%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Brini, I.
%A Feurer, Denis
%A Tebourbi, R.
%A Vinatier, F.
%A Abdelfattah, R.
%T Evaluating the potential of the Time-SIFT approach using Pléiades satellite imagery for 3D change detection
%D 2025
%L fdi:010094308
%G ENG
%J Journal of Applied Remote Sensing
%K Pléiades satellite ; photogrammetry ; co-registration ; 3D changes
%K TUNISIE ; CAP BON PENINSULE ; ZONE MEDITERRANEENNE
%M ISI:001523119200021
%N 2
%P 024501 [15 ]
%R 10.1117/1.Jrs.19.024501
%U https://www.documentation.ird.fr/hor/fdi:010094308
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2025-08/010094308.pdf
%V 19
%W Horizon (IRD)
%X Optical satellite remote sensing images allow the analysis of topographic change detection based on digital elevation model differencing. Accurate change detection requires co-registration of 3D models derived from multitemporal datasets, so far, usually achieved with external reference data or manual intervention. Based on structure from motion photogrammetric algorithms, co-registering images from different epochs together by extracting multitemporal tie-points, such as the time-scale-invariant feature transform (SIFT) approach, has been proven to be efficient for aerial images. We propose a first test of the time-SIFT approach on Pléiades tri-stereoscopic satellite imagery, covering the coastal plain in northeastern Tunisia. The multitemporal tie-points, coupled with the rational polynomial coefficient models of all the images, are refined in a joint bundle adjustment routine. The accuracy of the derived digital elevation models is assessed in absolute (using external ground truth data) and relative (between epochs). The time-SIFT approach reduces the normalized median absolute deviation from 1.80 to 1.14 m when compared with the classical approach. Our results demonstrate that the time-SIFT approach can be extended for change detection analysis using Pléiades images, without ground control points or a posteriori co-registration, which paves the way to automated investigation of time series of past and future 3D satellite datasets. We highlight the application of the time-SIFT approach to Pléiades images leveraging their high spatial resolution for change detection.
%$ 126 ; 020