Discussion on the automatic extraction of urban areas variation info from TM image

摘要：

The extraction of urban areas variation info from remote sensing image is an important step for monitoring and measuring urban change. In this paper, a structural method will construct for automatically extracting variation information of urban area. The methodology is constructed by L-Ratio method which is base on PCA, method of digital image processing (threshold value, mask layer and so on) and opening of mathematical morphology. It acquired a good experimental effect.

关键词： remote sensing automatic extraction TM image PCA

作者: Ziwu Wang Jingshi Li Zhijie Zheng

作者单位: Anhui Vocational College of Posts and Telecom Hefei Anhui 230031, China School of Information and Software Yunnan University Kunming Yunnan 650091, china

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 2670-2673

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）