Airborne Fusion of Imaging and Non-imaging Sensor Information for Maritime Surveillance
نویسندگان
چکیده
This paper presents results from an Adaptable Data Fusion Testbed (ADFT) which has been constructed to analyze simulated or real data with the help of modular algorithms for each of the main fusion functions and image interpretation algorithms. The results obtained from data fusion of information coming from an imaging Synthetic Aperture Radar (SAR) and non-imaging sensors (ESM, IFF, 2-D radar) on-board an airborne maritime surveillance platform are presented for a typical scenario of Maritime Air Area Operations. The SAR imagery is analyzed by a four-step hierarchical classifier to obtain ship length, category, type and class.
منابع مشابه
Testbed for Fusion of Imaging and Non-Imaging Sensor Attributes in Airborne Surveillance Missions
An Adaptable Data Fusion Testbed (ADFT) has been constructed that can analyze simulated and/or real data with the help of modular algorithms for each of the main fusion functions and image interpretation algorithms. The results obtained from data fusion of information coming from an imaging Synthetic Aperture Radar (SAR) and non-imaging sensors (ESM, IFF, 2-D radar) on-board an airborne maritim...
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