基于特征和规则的河流水系信息提取研究——以宜昌市河长制水系信息核查为例

借助高分辨率遥感影像数据信息的丰富优势,提出了一种针对河流水系信息的面向对象识别模型。该模型将水系的特征模型进行了归纳和总结,并对模型中的特征及其子特征的规则进行了详细的定义。最后以宜昌市远安县区域为例,运用该模型对水系信息进了自动化提取实验。结果表明:该方法能针对影像上水体信息特征集合,对河流水系要素进行有效提取,相比于其他传统分类方法,有更高的识别准确度。本研究有助于在推进全国河长制管理中,提升河流水系信息整理核实的自动化程度和准确性,为相关管理工作提供可借鉴的方法与思路。

Information Extraction for River System Based on Characteristics and Rules:A Case Study on Information Verification of River Chief System in Yichang

With the assistance of high resolution remote sensing image data, an object-oriented recognition model for river system information is proposed. This model summarizes the characteristics of water information in image, and defines the rules and its sub-characteristics in detail. Moreover, an experiment for water system information extraction is conducted for Yuan'an County, Yichang City as a case study. Result demonstrates that the proposed model could extract the river system features on remote sensing images effectively, and therefore is more accurate in identifying water system in comparison with conventional classification methods. The present research is helpful in improving the automation and accuracy of river information extraction and verification for the promotion of river chief system.