[1]XU L i-zhong,SH IAi-ye,et al.A perceptual and computationalmechan ism for bion ic compound eye systems with multi-source information fusion[J].CAAI Transactions on Intelligent Systems,2008,3(4):328-335.
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A perceptual and computationalmechan ism for bion ic compound eye systems with multi-source information fusion
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 4
Page number:
328-335
Column:
学术论文—机器感知与模式识别
Public date:
2008-08-25
- Title:
- A perceptual and computationalmechan ism for bion ic compound eye systems with multi-source information fusion
- Keywords:
- information fusion; p rocessing of remotely sensed images; bionic compound eye; water environmentmo- nitoring
- CLC:
- X87
- DOI:
- -
- Abstract:
- The compound eyes of flying insects are highly efficient at p rocessing received information. The authors imitated this action when develop ing a bionic compound eye system to monitorwater resources by fusing quantitative space2time information obtained from many sensors in the air and on the ground. This virtual bionic compound eye p latform integrated multip le satellite remote sensors and ground monitoring sensors. By imitating the information ac2 quisition mode of flies and the percep tual and computational mechanisms of their biological neural networks, it is possible to perform synergistic monitoring of large field (LF) and small field ( SF) data sufficient for thematic infor2 mation fusion and decision making. The p roposed mathematicalmodel and algorithm were designed on the basis of percep tual and computationalmechanisms of bionic compound eyes. Work covered in the paper includes: design of virtual compound eyes, a mathematicalmodel for virtual compound eye images, percep tion and computation mecha2 nism of LF and SF systems, and super2resolution reconstruction of virtual compound eye images. The computation model of the LF and SF system and the super2resolution of virtual compound eye imageswere simulated in a series of experimentswhich p roved that the p roposed model is effective
- References:
-
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Last Update:
2009-05-18