The precision of computer classification is the main obstacle to the wide application of computer remote sensing information processing system. We model the smoothing classification results process as a constraint optimization problem

and integrate it with the classification process through neural network method

then present a remote sensing image classification and post

c

lassification integrated technique based on constraint satisfaction neural network. This paper analyses The judging process of careerman

and discusses the theoretic model of neural network classification method in detail. The experimental results show that this method can improve the precision of classification saliently.