@article{fdi:010094308,
  title = {{E}valuating the potential of the {T}ime-{SIFT} approach using {P}l{\'e}iades satellite imagery for 3{D} change detection},
  author = {{B}rini, {I}. and {F}eurer, {D}enis and {T}ebourbi, {R}. and {V}inatier, {F}. and {A}bdelfattah, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{O}ptical satellite remote sensing images allow the analysis of topographic change detection based on digital elevation model differencing. {A}ccurate change detection requires co-registration of 3{D} models derived from multitemporal datasets, so far, usually achieved with external reference data or manual intervention. {B}ased 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. {W}e propose a first test of the time-{SIFT} approach on {P}l{\'e}iades tri-stereoscopic satellite imagery, covering the coastal plain in northeastern {T}unisia. {T}he multitemporal tie-points, coupled with the rational polynomial coefficient models of all the images, are refined in a joint bundle adjustment routine. {T}he accuracy of the derived digital elevation models is assessed in absolute (using external ground truth data) and relative (between epochs). {T}he time-{SIFT} approach reduces the normalized median absolute deviation from 1.80 to 1.14 m when compared with the classical approach. {O}ur results demonstrate that the time-{SIFT} approach can be extended for change detection analysis using {P}l{\'e}iades images, without ground control points or a posteriori co-registration, which paves the way to automated investigation of time series of past and future 3{D} satellite datasets. {W}e highlight the application of the time-{SIFT} approach to {P}l{\'e}iades images leveraging their high spatial resolution for change detection.},
  keywords = {{P}l{\'e}iades satellite ; photogrammetry ; co-registration ; 3{D} changes ; {TUNISIE} ; {CAP} {BON} {PENINSULE} ; {ZONE} {MEDITERRANEENNE}},
  booktitle = {},
  journal = {{J}ournal of {A}pplied {R}emote {S}ensing},
  volume = {19},
  numero = {2},
  pages = {024501 [15 p.]},
  year = {2025},
  DOI = {10.1117/1.{J}rs.19.024501},
  URL = {https://www.documentation.ird.fr/hor/fdi:010094308},
}