The paper discribes the basic features of the artificial neural network computer-the sixth generation and its applications of image processing

pattern recognition in remote sensing.At first

it compares the major features of artificial neural network computer （NNC） with traditional digital computer. That was parallel massively （distributed） processing; mu-merous processing/memory elements; several mapping structures; learning networks based on train; self-oranigation etc.Then it discribes the princeples of operation of the basic neural unit and some typical’ current artificial neural networks and its basic schematic model

which included input

hidden and output layer with connected weights.At final

some approached examples show the special purpose application of image pattern recognition and classification using artificial neural network in the remote sensing field. It can provide some intereting hints.