Optimization techniques for image registration applied to remote sensing

Abstract : This thesis studies the computer vision problem of image registration in the context of geological remote sensing surveys. More precisely we dispose in this work of two images picturing the same geographical scene but acquired from two different view points and possibly at a different time. The task of registration is to associate to each pixel of the first image its counterpart in the second image.While this problem is relatively easy for human-beings, it remains an open problem to solve it with a computer. Numerous approaches to address this task have been proposed. The most promising techniques formulate the task as a numerical optimization problem. Unfortunately, the number of unknowns along with the nature of the objective function make the optimization problem extremely difficult to solve. This thesis investigates two approaches along with a coarsening scheme to solve the underlying numerical problem
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Bruno Conejo. Optimization techniques for image registration applied to remote sensing. Signal and Image Processing. Université Paris-Est, 2017. English. ⟨NNT : 2017PESC1231⟩. ⟨tel-01760446⟩

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