Title :
Image Fusion Recognition of Aerial Optical-Electro Sensors Based on Evidence Theory
Author :
Shi, Zhi Fu ; Liu, Hai Yan ; Lei, Jin Li
Abstract :
Aim at the uncertainty and faintness of image information which are gained with aerial optical-electro sensors. The image fusion method based on D-S evidence theory is brought forward. Firstly, the pretreatment of each image get by corresponding image sensor is carried. Afterwards, the images are compared with every possible image in image database. The basic probability evaluation of every sensor is gained by image matching metric. Lastly, the target recognition result with multi-sensors through the combination rules and decision rules of D-S evidence theory. The simulation results showed that the methods could greatly improve the efficiency of target recognition and decrease the uncertainty of sensor informations.
Keywords :
case-based reasoning; image fusion; image matching; image sensors; inference mechanisms; object recognition; probability; D-S evidence theory; aerial optical-electro sensors; combination rules; decision rules; image fusion recognition; image information faintness; image information uncertainty; image matching metric; multisensors; probability; sensor information; target recognition; Educational institutions; Image databases; Image fusion; Image matching; Image recognition; Image sensors; Optical sensors; Sensor fusion; Target recognition; Uncertainty;
Conference_Titel :
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4199-0
DOI :
10.1109/CCPR.2009.5344113
