29 September 1994 Tanks in trees: a case study of ternary phase-amplitude filter classification trees
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Abstract
This paper presents an algorithm for constructing a ternary phase-amplitude synthetic discriminant function filter tree for classifying an unknown image. The tree can classify an image in 2(DOT)Log2(N) filter applications, where N is the number of training set images used to construct the tree. An example tree is constructed to demonstrate the concept. The example tree contains 10 M60-A1 images and 10 T62 images from 0 degree(s) - 90 degree(s) orientation. The resulting tree is applied to 162 test images of M60 and T62 tanks that were not included in the training set. The tree was 100% accurate in classifying each test image as the correct type of tank, and was 94% accurate in identifying the training set image that each test image was closest to in orientation.
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David L. Calloway, David L. Calloway, "Tanks in trees: a case study of ternary phase-amplitude filter classification trees", Proc. SPIE 2297, Photonics for Processors, Neural Networks, and Memories II, (29 September 1994); doi: 10.1117/12.187292; https://doi.org/10.1117/12.187292
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