Automatic target recognition based on neutral networks
Sheng-Zho Huang · 2010
Several researches published about artificial neural networks are connected with military problems. This research put forward ideas connected with the processing of military information to search and identify targets-automatic target recognition (ATR). A main-purpose automatic target recognition system did not exist. The research put forward here was demonstrated on military data, however it could only be considered as a proof of principle until systems were fielded and proven “under-fire”. A TR data could be in the form of non-imaging one-dimensional sensor returns, such as ultra-high range resolution radar returns for air-to-air automatic target recognition and vibration signatures from laser radar for recognition of ground targets. The ATR data could be two-dimensional images. The most common ATR images were infrared, but current systems might also deal with synthetic aperture radar images. Finally, the data could be three-dimensional, such as sequences of multiple exposures taken over time from a no stationary world.