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- W2088893620 abstract "The study on epipolarity model of satellite stereo-imagery has been the research focus in application field of remotesensing for a long time. So far, there are basically two technical routines for exploring the epipolarity model of satelliteimages: one totally disregards any geometric sensor model when establishing the epipolar relations but figures out theepipolar curves in image-space by image correspondence and mathematical modeling, e.g. the Polynomial Fitting Model(PFM); on the contrary, the other attempts to exploit the epipolar relations based on specific sensor models, such as theProjection Trajectory based Epipolarity Model (PTEM), the Parallel Projection Transformation based Epipolarity Model(PPEM), etc. Although such models have been studied and used to generate epipolar images of satellite stereo pairs,some technical limitations still exist when taking the universality, applicability and implemental simplicity into account.Accordingly, this paper proposes a novel epipolarity model for satellite stereo-imagery based on the Virtual HorizontalPlane (VHP) of object-space. Firstly, the principle of the VHP-based epipolarity model is described; and then, theworkflow of VHP-based epipolar resampling is outlined in detail; finally, to verify the feasibility and correctness of newtheory and method, the approximate epipolar images of SPOT5-HRG stereo-imagery are generated. It is demonstratedthat the vertical parallaxes of conjugate image points have all reached the sub-pixel level after epipolar resampling;besides, by rearranging the approximate epipolar lines on the VHP defined in our method, the stereoscopic model that ishorizontal to the object-space and with consistent resolution can be available." @default.
- W2088893620 created "2016-06-24" @default.
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- W2088893620 date "2008-12-28" @default.
- W2088893620 modified "2023-09-23" @default.
- W2088893620 title "A novel epipolarity model of satellite stereo-imagery based on virtual horizontal plane of object-space" @default.
- W2088893620 doi "https://doi.org/10.1117/12.815932" @default.
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