Abstract-This paper systematically reviews 10 years of research that several Army Laboratories conducted in object recognition algorithms, processors, and evaluation techniques. In the military, object recognition is applied to the discrimination of military targets, ranging from human-aided to autonomous operations, and is called Automatic Target Recognition (ATR). The research described here has been concentrated in human-aided target recognition applications, but some attention has been paid to automatic processes. Definitions and performance metrics that have been developed are described along with performance data showing the present state-of-the-art. The effects of signal-to-noise and clutter parameters are indicated in the data. Multisensor fusion and model-based algorithms are discussed as the latest techniques under consideration by the military research community. The results demonstrate that useful performance can be achieved, and tools are evolving to understand and improve the performance under real-world conditions. The referenced research strongly indicates the need for the development of image science, as described in the paper, to support the theoretical underpinnings of ATR.
Initial dissociation rates of CO2 in pure CO. glow discharges and C02 mixtures with He, N2, Hz have been', determined in the 1-Torr pressure range using a mass spectrometric sampling technique combined with', plasma diagnostic methods. The observed results for the pure CO. case are discussed in terms of dissociative attachment and collisional dissociation of vibrationally excited CO. molecules both of which contribute to the dissociation process; most influential in mixtures is H. which reduces the dissociative process. At the same time, the quasistationary values of the CO"CO-O. mixture as well as that of CO 2 -Co-O, with He, N2, H2 have been measured: [C02]/ [CO][02]1I2 is approximately constant at pressures >500 mTorr and linearly dependent upon Hz concentration.
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