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Auteur Meiqin Che |
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Bi- and three-dimensional urban change detection using sentinel-1 SAR temporal series / Meiqin Che in Geoinformatica, vol 25 n° 4 (October 2021)
[article]
Titre : Bi- and three-dimensional urban change detection using sentinel-1 SAR temporal series Type de document : Article/Communication Auteurs : Meiqin Che, Auteur ; Paolo Gamba, Auteur Année de publication : 2021 Article en page(s) : pp 759 - 773 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse spatio-temporelle
[Termes IGN] banlieue
[Termes IGN] centre-ville
[Termes IGN] Chine
[Termes IGN] détection de changement
[Termes IGN] image Sentinel-SAR
[Termes IGN] série temporelle
[Termes IGN] zone urbaineRésumé : (auteur) Urban areas are subject to multiple and very different changes, in a two- and three-dimensional sense, mostly as a consequence of human activities, such as urbanization, but also because of catastrophic and sudden events, such as earthquakes, landslides, or floods. This paper aims at designing a procedure able to cope with both types of changes by combining interferometric coherence and backscatter amplitude, and provide a semantically meaningful analysis of the changes detected in both city inner cores and suburban areas. Specifically, this paper focuses on detecting multi-dimensional changes in urban areas using a stack of repeat-pass SAR data sets from Sentinel-1A/B satellites. The proposed procedure jointly exploits amplitude and coherence time series to perform this task. SAR amplitude is used to extract changes about the urban extents, i.e. in 2D, while interferometric coherence is sensitive to the presence of buildings and to their size, i. e. to 3D changes. The proposed algorithm is tested using a time-series of two years of Sentinel-1 data, from May 2016 to October 2018, and in two different Chinese cities, Changsha and Hangzhou, with the aim to understand both the temporal evolution of the urban extents, and the changes within what is constantly classified as “urban” throughout the considered time period. Numéro de notice : A2021-966 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-020-00398-8 Date de publication en ligne : 22/02/2020 En ligne : https://doi.org/10.1007/s10707-020-00398-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100389
in Geoinformatica > vol 25 n° 4 (October 2021) . - pp 759 - 773[article]