Objective
The ARTS-IP project was a definition study for the development of new architectures for processing satellite Synthetic Aperture Radar (SAR) images.
The project was a definition study for the development of new architectures for processing satellite synthetic aperture radar (SAR) images. An implementation work plan was prepared, covering aspects of real time signal processing both onboard and onground, image interpretation through expert systems, and the related hardware and software. The design of end-to-end remote sensing systems for crop monitoring and maritime surveillance was formulated in conceptual terms. This work included an initial feasibility study, with Landsat SAR images taken from different orbits. A comparative review of several texture analysis algorithms was carried out.
An implementation work-plan was prepared, covering aspects of real-time signal processing both on-board and on-ground, image interpretation through expert systems, and the related hardware and software.
The design of end-to-end remote sensing systems for crop monitoring and maritime surveillance was formulated in conceptual terms. This work included an initial feasibility study, with Landsat SAR images taken from different orbits. A comparative review ofseveral texture analysis algorithms was carried out.
Exploitation
The feasibility study revealed the European interest in this technical domain. Advances are foreseen in the signal processing area through the study of new algorithms for the production of custom high-speed integrated circuits, and the application of knowledge-based techniques for automated image interpretation.
However, the definition phase has also shown that many basic technological problems remain to be solved, and that the project goals need reformulating vis--vis the objectives of ESPRIT.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- engineering and technologyenvironmental engineeringremote sensing
- natural sciencescomputer and information sciencesartificial intelligenceexpert systems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
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00013 Roma
Italy