GMTI and IMINT data fusion for multiple target tracking and classification

Abstract

In this paper, we propose a new approach to track multiple ground target with GMTI (Ground Moving Target Indicator) and IMINT (IMagery INtelligence) reports. This tracking algorithm takes into account road network information and is adapted to the out of sequence measurement problem. The scope of the paper is to fuse the attribute type information given by heterogeneous sensors with DSmT (Dezert Smarandache Theory) and to introduce the type results in the tracking process. We show the ground target tracking improvement obtained due to better targets discrimination and an efficient conflicting information management on a realistic scenario.