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- W69147354 abstract "Digital terrain models (DTM) are used in a wide variety of applications (geography, geology, remote sensing, military mission planning, …), but the methods used to compute them lack to provide basic statistics concerning the uncertainty of the relief values. Like at Istar, the computation of a DTM can be achieved using a stereoscopic pair of satellite images, and a correlation algorithm which enables to compute a dense disparity map. Although this algorithm performs well in many cases, spatial correlated errors, which can not be easily detected automatically, may arise, due to poor texture, noise, diachronism, … We present a theoretical stochastic framework to tackle this problem, where the disparity acts as a randomizing variable.KeywordsSatellite ImageDigital Terrain ModelGEOSTATISTICAL AnalysisConvolution ProductSpatial UncertaintyThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W69147354 date "2001-01-01" @default.
- W69147354 modified "2023-09-27" @default.
- W69147354 title "Geostatistical Analysis of Stereoscopic Pairs of Satellite Images" @default.
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- W69147354 doi "https://doi.org/10.1007/978-94-010-0810-5_57" @default.
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