A new geometric invariant to match regions within remote sensing images of different modalities

Abstract : The use of several images of various modalities has been proved to be useful for solving problems arising in many different applications of remote sensing. The main reason is that each image of a given modality conveys its own part of specific information, which can be integrated into a single model in order to improve our knowledge on a given area. With the large amount of available data, any task of integration must be performed automatically. At the very first stage of an automated integration process, a rather direct problem arises : given a region of interest within a first image, the question is to find out its equivalent within a second image acquired over the same scene but with a different modality. This problem is difficult because the decision to match two regions must rely on the common part of information supported by the two images, even if their modalities are quite different. In this paper, we propose a new method to address this problem.
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Contributeur : Sébastien Mavromatis <>
Soumis le : dimanche 13 mars 2016 - 22:47:07
Dernière modification le : mercredi 12 septembre 2018 - 01:27:51

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Christophe Palmann, Sébastien Mavromatis, Jean Sequeira. A new geometric invariant to match regions within remote sensing images of different modalities. SPIE Remote Sensing, Oct 2011, Prague, Czech Republic. pp.818003--818003, 2011, 〈10.1117/12.898158〉. 〈hal-01287592〉

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