Neural approach for satellite image registration and pairing segmented areas

P. Bourret; B. Cabon; Eliane Cubero-Castan; E. Schaeffer; J. Y. Rousselot

doi:10.1117/12.226844

17 November 1995 Neural approach for satellite image registration and pairing segmented areas

P. Bourret, B. Cabon, Eliane Cubero-Castan, E. Schaeffer, J. Y. Rousselot

Proceedings Volume 2579, Image and Signal Processing for Remote Sensing II; (1995) https://doi.org/10.1117/12.226844
Event: Satellite Remote Sensing II, 1995, Paris, France

Abstract

This paper describes a complete method for pairing segmented areas on SPOT satellite images. Firstly, we present a segmentation algorithm which used a multi-scale edge detector and an edge closing process. Then, we propose a registration method without marker. This process is based upon the minimization of an energy function which can be computed after the segmentation step on the two images. Lastly we present a method for pairing sets of contiguous fields in the two images. The mapping of fields themselves is not possible because the fields may have merged (or be splitted into several fields) during the delay occurring between the two images. This method is also based upon the minimization of an energy function which is performed by the Mean Field Theory.

Citation Download Citation

P. Bourret, B. Cabon, Eliane Cubero-Castan, E. Schaeffer, and J. Y. Rousselot "Neural approach for satellite image registration and pairing segmented areas", Proc. SPIE 2579, Image and Signal Processing for Remote Sensing II, (17 November 1995); https://doi.org/10.1117/12.226844

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