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Multisensor Image Processing

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The objective of MUSIP is to develop general-purpose tools for the interpretation of multi-sensor imagery and the fusion of image information with non-image data from many other sources.
The objective of the project was to develop general purpose tools for the interpretation of multisensor imagery and the fusion of image information with nonimage data from many other sources.
The multisensor image processing (MUSIP) system provides an integrated environment for the interpretation of image and spatial data in conjunction with other disparate data and knowledge. Existing and novel image processing tools are integrated into a knowledge based environment with powerful data handling facilities. New tools have been developed for sensor fusion, for the incorporation of auxiliary knowledge (eg, sensor characteristics), and for knowledge based control structures.

2 demonstrators will be produced: 1 for applications in flood and deforestation monitoring in remote sensing, and another for medical imaging. The data to be interpreted will include spatial models (eg, digital maps or anatomical atlas and spectral databases and models (eg, radar cross section models, or a tissue response database). Applications facilities will be provided for image interpretation on a powerful workstation with transputer based accelerators.
The prototype has been completed and demonstrated for both applications.
The MUSIP system will provide an integrated environment for the interpretation of image and spatial data in conjunction with other disparate data and knowledge.

Existing and novel image-processing tools will be integrated into a knowledge-based environment with powerful data-handling facilities. New tools will be developed for sensor fusion, for the incorporation of auxiliary knowledge (eg sensor characteristics), and for knowledge-based control structures.

Two demonstrators will be produced: one for applications in flood and deforestation monitoring in remote sensing, and another for medical imaging. The data to be interpreted will include spatial models (eg digital maps or anatomical atlas) and spectral databases and models (eg radar cross-section models, or a tissue response database). Applications facilities will be provided for image interpretation on a powerful workstation with transputer-based accelerators.

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GEC Marconi Space Systems
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Adresse
Anchorage Road
PO3 5PU Portsmouth
Vereinigtes Königreich

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Letzte Aktualisierung: 17 Juni 1994

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Permalink: https://cordis.europa.eu/project/id/2316/de

European Union, 2024