Detection of buried targets in multi-temporal infrared imagery using fuzzy kernel cluster with spatio and temporal restriction

Due to the existence of buried targets influenced the surface' images of IR changing with times, a fuzzy kernel cluster algorithm with spatio and temporal restriction (STKFCM) was proposed to detect buried targets based on multitemporal images of IR. Firstly, the information of spatio and the change in temporal were put into the classical fuzzy cluster algorithm. The index of temporal information was given. Then the weight factor of temporal was modificated by the index of temporal information. The spatio and temporal restriction was added to the multitemporal fuzzy cluster, which was used to classify the multitemporal images of IR. At last the targets' position and the number of classes were estimated by the results of class. Take the mechanism of buried targets' images into account, the general character of targets were obtained. And the detection's exactness of buried targets was improved. Experiment results demonstrate the algorithm's effectiveness in detecting buried targets shallow. Some interested research was offered to detect buried targets using the technology of IR.