A Aerial Images Segmentation Method Based on Rough Sets and Neural Networks

摘要：

The problem of aerial image segmentation using Rough sets and neural networks has been considered. Integrating the advantages of two approaches, this paper presents a hybrid system different from those previous works where rough sets were used only for accelerating or simplifying the process of using neural networks for aerial image segmentation.The lybrid system have been advanced to improve its performance or to explore new structures.These new segmentation algorithms avoids the difficulty of extracting rules from a trained neural network and possesses the robustness which are lacking for rough set based approaches.The proposed schemes are tested comparatively on a bank of test images as well as real world images.

关键词： Aerial image segmentation Rough sets Xeural networks

作者: Fu Xiao Liu Jin Wang Haopeng Zhang Bin

作者单位: Department of Fundamental Courses Air Force Aviation University Changchun,China Elementary Flight Training Base Air Force Aviation University Changchun,China Department of viation Survival Air Force Aviation University Changchun,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Education Technology and Computer(2011第三届教育技术与计算机国际会议 ICETC2011)

会议地点: 成都

会议语种:英文

页码: 144-147

在线出版日期: 2011-07-15（万方平台首次上网日期，不代表论文的发表时间）