@article{fdi:010074824,
  title = {{J}oining multi-epoch archival aerial images in a single {S}f{M} block allows 3-{D} change detection with almost exclusively image information},
  author = {{F}eurer, {D}enis and {V}inatier, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}rchival aerial imagery is a worldwide resource for documenting past 3-{D} change at very high-resolution. {H}owever, external information is normally required so that accurate 3-{D} models can be computed from archival aerial imagery. {I}n this research, we propose and test a new method which joins multi-epoch images in a single block in the first steps of the structure from motion ({S}f{M}) processing. {I}t allows for computing coherent multi temporal digital elevation models ({DEM}s) using just image information. {T}his method is based on the invariance properties of the feature detection procedures that are at the root of the {S}f{M} algorithms. {O}n a test site covering 170 km(2), we applied {S}f{M} algorithms to a single image block consisting of all images captured at four different epochs and spanning a forty year period. {W}e compared this approach to the more classical methods which imply a separation of epochs in different processing blocks. {W}e tested different densities of ground control points derived simply and cheaply from a recent orthophoto and {DEM}, different ways of image preprocessing and different autocalibration procedures. {B}y determining which choice most affected the final result through this extensive testing procedure, we evaluated the potential of the proposed method for detecting 3-{D} change. {O}ur study showed that the proposed method resolves the problem of registration between epochs, so allowing the production of informative {DEM}s of difference using almost exclusively image information and limited photogrammetric expertise and human intervention. {A}s the proposed method can be automatically applied using just image information, our results pave the way to more systematic processing of archival aerial imagery with very large spatio-temporal windows, which should greatly help document of past 3-{D} change.},
  keywords = {{A}utomation ; {M}ultitemporal {DEM}s ; {S}f{M} photogrammetry ; {A}nalog imagery ; 3-{D} ; change detection ; {C}ost-effective/frugal ; {FRANCE} ; {OCCITANIE}},
  booktitle = {},
  journal = {{ISPRS} {J}ournal of {P}hotogrammetry and {R}emote {S}ensing},
  volume = {146},
  numero = {},
  pages = {495--506},
  ISSN = {0924-2716},
  year = {2018},
  DOI = {10.1016/j.isprsjprs.2018.10.016},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074824},
}