首页|An evidence fusion approach for characterization of heterogeneous images under complex environment
An evidence fusion approach for characterization of heterogeneous images under complex environment
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
Characterization， recognition under complex environment is a challenging task。 The measured signal will be submerged by noise in complex environment， which makes it difficult to characterize targets， especially when the targets share the similar characteristics。 Multi-sensor information fusion will improve characterization significantly and DS evidence theory is an effective approach in heterogeneous information fusion。 However， evidence from multi-sensor information is always affected by subjective factors in the process of evidence fusion。 In this paper， a new evidence fusion approach for improving characterization under complex environment is proposed。 To characterize the heterogeneous images better， a concept of comprehensive credibility is introduced into the proposed approach and a new update rule of evidence is designed。 Some experimental results show the efficiency and effectiveness of the proposed approach。
NETL
