Research on Remote Sensing Image Classification and Post Classification Integrated Techniques
遥感图像分类与后处理综合技术研究：基于约束满足神经网络方法

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_classification 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.