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Measurement of surface changes in a scaled-down landslide model using high-speed stereo image sequences / Tiantian Feng in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 7 (juillet 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 7 (juillet 2016) . - pp 547 - 557 Titre : Measurement of surface changes in a scaled-down landslide model using high-speed stereo image sequences Type de document : Article/Communication Auteurs : Tiantian Feng, Auteur ; Huan Mi, Auteur ; Marco Scaioni, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 547 - 557 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] cartographie d'urgence [Termes descripteurs IGN] Chine [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] effondrement de terrain [Termes descripteurs IGN] gestion prévisionnelle [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] modèle stéréoscopique [Termes descripteurs IGN] photogrammétrie métrologique [Termes descripteurs IGN] séquence d'images [Termes descripteurs IGN] surveillance géologique [Termes descripteurs IGN] vitesse Résumé : (Auteur) Construction of scaled-down landslide models is an important means for landslide study. The objective of this study is to develop an innovative non-contact photogrammetric system to meet the challenge for monitoring the fast surface deformation of a laboratory-simulated landslide, which can detect pre-failure events and the final failure, provide sectional and overall surface deformation patterns, and generate speed maps during the rapid slope failure. We proposed an event detector based on altered surface features in the slower SLRC (single-lensreflex camera) image sequence to detect pre-failure events, while a combined analysis tool used the surface velocity fields and deformation areas based on fast HSCS (high-speed stereocamera system) stereo image sequences to reveal fast-changing landslide behavior during the short final failure. The introduced surface change detector uses the percentage of sliding block areas, percentage of changed features, and average speeds. It successfully detected four pre-failure local collapse events and the final slope failure; the extent of surface changes reached its maximum to accumulate energy 1.5 seconds before the failure when the average speed of changed features achieved its peak of 0.8 m/s. The developed system achieved a position accuracy of 3.8 mm and a speed accuracy of 0.11 m/s. The analysis result demonstrated a time period of 66 minutes before the failure which is confirmed by significant signals from both imaging and contact sensors and is important for landslide early warning. A field implementation scheme in western China will be designed and realized in the near future. Numéro de notice : A2016-516 Thématique : IMAGERIE Nature : Article En ligne : http://dx.doi.org/10.14358/PERS.82.7.547 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81587 [article]

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Use of shadows for detection of earthquake-induced collapsed buildings in high-resolution satellite imagery / Xiaohua Tong in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 79 (May 2013) . - pp 53 - 67 Titre : Use of shadows for detection of earthquake-induced collapsed buildings in high-resolution satellite imagery Type de document : Article/Communication Auteurs : Xiaohua Tong, Auteur ; Xiaofei Lin, Auteur ; Tiantian Feng, Auteur ; Huan Xie, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 53 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] bâtiment [Termes descripteurs IGN] cartographie des risques [Termes descripteurs IGN] détection d'ombre [Termes descripteurs IGN] dommage matériel [Termes descripteurs IGN] image à haute résolution [Termes descripteurs IGN] modèle 3D de l'espace urbain [Termes descripteurs IGN] ombre [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] séisme [Termes descripteurs IGN] Setchouan (Chine) [Termes descripteurs IGN] seuillage d'image Résumé : (Auteur) In this paper, we present a hybrid shadow-analysis approach that integrates the model- and property-based methods for detecting collapsed buildings after an earthquake using high-resolution satellite imagery. The framework of the proposed approach has four main steps. (1) The three-dimensional (3D) building model is established according to its footprint and height data stored in a geographical information system. (2) The theoretical shadow area of the building at the time that the post-seismic image was acquired is calculated. And the polygon of the ground shadow area of the building, which is called the theoretical ground shadow polygon, is extracted. (3) The theoretical ground shadow polygon is overlaid with the casting shadow area of the building, which is called the actual shadow area in the post-seismic satellite image, and the mean value of the digital number values of the post-seismic image pixels within the polygon of the theoretical shadow area is calculated. (4) The calculated mean value is compared with predefined thresholds, which are determined by the training pixels collected from the different types of shadows. On this basis, the shadows of totally collapsed, partially collapsed and uncollapsed buildings can be distinguished. A comprehensive experiment for Dujiangyan city, one of the urban areas most severely damaged in the May 2008 Wenchuan Earthquake, was conducted, and the experimental results showed the superiority of the proposed approach to the other existing ones. Numéro de notice : A2013-233 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32371 [article]

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