The Hopfield neural network as a tool for feature tracking and recognition from satellite sensor images

摘要: Abstract A new approach for feature tracking and recognition on sequential satellite sensor images using neural networks has been developed. Feature is recognized as being of importance in applications such ice-mapping, cloud motion winds, ocean currents, short-term forecasting. finds application automatic image navigation. This paper explores the potential a Hopfield network to perform or recognition, gives examples its implementation three different applications. It shown that net can provide superior performance existing techniques tracking, advantages this precision, speed, low sensitivity deformation, capacity detect rotational motion, directly cross- along-isopycnal components displacement vectors. also valuable tool navigation through coastline recognition.