OF THESIS OBTAINING D SILHOUETTES AND SAMPLED SURFACES FROM SOLID MODELS FOR USE IN COMPUTER VISION Model based object recognition algorithms identify modeled objects in a scene by relating stored geometric models to features extracted from sensor data This process can be combinatorially explosive as the amount of information presented to the recognition algorithm increases This thesis presents...

Rough set theory has not been applied to automatic target recognition (ATR) problems because the problems of interest were too large. The determination of reducts (classifiers) was a problem whose solution grew in exponential time with the number of range bins. This paper introduces a method which allows the determination of reducts in quadratic time and a method of partitioning the problem (re...

The National Optics Institute is currently carrying out a project in automatic target recognition (ATR) in order to locate, recognize, and track potential targets (e.g. tanks or troop carriers) acquired in real time by an infrared camera. The targets may be camouflaged or par­ tially occluded, in real scenes with high levels of clutters and noise. We present an algorithm based on the Dis­ tance...

The capability to exploit multiple sources of information is of fundamental importance in a battlefield scenario. Information obtained from different sources, and separated in space and time, provide the opportunity to exploit diversities in order to mitigate uncertainty. For the specific challenge of Automatic Target Recognition (ATR) from radar platforms, both channel (e.g. polarization) and ...

According to literature, a significant and up to date research direction to increase the performance level of automatic target recognition (ATR) systems is focused on the use of information coming from an appropriate set of EM sensors and high-quality decision fusion techniques, respectively. Consequently, in this paper a genetic optimized version of Sugeno’s fuzzy integral is discussed. In add...

This thesis is concerned with methods to facilitate automatic target recognition using images generated from a group of associated radar systems. Target recognition algorithms require access to a database of previously recorded or synthesized radar images for the targets of interest, or a database of features based on those images. However, the resolution of a new image acquired under non-ideal...

Many military and homeland defense missions require automated situation awareness in maritime environments. A major element of these missions is automatic detection, tracking, and recognition of ships as they transit harbors. We advocate the use of optical sensors in an Automated Target Recognition (ATR) system to accomplish these missions. This paper reports on the development of maritime opti...

AIIS3’RACT VIGI 1,ANI’E IS an ultrafast smart sensor testbcd for generic Automatic Target Recognition (ATR) applications with a series of capability demonstration focussed on cruise missi le defense (CMIJ). VIG1l.AN’1%’S sensor/processor architecture is based on next-generation lJV/visible/l R semors and a tcraoperations per second sugar-cube processor, as well as supporting airborne vehicle. I...

The past decade has witnessed rapid development in accurate modeling of 3D targets and multiple sensor fusion in automatic target recognition (ATR), however, the scientiic study for quantifying non-target objects in a cluttered scene has made very limited progress, due to its enormous diiculties. In this paper, we study two important themes in ATR: I) clutter modeling { how can we build generic...