面向多分辨率层次结构的遥感影像分析方法

基金项目: 国家留学基金委资助项目;以色列高等教育委员会资助项目(Tamoz)

详细信息

Remote Sensing Image Analysis Based on Hierarchical Multi-resolution Structures

The Research Center of Spatial Information & Digital Engineering, Wuhan University, 129 Luoyu Road, Wuhan, China, 430079

摘要: 将输入数据源经过扩展分段处理,形成具有不同分辨率层次结构的影像目标。通过构建同层次目标之间、不同分辨率层次目标之间的关系,将目标识别、目标语义提取以及影像信息提取集成在单一的平台完成。
- 遥感 /
- 影像分析 /
- 多分辨率层次结构 /
- 分类 /
- 语义提取 /
- 信息提取
Abstract: The analysis of the remotely sensed images evolves in three stages:physical classification,semantic extraction,and information recognition.This paper proposes a new method for integrating the three stages into one common platform.Through this method,semantic extraction and information recognition can be synthetically performed with the classification procedure in the image processing.The mechanism analyzing the relationship in a multi-resolution hierarchy benefits the better understanding to the image objects,in both semantic and physical ways.Consequently,this method can be used for integration of remote sensing and GIS at semantic level.
- remote sensing /
- image analysis /
- multi-resolution hierarchy /
- classification /
- semantic extraction /
- information recognition