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- W77357123 abstract "In the context of aerial imagery, one of the first steps toward a coherent processing of the information containedin multiple images is geo-registration, which consists in assigning geographic 3D coordinates to the pixels of theimage. This enables accurate alignment and geo-positioning of multiple images, detection of moving objectsand fusion of data acquired from multiple sensors.To solve this problem there are different approaches thatrequire, in addition to a precise characterization of the camera sensor, high resolution referenced images or terrainelevation models, which are usually not publicly available or out of date. Building upon the idea of developingtechnology that does not need a reference terrain elevation model, we propose a geo-registration technique thatapplies variational methods to obtain a dense and coherent surface elevation model that is used to replace thereference model. The surface elevation model is built by interpolation of scattered 3D points, which are obtainedin a two-step process following a classical stereo pipeline: first, coherent disparity maps between image pairsof a video sequence are estimated and then image point correspondences are back-projected.The proposed variational method enforces continuity of the disparity map not only along epipolar lines (as done by previous geo-registration techniques) but also across them, in the full 2D image domain. In the experiments, aerial images from synthetic video sequences have been used to validate the proposed technique." @default.
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- W77357123 date "2014-05-01" @default.
- W77357123 modified "2023-09-24" @default.
- W77357123 title "Aerial video geo-registration using terrain models from denseand coherent stereo matching" @default.
- W77357123 hasPublicationYear "2014" @default.
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