DocumentCode
1716981
Title
Multi-sensor target detection based on evidence reasoning theory
Author
Wang Xiaohua ; Liang Yan ; Zhao Chunhui
Author_Institution
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
fYear
2013
Firstpage
3971
Lastpage
3974
Abstract
Fusing the image information obtained by sensors could make full use of all sensor information. DS theory is popular in fusion field. Aim to multi-sensor target detecting, the paper proposes a method. First target will be segmented from single sensor image. Then the features is extracted in ROI Thirdly the fusion is made by DS. Experimental results demonstrates that the method could efficiently detect target by using multi-sensor images.
Keywords
case-based reasoning; feature extraction; image fusion; object detection; DS theory; ROI; evidence reasoning theory; feature extraction; image information fusion; multisensor target detection; single sensor image; target segmentation; Bismuth; Electronic mail; Image sensors; Sensor fusion; Sensor phenomena and characterization; Synthetic aperture radar; Evidence Reasoning Theory; fusion detecting; target detecting;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2013 32nd Chinese
Conference_Location
Xi´an
Type
conf
Filename
6640114
Link To Document