Data Compression and Pattern Recognition Software for Hypersensor Data

Historically, there have been various approaches to problems relating to the detection of small, weak, or hidden objects, substances, or patterns embedded in complex backgrounds. One approach has been to use low-dimensional sensor systems that attempt to detect a clean signature of a well-known target in some small, carefully chosen subset of all possible attributes, e.g., one or a few spectral bands. These systems generally have difficulty when the target signature is heavily mixed in with other signals, so they typically can detect subpixel targets or minority chemical constituents of a mixture only under ideal conditions, if at all.