge-based analysis considering the mentioned SAR-specific effects observed in urban areas. Building features are extracted independently for each direction from the magnitude and phase information of the interferometric data. Initial primitives are segmented and afterward projected from slant-range into the world coordinate system. From the fused set of primitives of both flight directions, building hypotheses are generated. The first approach exploits the frequently observed lines of bright double-bounce scattering, which are used for building reconstruction in residential districts. In the case of larger buildings, such as industrial halls, often additional features of roof and facade elements are visible. Therefore, in a second approach, extended buildings are extracted by grouping primitives of different kinds. The two approaches are demonstrated in an urban environment for an InSAR data set, which has spatial resolution of about 30 cm and was taken from two orthogonal flight directions. Copyright IEEE Numéro de notice : A2007-506 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2619184 En ligne : https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744453 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28869 [article]

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