New opportunities for battlefield surveillance and modeling are unfolding with the advent of smart sensors linked via digital wireless networks. One exciting prospect is the use of tomographic techniques in order to create real-time three-dimensional modeling and analysis of the environment that is immediately accessible to battlefield forces. We have developed a small-scale ground sensor network for this application. We discuss initial deployment of this network as a tracking system.
We consider data management on ad hoc networks of sensing and processing nodes. We describe the construction of simple nodes from off the shelf components (PC 104 single board computers with flash memory, video capture cards and 802.1 lb wireless interfaces). We describe a Java interface to controlling these nodes and accessing images and image processing algorithms. We demonstrate target tracking across nodes and the potential for heterogeneous sensor types.
A sensor array is tomographic if sensor modules share raw information to form a joint target model. Target identification is then implemented on the global model. This paper considers sensor head and sensor array resource budgets for tomographic ground sensors. In this application, mixed local and global analysis schemes are likely to prove optimal. We illustrate potential approaches with images and analysis of 3D visual and infrared targets.
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