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。
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.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2003年第3期315-320,共6页
Geomatics and Information Science of Wuhan University
基金
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)
关键词
多分辨率
层次结构
遥感
影像分析
语义提取
信息提取
remote sensing
image analysis
multi-resolution hierarchy
classification
semantic extraction
information recognition
