Dimensional Automatic Target Classification

Harold W. Rose; James C. Rachal

doi:10.1117/12.965739

12 November 1981 Dimensional Automatic Target Classification

Harold W. Rose, James C. Rachal

Proceedings Volume 0281, Techniques and Applications of Image Understanding; (1981) https://doi.org/10.1117/12.965739
Event: 1981 Technical Symposium East, 1981, Washington, D.C., United States

Abstract

High resolution electro-optical sensors are emerging from technology, offering a capability to remotely determine geometric shape of objects. In terms of military reconnaissance and surveilance needs, this capability enhances the potential to detect, classify, and identify enemy targets automatically, and record or report only their type and location. The objective of this paper is to outline the general nature of an automatic classifier for processing high resolution, active electro-optical sensor data on the basis of target dimensional features. A simple geometric analysis is used to demonstrate the predominant features of the data, and to suggest approaches for cueing potential targets by masking out extraneous background data. The goal is to provide an early data reduction so that potential target subframes can be processed in the classification processor at lower data rates. Both line-scan and raster-scan data formats are considered, in forward- and down-looking configurations.

Citation Download Citation

Harold W. Rose and James C. Rachal "Dimensional Automatic Target Classification", Proc. SPIE 0281, Techniques and Applications of Image Understanding, (12 November 1981); https://doi.org/10.1117/12.965739

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