摘要
现代多媒体技术手段的运用,使现代教育产生了天翻地覆的变化.如何建立适合于学和教的多媒体教学系统,以喜闻乐见的形式很方便地应用于教学实践,是教育工作者和软件开发者的不懈追求.基于工程制图多媒体CAI的研制和应用经历,探讨了助教型和助学型两种不同类型的工程制图多媒体课件的设计开发特点,并且对比讨论了它们在教学实践中的功能和作用.
Classification of Remote Sensing image using computer recognizes objects by data analysis of Remote Sensing image pixels. Based on the world wetland Remote Sensing classification analysis, this paper has applied the ETM Remote Sensing data and assist data, used BP nerve network to study part wetland in Dong ying city. Also this study has com- pared its accuracy with the maximum likelihood classification' s. This indicates that BP Neural Network method is an effective wetland classification method, and it can improve the classification accuracy of Remote Sensing images.
出处
《韶关学院学报》
2007年第3期57-60,75,共5页
Journal of Shaoguan University
关键词
多媒体
课件
网络教学
工程制图
BP neural network
wetland classification
remote sensing
error matrix