Study Surveys on High-Resolution Remote Sensing Image Segmentation

摘要：

Image segmentation is a main research focus in the area of image analysis and machine vision since years. Methods of image segmentation become more and more important in the field of remote sensing image analysis. In the remote sensing community, the object-oriented remote sensing images analysis, which can bridge remote sensing and GIS, is a new and promising research field, and its basic issue to be solved is image segmentation. The characters of remote sensing image, especially in high-resolution special remote sensing field, such as tremendous image information, multi-bands, faint border and complex structure, etc. bring image segmentation much more difficulties. Hence, a survey of high-resolution remote sensing image segmentation methods is presented. The author summarizes the sensing image segmentation methods from two aspects systematically, which can be referenced by embedded study in the field and heuristic for those who are studying image processing and analysis.

关键词： remote sensing images high-resolution image segmentation object-oriented image analysis

作者: Zhenyu Gao Xiaomei Yang Jianming Gong Hai Jin

作者单位: School of Remote Sensing and Information Engineering, Wuhan University,129 Luoyu Road, Wuhan, Hubei State key Lab of Resources and Environment Information System, Chinese Academy of Science,11A Datun School of Remote Sensing and Information Engineering, Wuhan University,129 Luoyu Road, Wuhan, Hubei

会议类型: 国际会议

会议名称: 北京国际地理信息系统学术讨论会第七届会议（7th International Workshop Geographical Information System

会议地点: 北京

会议语种:英文

页码: 389-393

在线出版日期: 2007-09-14（万方平台首次上网日期，不代表论文的发表时间）