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Applications Of The Discriminant Function In Automatic Pattern Recognition Of Side-Looking Radar Imagery

There have been some technological improvements for identifying and interpreting side-looking radar imagery since the appearance of Hoffman's review article on radar technology in 1960 [1]. These are marked by the refinement of traditional photo-interpretation techniques, and the use of false-color enhancement and isodensitracer [microdensitometer] attempting to correlate density patterns with terrain features [2]. These methods proved to be more sophisticated for individual case studies, but not efficient for processing the massive inflow of SLR data from aerospace platforms as expected in the future. The purpose of this paper is to suggest an automatic pattern recognition system of SLR imagery based upon discriminatory analyses on the isodensitracer and TV scanned data.