Ronald N. DeWitt

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The authors report on the use of a three-layer backpropagation neural network to do a pixel-by-pixel classification of a multispectral image of the Earth's surface. Standard techniques are used to specify and train the network; however, the output slab is tailored to present the results of the pixel classification as standard three-color video display.(More)
This paper presents an economical method for representing track sets for observations of possibly unstable groups of vehicles, and an algorithm to create and update the multi-vehicle track association hypotheses. We represent bundles of tracks to avoid redundant computing, but we remember to multiply our track scores by how many individual target tracks are(More)
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