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

Christophe Palmann; Sébastien Mavromatis; Jean Sequeira

doi:10.1117/12.898158

26 October 2011 A new geometric invariant to match regions within remote sensing images of different modalities

Christophe Palmann, Sébastien Mavromatis, Jean Sequeira

Proceedings Volume 8180, Image and Signal Processing for Remote Sensing XVII; 818003 (2011) https://doi.org/10.1117/12.898158
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

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.

Citation Download Citation

Christophe Palmann, Sébastien Mavromatis, and Jean Sequeira "A new geometric invariant to match regions within remote sensing images of different modalities", Proc. SPIE 8180, Image and Signal Processing for Remote Sensing XVII, 818003 (26 October 2011); https://doi.org/10.1117/12.898158

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KEYWORDS

Clouds

Remote sensing

Sensors

Image processing

Contamination

Image registration

Synthetic aperture radar

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