Title :
Emitter target recognition based on multi-sensor data fusion of ESM and IR
Author_Institution :
Electron. Eng. Inst., Hefei
Abstract :
The method of emitter target recognition based on multi-sensor system of ESM and IR is discussed in this paper. First, based on the multi-feature measured by ESM system, a new method to calculate the BPAF (basic probability assignment function) with synthetic fuzzy evaluation is proposed. Based on the IR image, the method to calculate the BPAF with the gray correlation analysis is proposed too. And further, the paper introduces the multi-sensor data fusion method based on the D-S evidence theory, which is applied to the emitter target recognition of multi-sensor system of ESM and IR. The experiments show that the proposed method is practicable and effective.
Keywords :
correlation methods; fuzzy set theory; image sensors; infrared imaging; object detection; object recognition; probability; D-S evidence theory; ESM system; basic probability assignment function; emitter target recognition; gray correlation analysis; infrared image; multisensor data fusion; synthetic fuzzy evaluation; Artificial satellites; Data engineering; Fuzzy sets; Fuzzy systems; Image analysis; Infrared image sensors; Optical fiber communication; Radio frequency; Sensor fusion; Target recognition;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697419