Adaptive detection of subpixel targets using multiband frame sequences

This paper describes adaptive signal processing techniques that utilize spectral and temporal information provided by passive infrared imaging sensors to enhance the detectability of sub- pixel targets in clutter. The approaches are directly applicable to advanced sensors like the DARPA-sponsored MUSIC instrument, which are capable of collecting multi-spectral frame sequences in the thermal infrared region. The performance of several algorithm concepts is demonstrated by processing dual-band frame sequence data taken by the MUSIC sensor. The examples also demonstrate the importance of accurate frame registration prior to multiple- image signal processing.